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CSQ426R259 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, often serving multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: Main use cases moving from ‘win’ to production Enablement/user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala  Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management, including account, stakeholder, and resource management accountability Experience in resolving complex and important escalations with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysi,s and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed LI#Remote  Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.  Zone 1 Pay Range$161,300—$225,800 USDZone 2 Pay Range$161,300—$225,800 USDZone 3 Pay Range$161,300—$225,800 USDZone 4 Pay Range$161,300—$225,800 USDAbout Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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ABOUT POOLSIDEIn this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.View GDPR PolicyABOUT OUR TEAMWe are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.ABOUT THE ROLEThe Solutions Architect (Public Sector) role at Poolside is a uniquely hands-on position that blends deep technical execution with high-impact customer engagement.As a Poolside SA, you’ll take end-to-end ownership of how our AI platform is deployed into large enterprise and government environments. You’ll work directly with customers to design, deploy, and support highly secure and performant infrastructure—often tailoring Terraform and Kubernetes configurations to fit mission-specific requirements.Beyond implementation, you’ll also help evolve how Poolside is deployed across air-gapped, hybrid, and cloud environments—shaping our deployment architecture as we scale into new markets.This is not a pre-sales demo role. It’s a hybrid between solution design, DevOps, and deployment engineering—ideal for someone who enjoys building, automating, and troubleshooting real systems in production.YOUR MISSIONEnsure every Poolside customer achieves a fast, reliable, and secure deployment—whether in AWS, private cloud, or fully air-gapped environments—while continuously improving our deployment tooling and processes.RESPONSIBILITIESArchitect & Deploy: Design and customize Poolside deployments across Kubernetes and Terraform-based environments (cloud, hybrid, on-prem).Troubleshoot & Optimize: Diagnose complex infrastructure and networking issues across clusters, storage, and CI/CD pipelines.Automate & Improve: Build automation workflows using Ansible, GitHub Actions, or ArgoCD to streamline provisioning, upgrades, and monitoring.Collaborate & Guide: Work directly with customer DevOps and security teams to ensure compliance, reliability, and observability.Evolve the Platform: Contribute to Poolside’s core deployment framework—improving standardization, resilience, and operator experience.Document & Share: Maintain clear runbooks, deployment guides, and internal documentation for repeatable success.SKILLS & EXPERIENCEStrong hands-on experience with Kubernetes (Helm, operators, manifests, troubleshooting pods, services, ingress, etc.)Proficiency in Terraform for infrastructure provisioning (AWS preferred; Azure or GCP also valuable)Deep understanding of networking, load balancing, DNS, and certificatesComfort with Linux, Docker, Git, and modern DevOps workflowsFamiliarity with monitoring & observability stacks (Grafana, Prometheus, Datadog, etc.)Experience with automation tools such as Ansible, ArgoCD, or GitHub ActionsStrong debugging and process-of-elimination troubleshooting skillsExcellent written and verbal communication—able to bridge engineering detail and customer contextActive TS/SCI Clearance preferredNICE TO HAVEExperience deploying or securing AI/ML systems in productionFamiliarity with RKE2, air-gapped environments, and STIG-hardened operating systemsProgramming knowledge in Python, Go, or BashBackground in government, defense, or regulated industriesWHY THIS ROLE IS DIFFERENTPoolside SAs aren’t just supporting customers—they’re shaping how our platform is delivered to the world’s most demanding environments. You’ll operate at the intersection of infrastructure engineering, product development, and customer impact, helping define what enterprise-grade AI deployment looks like.PROCESSIntro call with José, our Head of Production EngineeringTeam-fit call with Beatriz, our Head of PeopleTechnical Interview(s) with a panel composed by José and other Founding EngineersCustomer discussion with one of our Sales representativesFinal interview with Eiso, our CTO & Co-FounderBENEFITSFully remote work & flexible hours37 days/year of vacation & holidaysHealth insurance allowance for you and dependentsCompany-provided equipmentWellbeing, always-be-learning and home office allowancesFrequent team get togethersGreat diverse & inclusive people-first culture

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Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs.We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.As a hybrid company, we require minimum 25Mbps consumer grade broadband connection.What You’ll DoHorizon3AI is committed to defending businesses from the ever-growing threat landscape. Our advanced solutions and expert team provide unparalleled security for our clients. We are looking for a passionate Sales Engineer/Solutions Architect based in Amsterdam to join our team and help prospects and clients understand the true value and capabilities of our product(s) and services.Technical expertise - Must demonstrate deep knowledge of our cybersecurity products and services, assisting the sales team in presenting and position them to prospects and clients.Customer engagement - Must meet with potential customers to understand their cybersecurity needs, challenges, and infrastructure, ensuring that our solutions are the perfect fit for them.Product demonstrations - Provide live demos and proof of concepts for our cybersecurity solutions, tailoring each demo to the specific needs and concerns of the potential customer.Solution development - Will work closely with the sales and product teams to design and refine our solutions based on customer needs.Technical training - train the sales team on the technical aspects of our products to enhance their ability to sell more effectively.Feedback loop - relay feedback from the field to our product and engineering teams, contributing to the ongoing improvement of our product.RFP/RFI assistance - Assist in answering technical sections of RFPs and RFIs.Post-sales support - On rare occasions, assist in post-sales processes to ensure the smooth implementation and satisfaction of our customers.What You’ll BringBachelor’s degree in computer science, IT, cybersecurity, or a related field.Location: Amsterdam (Hybrid, 3 days per week based at our Amsterdam city centre sales hub). 5+ years of experience as a Pre-Sales Engineer/Solutions Architect, ideally in the cybersecurity domain.Strong understanding of cyber threats, risk management, and cybersecurity solutions.Excellent verbal and written communication skills.Demonstrates ability to simplify complex technical topics for a non-technical audience.Highly collaborative with a strong sense of initiative.Language Skills: Fluency in the English language.Perks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Hybrid Work: We are a hybrid company. Enjoy the convenience and work-life balance that comes with hybrid working, 3 days per week based in our office. Competitive Compensation: We offer competitive salary and benefits which includes health, vision & dental care for you and your family, a flexible vacation policy, and generous parental leave. Compensation and ValuesAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.You Belong HereHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, hair length or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Application NoteIn any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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Robyn is not just an AI app — she’s your emotionally intelligent companion. A trusted mirror. A guide. A new kind of OS for your emotional life.We're building the world’s first emotional intelligence layer for AI.You’ll be building the backend infrastructure that powers all of it:Conversations, memory, and real-time personalizationVoice + chat interfaceScalable infra for emotional intelligenceSecure and fast APIs for our iOS appA robust ML inference and fine-tuning pipelineYou’ll be the technical backbone of Robyn — designing and shipping fast, scalable, emotionally aware systems while collaborating closely with iOS, product, and AI teams.This is a rare opportunity to define the foundations of emotionally intelligent AI. Everything beyond the core LLM — memory, emotional layer, and relational engine — is built fully in-house. The backend engineer will help architect the systems that make Robyn feel human: writing the foundational codebase for the next wave of AI — one that feels, remembers, and connects.What You'll DoBackend & Infra OwnershipYou'll work and add to our C# / .NET / ASP.NET backend api layer (have experience in this or something similar like Java/Spring and can learn quickly) and progressively add many Python microservices (FastAPI or AWS Lambda) with modular, AI-native architecture in mind to build our intelligence layer. Deploy models and setup some ml training pipelines.Understand dependency injection, Strategy Pattern, inversion of control, and other best practices for code maintainabilityOwn the full backend surface area — auth, APIs, infra, orchestration — and design all of your features for scale and velocity.Build and maintain REST and GraphQL APIs consumed by our iOS client; low-latency, resilient, and well-instrumented.Architect a microservice-style ML model serving backend deployed via Docker containers or AWS Lambda (SnapStart), backed by async eventing and pub/sub where needed.Own CI/CD, rollback strategies, logging, error handling — the backend is your domain, end-to-end.AI & ML Systems IntegrationArchitect and manage existing vector DB (PgVector) and potentially add more to power retrieval-augmented generation, evolving memory, and personalization.Build tools and add to our custom memory pipelines tied to user context, embeddings, and interaction history.Integrate and scale inference with OpenAI, Claude, Llama, or other models. Build wrappers, manage caching, fallbacks, and prompt routing logic.Own emotion and sentiment tagging workflows; plug in APIs or run lightweight classifiers in-line.Maintain API orchestration layer with 3rd party model providers (OpenAI, ElevenLabs, etc.).Cloud Infra, DevOps, and Data StackManage our AWS infrastructure and add to our current stack with new innovate technologies: Lambda, ECS, S3, RDS (Postgres), CloudFront, IAM, Route53 — you’ll be the one making the call on architecture and trade-offs.Be able to use search databases like OpenSearchInfra-as-code with Terraform. Pipelines through GitHub Actions.Full observability: metrics, structured logging, tracing, alerting — Open Telemetry, Sentry, Grafana, Cloudwatch, etc.Optimize latency across API surface, tune Postgres indexes, add Redis caching layers to many of your services and pub/sub or streaming for near-instantaneous data sync.Set up and secure infra for SOC-2 readiness: access controls, data lifecycle policies, encrypted storage.Personalization & Emotional Intelligence LayerDesign and ship emotion-aware backend systems that update in real time based on user behavior.Implement custom memory engines — user embeddings, experience graphs, emotional scores — and build APIs that adapt over time.Work with product and AI to tune behavior of Robyn based on user feedback, emotion logs, memory history, and interaction loops.All personalization logicYou’re Probably Right for This If:You have 6 - 15 years of experience in backend or full-stack development; building 0-1 products or teams in a startup environmentYou’ve shipped entire production backends at high-growth early-stage startups — you know how to move fast and still write code you don’t hate six months later.You’ve integrated or scaled LLM-based products — bonus if you’ve done it with emotion, memory, or personalization layers.You care about systems thinking, fast response times, clean abstractions, and building infra that won’t fall over under load.You’ve done the zero-to-one and can hold both the product in your head and the infra in your hands.You’re able to figure things out quickly and dive in wherever needed. There’s no “that’s not my job” here.You're allergic to bloated teams — you’d rather build it right yourself than manage a swarm of mid devs doing it wrong.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support:  Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$280,000—$300,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. The GNC team focuses on researching and developing state-of-the-art algorithms that drive high-performance flight for the VBAT and XBAT, both vertical take-off and landing (VTOL) aircraft. As a Controls Engineer on this team, you’ll work on an agile, mission-driven, and values-focused team grounded in first principles to push the boundaries of the state-of-the-art. WHAT YOU’LL DO:Design, develop, and optimize flight control systems for a family of advanced unmanned VTOL vehiclesExecute simulations and real-world tests of VTOL vehiclesExtract linear aircraft state space models from nonlinear modelsUpdate system models leveraging system identification techniques, both offline and onlineRoot-cause, triage, and resolve flight control system defectsImprove test infrastructure, including improvements to unit test coverage, simulation fidelity, analysis tools, etc.Support roadmapping and planning for next-generation flight control systemsWork with hardware teams to design and select servos, propulsion systems, inertial navigation systems, air data units, vision-based navigation systems, etc. REQUIRED QUALIFICATIONS:BS or higher in Aerospace, Aeronautical, Mechanical, Electrical, or Software Engineering with a focus on Control SystemsExperience tuning and optimizing control systems in simulation and real-world for stability and performanceExperience with C++ in a production environmentExperience with data analysis toolsPassion for solving complex problems in a fast-moving environmentDemonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others PREFERRED QUALIFICATIONS:Two years or more of professional experience in the area of robotics, vehicle dynamics modeling, aircraft flight controls, or simulationExperience with C++ 17 or newerFamiliarity with git, bash, PythonFamiliarity with best practices for software engineering, such as test-driven development, continuous integration & delivery, containerization, etc.

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About TensorWave At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.We’re looking for our first Product Manager to help us deeply understand our users and evolve our core infrastructure platform.What You'll DoBe the voice of the user. Talk to real customers daily — uncover how they’re using our GPU cloud, what problems they’re facing, and where we can help. Do the grunt work. Research competing solutions, study usage data, log feedback, and aggregate insights that inform product direction. Work hand-in-hand with engineering. Translate user problems into clear, technically-grounded suggestions for our eng team. Be in the loop on implementation and feasibility. Drive tactical product improvements. This is not about vision decks — you’ll own small, practical product decisions and help us ship fast. Understand the hardware. Our product is infrastructure: GPUs, interconnects, thermal design, memory bandwidth, cluster scheduling. You should love this stuff or be hungry to learn it. Own the roadmap (lightly). Keep an evolving list of what matters most. Prioritize customer impact. Make sure we’re not flying blind. Stay humble and curious. We don’t want someone trying to "own the product" — we want someone obsessed with understanding it. What We’re Looking ForMust-haves:Experience working with cloud infrastructure or GPU-based compute platforms You've either: Built or scaled a GPU/cloud platform Been a power user of cloud GPU clusters (e.g. ML researcher, systems engineer, etc.) Comfort working closely with engineering — possibly an engineering background yourself Strong customer empathy and experience in user research or product discovery You default to learning and listening, not over-asserting You’re comfortable owning small, iterative product decisions — not trying to design the master plan Nice-to-haves:Experience in early-stage startups or 0→1 product environments Understanding of AMD Instinct GPUs, ROCm, or similar AI/ML infrastructure stacks Technical writing or documentation experience Why This Role MattersThis is not a traditional SaaS PM job.We need someone who can deeply understand the needs of ML engineers, infrastructure teams, and AI researchers — and help us build a product that fits. You’ll be the connective tissue between our users and our hardware-backed engineering teams.This role reports directly to our CEO and works across engineering, operations, and support.What We Bring:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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About HeyGen At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com.  Visit our Mission and Culture doc here. We are seeking a seasoned Technical Leader to build and scale the foundational compute infrastructure that powers our state-of-the-art AI models—from multimodal training data pipelines to high-throughput, low-latency video generation. Responsibilities You will be the core engineer responsible for building the robust, efficient, and scalable platform that enables our research and production teams to rapidly iterate on HeyGen's generative video models. Your contributions will directly impact model performance, developer productivity, and the final quality of every AI-generated video. Optimize GPU Utilization: Design and implement mechanisms to aggressively optimize GPU and cluster utilization across thousands of devices for inference, training, data processing and large-scale deployment of our state-of-art video generation models. Develop Large-Scale AI Job Framework: Build highly scalable, reliable frameworks for launching and managing massive, heterogeneous compute jobs, including multi-modal high-volume data ingestion/processing, distributed model training, and continuous evaluation/benchmarking. Enhance Observability: Develop world-class observability, tracing, and visualization tools for our compute cluster to ensure reliability, diagnose performance bottlenecks (e.g., memory, bandwidth, communication). Accelerate Pipelines: Collaborate closely with AI researchers and AI engineers to integrate innovative acceleration techniques (e.g., custom CUDA kernels, distributed training libraries) into production-ready, scalable training and inference pipelines. Infrastructure Management: Champion the adoption and optimization of modern cloud and container technologies (Kubernetes, Ray) for elastic, cost-efficient scaling of our distributed systems. Minimum Requirements We are looking for a highly motivated engineer with deep experience operating and optimizing AI infrastructure at scale. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 5+ years of full-time industry experience in large-scale MLOps, AI infrastructure, or HPC systems. Experience with data frameworks and standards like Ray, Apache Spark, LanceDB Strong proficiency in Python and a high-performance language such as C++  for developing core infrastructure components. Deep understanding and hands-on experience with modern orchestration and distributed computing frameworks such as Kubernetes and Ray. Experience with core ML frameworks such as PyTorch, TensorFlow, or JAX. Preferred Qualifications Master's or PhD in Computer Science or a related technical field. Demonstrated Tech Lead experience, driving projects from conceptual design through to production deployment across cross-functional teams. Prior experience building infrastructure specifically for Generative AI models (e.g., diffusion models, GANs, or large language models) where cost and latency are critical. Proven background in building and operating large-scale data infrastructure (e.g., Ray, Apache Spark) to manage petabytes of multi-modal data (video, audio, text). Expertise in GPU acceleration and deep familiarity with low-level compute programming, including CUDA, NCCL, or similar technologies for efficient inter-GPU communication. What HeyGen Offers Competitive salary and benefits package. Dynamic and inclusive work environment. Opportunities for professional growth and advancement. Collaborative culture that values innovation and creativity. Access to the latest technologies and tools.   HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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ABOUT RETELL AIRetell AI is using the first principles to reimagine the call center with cutting edge voice AI.We believe voice is still the most natural way humans communicate, yet it has been trapped in outdated call centers for decades. Our mission is to bring intelligence, empathy, and speed to every phone conversation between businesses and their customers.Since launching 18 months ago, thousands of companies now utilize Retell’s AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Altman Capital, and other leading investors, we have scaled to $30M ARR with a team of 20 people, up from $5M at the start of 2025.Now, we’re scaling fast, and we’re looking for bold, ambitious people to help us build the gold standard for voice automation. If you want to work on deeply technical challenges, move fast, and make an outsized impact at one of the fastest-growing Voice AI startups in the world, you’ll love it here.Let’s build the future of voice automation together.We’re a top 50 AI app in a16z list: https://tinyurl.com/5853dt2xWe're also one of the top ranking startups on: https://leanaileaderboard.com/ABOUT THE ROLEThis is a hands-on, high-ownership role for ML engineers who want to build production models that actually ship, and perform under real-world constraints. As a Founding Senior Machine Learning Engineer at Retell, you’ll work across the ML stack to power human-like voice agents that handle millions of real-time phone conversations.You’ll fine-tune large language models and audio models, evaluate them with rigorous benchmarks (and human feedback), and deploy them into latency-sensitive, high-traffic systems. You’ll own model performance end-to-end—from training pipelines to post-deployment monitoring—and shape our ML strategy alongside the founding team.If you’re excited by hard technical challenges, fast iteration, and the opportunity to define how voice AI works at scale, this role is a rare chance to do it from the ground up.KEY RESPONSIBILITIESTrain & Tune Models – Fine-tune LLMs and audio models to maximize speed, accuracy, and production-readiness—pushing the frontier of real-time AI voice experiences.Benchmark & Evaluate – Build datasets, define rigorous metrics, and measure model performance across high-impact voice AI tasks to guide development.Deploy to Production – Work closely with engineering to ship models, monitor them in the wild, and ensure they stay fast, reliable, and accurate at scale.Run Human Evaluations – Build scalable pipelines to collect structured human feedback, benchmark subjective quality, and inform model iterations.Level Up Infrastructure – Design and maintain the ML infrastructure needed for fast experimentation, robust training, and continuous deployment. YOU MIGHT THRIVE IF YOUML Engineer with Real-World Experience – You’ve trained and shipped models in production. Bonus if you’ve worked with LLMs or audio models.Fluent in Modern ML Stack – You know your way around Python, PyTorch, and today’s ML tools—from training pipelines to evaluation benchmarks.Execution-Oriented – You move fast, take ownership, and focus on solving real problems over perfect ones.Startup-Ready – You’re adaptable, resilient, and energized by ambiguity and fast-changing priorities.Clear Communicator & Team Player – You collaborate well across functions and push decisions forward. JOB DETAILSJob Type: Full-time, 70 hr/week (50 hr/week onsite with flexible hours + 20 hr/week work from home)Cash: $200,000 - $280,000 base salary Equity: .0.15% – 0.35%Location: Redwood City, CA, USUS Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H1B/H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas. OTHER BENEFITS100% coverage for medical, dental, and vision insurance$70/day DoorDash credit for unlimited breakfast, lunch, dinner, and snacks$200/month wellness reimbursement (gym, fitness classes, etc.)$300/month commuter reimbursement (gas, Caltrain, etc.)$75/month phone bill reimbursement$50/month internet reimbursement COMPENSATION PHILOSOPHYBest Offer Upfront: Choose from three cash-equity balance options, no negotiation needed.Top 1% Talent: Above-market pay (top 5 percentile) to attract high performers.High Ownership: Small teams, >$1M revenue/employee, and significant equity.Performance-Based: Offers tied to interview performance, not experience or past salaries. INTERVIEW PROCESSOnline Assessment (30 min): Coding questions on practical problem-solving (7 days to complete).Talent Screen (15min): chat with our recruiter to get a better sense of the role, the team, and what it’s like to work here.Technical Interview (45 min): Machine Learning specific coding Interview.Technical Interview (45 min): Live Practical Systems Design and Coding Interview.Onsite/Virtual Interviews (3 hrs): Hosted in our office if located in the Bay Area or virtual, with three rounds:ML System Design: A non-coding interview focused on whiteboarding and high-level system architecture.ML Question Deep Dive: In-depth discussion exploring your approach to a machine learning problem.Backend + AI Practical: A hands-on coding interview combining backend development with AI integration.Offer: Final stage, pending decision and offer discussion.

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About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us?We're looking for a Staff Machine Learning Research Scientist to help define and drive Rad AI's next generation of applied research in NLP and clinical AI.The ideal candidate brings deep experience in cutting-edge ML techniques (Transformers, LLMs, Agentic systems) and their application to the healthcare domain. You should be comfortable with medical literature, clinical terminology, and the nuanced decision-making criteria doctors use every day.You'll collaborate closely with clinicians, engineers, and product leaders to translate foundational research into production-scale systems that improve outcomes for doctors and patients alike.What You'll Do:Lead high-impact ML research projects from concept to deployment, focused on clinical NLP and reasoning systems.Define the technical direction of research initiatives within your product area; identifying opportunities to apply state-of-the-art models to real-world radiology workflows.Collaborate deeply with radiologists and clinical experts to understand diagnostic reasoning patterns, report structures, and clinical decision-making criteria—then encode that understanding into robust ML systems.Architect and evaluate models that integrate structured and unstructured medical data (clinical notes, diagnostic criteria, patient context) to enhance diagnostic reasoning and reporting accuracy.Build NLP systems that can parse, reason over, and generate clinically accurate content using medical terminology and ontologies.Mentor and guide other researchers in experimental design, model reproducibility, and technical communication.Advance research infrastructure by contributing to data pipelines, training frameworks, and model evaluation tooling.What We're Looking For:MS or PhD (or equivalent research experience) in Computer Science, Electrical Engineering, Computational Linguistics, Biomedical Informatics, or related quantitative field.6+ years of applied ML research experience (industry or academia).Proven experience building NLP or ML systems for healthcare, clinical documentation, or biomedical applications— You should have shipped models that work with clinical text, radiology reports, EHRs, medical literature, or similar medical data.Demonstrated fluency with medical terminology and clinical reasoning—you should be able to read and understand radiology reports, parse diagnostic criteria, and grasp how radiologists formulate clinical decisions.Track record of successful collaboration with clinicians—you've worked directly with physicians, radiologists, or clinical researchers to understand requirements, validate models, and iterate based on medical domain expertise.Deep expertise in NLP and modern deep learning architectures—particularly transformers and large language models.Strong engineering skills with modern ML frameworks such as PyTorch.Demonstrated ability to take ML models from research to production in complex, data-rich environments.Exceptional written and verbal communication skills—able to explain complex technical ideas to cross-functional partners and synthesize clinical domain knowledge into research directions.Preferred QualificationsExperience with medical named entity recognition, clinical text classification, information extraction, report generation, or diagnostic reasoning systems.Prior work modeling clinical decision-making logic, differential diagnosis, or impression synthesis.Familiarity with medical data standards (DICOM metadata, HL7/FHIR) and healthcare NLP corpora.Clinical background (MD, DO) or formal training in medical informatics, computational biology, or health systems.Experience working specifically in radiology, diagnostic imaging workflows, or medical reporting systems.Track record of technical mentorship and contribution to broader research culture.Experience in regulated or privacy-sensitive domains (HIPAA, FDA, etc.).Publications in healthcare AI, clinical NLP, or biomedical informatics venues.Why This Matters:Radiologists are the invisible backbone of modern medicine. Every diagnosis, every surgery, every treatment plan begins with their interpretations. Yet they're often overwhelmed by cognitive load, repetitive tasks, and administrative overhead.At Rad AI, we're using ML to change that—building intelligent systems that understand medical context, streamline documentation, and amplify human expertise.You've already seen how AI can transform healthcare. Now help us push it further.Join us in shaping how AI supports the next generation of medical professionals.Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-aiFor US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.Note: this role is based out of the EMEA territory.Regional ExpectationsBased in an EMEA time zone with strong overlap to customer business hours.Excellent written and spoken English. Additional European languages are a strong plus.OpportunityDeepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!What You'll DoSelf-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetingsWork closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectivenessHave a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyersEstablish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoingYou’ll Love This Role If YouValue having leadership that has tenure and a track record of successThrive working with A Players as cross-functional partners across GTMUnderstand the importance of selling a product that is market validated and can deliver on its technical promiseBelieve there should be no cap to upside and want control of account up-sell potentialAre passionate about what Deepgram is building and how we are changing what is possible with speechIt’s Important to Us That You HaveProven experience in a technical full-cycle sales roleExperience building your own pipeline from scratch and closing accountsConsistent overachievement against sales targets in past experiencesStrong written and verbal communication skillsEmpathy and a unique ability to understand customer needsHighly organized with exceptional follow-up skills due to managing multiple opportunities at any given timeAbility to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.It Would Be Great If You HadFamiliarity with Challenger or Triangle sales methodologyExperience selling to a technical audience in a similar spaceExperience selling developer tools, infrastructure, or AI/ML technologies.Fluency in German, French, Dutch, or other major regional languages.Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleWe’re looking for a Tooling Engineer to design and build the tools that enable our autonomy and ML teams to move faster. You’ll work across simulation, visualization, and data infrastructure to improve the way engineers develop, test, and validate autonomy algorithms.This is a highly versatile role combining strong software engineering with a deep understanding of technical users. You’ll own the architecture, development, and deployment of tools that become essential to Harmattan’s core R&D workflow.ResponsibilitiesBuild internal tooling for autonomy and ML teamsDesign and maintain tools for flight simulation, software-in-the-loop (SIL) testing, and data visualizationDevelop interactive dashboards for telemetry playback, flight trajectory visualization, and sensor data explorationCreate dataset management and annotation tools for ML workflowsDevelop and scale backend infrastructureBuild backend services for experiment tracking, data storage, and performance dashboardsSupport cloud deployment (GCP or equivalent) and ensure seamless integration with CI/CD and data pipelinesEstablish standards for code quality, testing, and documentation of internal toolsCandidate RequirementsMSc or BSc in Computer Science, Software Engineering, Robotics, or equivalent professional experienceStrong software engineering experience in Python and C++Experience developing simulation, visualization, or data analysis tools (robotics, aerospace, ML, or automotive)Familiarity with cloud platforms (GCP or AWS)Understanding of CI/CD and internal software delivery practicesCommunication & Influence: Excellent written and verbal communication in French and English, capable of leading diverse principals – from junior members to senior executives.Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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PLEASE NOTE: This is a fully remote contract opportunity, with an estimated duration of 6 months with the opportunity to be extended. To be eligible, you must have authorization to work in the country you reside in.  About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Develop and evaluate complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis; collaborate in interactive sessions to assess model outputs for market relevance and compliance; provide detailed feedback to improve AI capabilities; and contribute to specialized projects in financial modeling, risk assessment, and equity research. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Education: PhD, Master, BBA in Finance, Economics, or related degrees. Certifications: CFA or CPA strongly preferred. Professional Background: 5+ years in FP&A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience. Skills: Strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment.  Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? Advance Finance AI Solutions: Apply your financial expertise to solve complex, real-world challenges where your judgment shapes advanced AI reasoning and decision-making. Professional Development: High-impact finance experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening analytical and financial skills, and gaining hands-on experience with cutting-edge AI applications. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: $80–$120/hr., depending on the projects. Application Process Apply: We review applications on a rolling basis. Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise. Interview: Candidates will meet with the HFC team to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleWe are looking for an experienced and results-oriented Plant Manager to lead operations at our production site, the global benchmark for AI-integrated and defense-grade manufacturing. You will oversee all aspects of site performance, from production and quality to logistics, compliance, and people development, ensuring operational excellence and continuous improvement in a high-tech, regulated environment.ResponsibilitiesOperational LeadershipLead end-to-end factory operations across semi-automated, fully automated, and high-spec zones.Deliver production targets (10,000+ units/month) while optimizing OEE, cycle time, and throughput using ERP/MES.Apply lean principles and one-directional flow across all manufacturing zones.Digital Manufacturing & TraceabilityManage real-time operations through Odoo-integrated dashboards and KPIs.Guarantee 100% material and process traceability in line with ICPE, ISO 9001/14001, and NATO STANAG 2280.Drive digital twin integration and predictive maintenance initiatives.Quality & SafetyEnsure ≥99% FPY through in-line testing, HEXpod calibration, and final QA.Supervise Metrology Lab, QA systems, and non-conformance resolution (8D).Maintain top-tier HSE and ICPE compliance (ISO 45001).Logistics & Material FlowOversee AGV-based logistics, Kardex storage, and outbound shipment performance.Monitor replenishment cycles, digital Kanban triggers, and warehouse KPIs.Align with corporate sustainability and waste-reduction goals.People & CultureBuild and lead a high-performance, cross-skilled team.Foster a culture of precision, accountability, and continuous improvement.Oversee recruitment, onboarding, and training.Governance & ReportingEnsure full compliance with NATO security, ESD, and audit standards.Report weekly and monthly KPIs to the Head of Production and executive leadership.Coordinate operational reviews, ethics compliance, and emergency readiness.Candidate RequirementsMaster’s or Bachelor’s degree in Industrial Engineering, Operations Management, or equivalent.8+ years of experience in complex industrial environments (aerospace, defense, or electronics).Proven expertise in lean manufacturing and digital MES/ERP systems (Odoo, SAP, etc.).Strong analytical, decision-making, and change-management skills.Communication & Influence: Excellent written and verbal communication in French and English, capable of leading diverse principals – from junior members to senior executives.Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.Nice-to-haveKnowledge of NATO STANAG 2280, ICPE, and ISO 9001/14001 standards.Experience scaling high-mix, high-precision production.Proficiency with Power BI or other data visualization tools.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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Meet SienaSiena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.The teamWe're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.About the roleAs Head of Engineering at Siena you'll set technical vision for the first intelligence layer in customer experience—AI pipelines, evals, integrations, multi-agent orchestration. Your job: decide where we build, what we buy, how we scale.You're shaping Siena's technical strategy, influencing product direction, building the culture. You operate as peer to product, design, and revenue leadership. And you still prototype with Cursor and Claude Code on weekends because that's who you are.We're looking for someone who's scaled teams to 30+, stayed deeply technical with AI tools, and thinks in systems while moving at startup speed. You bring infectious energy, high agency, and the rare ability to zoom from board strategy to debugging production in the same conversation.What you'll doSet technical roadmap aligned to business goals—make build vs buy decisions at company levelDouble our engineering team over 12-18 months—design team structures, develop leaders, coach and be an example for what's possible with agentic codingStay hands-on with AI tools—write prototypes, review critical PRs, ship experiments, maintain technical credibilityOperate cross-functionally—partner with product/design/revenue as peer, shape company strategyDrive velocity at scale—ship weekly, cut scope based on learning, rally teams through ambiguityBuild culture that attracts top talent—create momentum through energy, establish practices that scaleWhat we're looking forYou've scaled teams to 30+ successfullyYou still code building using AI tools like Cursor, Claude Code, Codex, Lovable, v0You have technical depth with AI-native fluencyYou're comfortable with customers—join enterprise calls, understand their technical pain, earn trust at exec levelYou have high agency—take bets, shape direction proactivelyYou've led teams that shipped regularly at scaleYou've made technical decisions that shaped company directionYou've developed multiple leaders from ICsYou've maintained velocity during high growthYou've built with relevant technology: conversational AI, event-driven systems, LLM applications, CX platforms, e-commerce, API integrationsYou zoom from strategy to debugging fluidlyYou bring infectious energy, positive culture builder mindsetYou have startup DNA—comfortable with ambiguity, move fastThis isn't a "Head of Engineering who used to be technical" role. This is for the technical leader who shapes engineering culture, sets technical strategy, operates as peer to VP-level leaders, and still codes using AI tools today.Why Siena?Meaningful impact. Your work directly shapes our product and company.Globally distributed team working at the bleeding edge of CX and AI.Great salary plus the opportunity for equity or stock grants.Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.AI-fluency. Make AI your second nature. Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.Our valuesThe people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.Our approach to AIThe people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.Opportunity Deepgram is seeking a talented, support-focused Solutions Architect (Applied Engineer) to join our Applied Engineering (AppEng) team. In this role, you will directly engage with customers to solve complex technical challenges while simultaneously building scalable solutions that enhance our support infrastructure. You'll own complete customer engagements in a post-sales capacity, and occasionally assist with pre-sales and implementation projects as needed. Your strong engineering background will enable you to resolve sophisticated technical issues, create repeatable solutions, and develop automation that allows the broader AppEng team to focus on high-impact pre-sales activities. This position offers an excellent path to grow into broader implementation and pre-sales roles while making an immediate impact on our customer support experience. As a key member of the Applied Engineering team, you'll influence our customer support strategy, and play a crucial role in ensuring our customers receive exceptional technical assistance throughout their journey with Deepgram.LocationThis role is based in San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is anchored in our San Francisco office, Deepgram continues to be remote-first and we don't expect you to be in the office every day. We believe a mix of in-person and remote work allows us to share context and build productively. About Applied Engineering at Deepgram The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Experience (DX) teams to ensure a positive, growth-focused experience for our customers. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As a support-focused Applied Engineer, you'll be primarily concerned with elevating our technical support capabilities while having opportunities to contribute to the broader Applied Engineering mission in pre-sales, implementation, and more. What You'll DoOwn complete post-sales customer engagements, providing direct technical guidance and solutionsLead the technical resolution of complex customer support issues, serving as an escalation point for challenging technical problemsDesign and implement systematic improvements to our support process and infrastructureCreate automated solutions and self-service tools that address common customer challengesAnalyze support ticket patterns to identify product improvement opportunities and preventative measuresDevelop technical documentation, guides, and best practices that enable customers to self-solve issuesCollaborate with product and engineering teams to advocate for customer needs and influence roadmap prioritiesPartner with the broader Applied Engineering team to share knowledge and balance support workloadOccasionally assist with implementation projects and pre-sales activities as needed Time Allocation50% - Direct customer engagement and technical problem solving30% - Building automation and scalable support solutions10% - Developing documentation and self-service resources10% - Contributing to broader Applied Engineering initiatives and pre-sales activities You'll Love This Role If YouEnjoy direct customer interaction and solving complex technical challengesAre passionate about creating scalable solutions that enhance customer experiencesFind satisfaction in improving systems and processes to increase efficiencyHave a talent for identifying patterns and translating them into actionable improvementsAre energized by opportunities to apply engineering principles to customer-facing challengesSee technical support as a strategic function that drives customer satisfaction and retention It's Important To Us That You Have3+ years of experience in technical support, solutions engineering, or similar customer-facing technical rolesStrong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, Rust, C/C++, or similar languagesExperience developing automation solutions and improving technical processesProven ability to troubleshoot complex technical issues in production environmentsExcellent written and verbal communication skills with the ability to explain technical concepts clearly It Would Be Great if You HadExperience with speech recognition, NLP, or related AI technologiesKnowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)Experience with API-first products and developer toolsBackground in support automation techniques and toolsBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.OpportunityDeepgram is seeking a Senior Pre-Sales Solutions Engineer to join our Applied Engineering team. While you'll have the opportunity to contribute across the team's various responsibilities (including pre-sales, implementation, and customer support), your primary focus will be driving technical pre-sales engagements with our prospects, customers, and partners. In this role, you will be the technical authority who bridges the gap between our state-of-the-art AI speech technology and customer business needs. You'll collaborate closely with our sales team to craft compelling technical solutions, provide technical validation, build proof-of-concepts, and demonstrate the value of our platform to technical decision makers. Your deep engineering expertise combined with consultative sales skills will be crucial in navigating complex sales cycles and establishing Deepgram as the preferred Voice AI partner. As a senior member of the Applied Engineering team, you'll influence the team’s vision, product strategy based on market insights, and contribute to the evolution of our pre-sales methodology.LocationThis role is based in San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is anchored in our San Francisco office, Deepgram continues to be remote-first and we don't expect you to be in the office every day. We believe a mix of in-person and remote work allows us to share context and build productively.About Applied Engineering at Deepgram The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey. We work closely with our Customer Success and Developer Experience (DX) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As a Senior Applied Engineer, you'll be primarily focused on the pre-sales aspects of this journey while having opportunities to contribute to the full customer lifecycle.What You’ll DoLead technical discovery and solution design for enterprise prospects and customersArchitect and implement custom proof-of-concepts and technical demonstrations that address specific customer use cases Provide expert guidance on API integration, performance optimization, and deployment strategies Partner with Account Executives to navigate technical objections and accelerate the sales cycle Contribute to technical content creation including implementation guides, reference architectures, and best practices Mentor junior team members and share technical knowledge across the organizationRepresent the voice of the customer to product and engineering teamsYour First 90 Days First 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Shadow senior team members on customer calls and begin building technical demos. Gain proficiency with our core APIs and documentation. 60 Days: Lead technical discovery calls with account executives, and develop custom proof-of-concepts for prospects. Begin contributing to technical content. Participate in sales strategy sessions and provide technical insights to deals in progress. 90 Days: Own the technical relationship with assigned accounts. Develop and present complex solutions addressing specific customer challenges. Begin mentoring newer team members and contributing to the pre-sales methodology.You’ll Love This Role If YouAre passionate about translating complex technical capabilities into business valueThrive in consultative customer environments where you can showcase your technical expertise Enjoy the strategic aspects of enterprise sales cycles while maintaining technical credibility Find satisfaction in seeing your technical solutions drive customer adoption and success Are energized by staying at the forefront of AI and speech technologyIt’s Important To Us That You Have5+ years of experience in technical pre-sales, solutions architecture, or similar customer-facing technical roles Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, or similar languages Proven track record of successfully navigating complex technical sales cyclesExperience building and demonstrating proof-of-concepts or technical solutions to diverse audiences Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders It Would Be Great if You Had Experience with speech recognition, NLP, AI/Voice agents, or related AI technologiesExperience building customer-facing demos and sample codeKnowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)Experience with API-first products and developer tools Background in sales methodologies such as Triangle, MEDDIC, or Solution SellingBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleWe are looking for a Computer Vision Engineer to contribute to the development of the front-end of our visual inertial odometry (VIO) algorithmic stack.ResponsibilitiesVIO Front-end Algorithm development:Matching between frames and stereo pairsCalibration of cameras intrinsic and extrinsic parametersDetection of obstructionImplementation and optimization of the algorithmic stack for our embedded platformsTesting, Validation & Monitoring: algorithms testing in simulation and real-world environments, development of inspection and monitoring tools..Cross-Team Collaboration: Work closely with system engineers, optical engineers, software engineers. Communicate findings effectively to stakeholders.Candidate RequirementsEducational Background: Master’s degree in Robotics, Physics, Computer Science or related field, PhD is a plusTechnical Expertise: Strong mathematical foundations, coding skills in both Python and C++Hands-on VIO project experience. Experience with VIO on industrial products is a huge plus.Passion for Computer Vision and RoboticsStrong Communication & Teamwork: Ability to collaborate effectively with diverse teamsCommitment: 100% dedication to Harmattan’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role We’re looking for a Software Engineer to help build and scale the data systems that power our machine learning products. This role sits at the intersection of data engineering and ML infrastructure: you’ll design large-scale streaming pipelines, build tools that abstract infrastructure complexity for feature developers, and ensure that our feature data is reliable, discoverable, and performant across online and offline environments. If you’re passionate about building foundational systems that enable machine learning at scale — and love solving complex distributed data problems — this is the role for you.What You’ll DoDesign and scale feature pipelines: Build distributed data processing systems for feature extraction, orchestration, and serving — including real-time streaming, batch ingestion, and CDC workflows.Feature Extraction: Design and implement reliable, reusable feature pipelines for ML models, ensuring features are accurate, scalable, and production-ready through well-designed SDKs and orchestration tools.Build and evolve storage infrastructure: Manage multi-tier data systems (e.g. Bigtable for online features/state, BigQuery for analytics and offline training), including schema evolution, versioning, and compatibility.Own orchestration and reliability: Lead workflow orchestration design (e.g. Pub/Sub, Busboy, Airflow/Temporal), monitoring, and alerting to ensure reliability at 100M+ video scale.Collaborate with ML teams: Partner with ML engineers on feature availability, dataset curation, and streaming pipelines for training and inference.Optimize for performance and cost: Tune GPU utilization, resource allocation, and data processing efficiency to maximize system throughput and minimize cost.Enable analytics and insights: Support downstream analytics and data science workflows by ensuring data accessibility, discoverability, and performance at scale.Preferred Qualifications4+ years building distributed data systems, feature platforms, or ML infrastructure at scale.Strong experience with streaming and batch pipelines (e.g. Pub/Sub, Kafka, Dataflow, Beam, Flink, Spark).Deep knowledge of cloud-native data stores (e.g. Bigtable, BigQuery, DynamoDB, Snowflake) and schema/versioning best practices. Proficiency in Python and experience building developer-facing libraries or SDKs.Experience with Kubernetes, containerized data infrastructure, and workflow orchestration tools (e.g. Airflow, Temporal).Familiarity with ML workflows and feature store design — enough to partner closely with ML teams.Bonus: Experience working with video, audio, or other unstructured media data in a production environment.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleWe are looking for a skilled and forward-thinking Automation Engineer to design, implement, and optimize automation systems at our production site, the model for our future global manufacturing sites. You’ll lead automation projects that enable cost-effective, high-volume, and defense-grade production through robotics, digital integration, and lean processes.ResponsibilitiesAutomation SystemsDesign and deploy automated solutions across key manufacturing and test processes.Translate manual tasks into robust automated stations (robotics, sensors, actuators, software).Own equipment specifications, commissioning, and validation with suppliers and integrators.Performance & ReliabilityMaximize OEE through improved uptime, performance, and first-pass yield.Analyze real-time data and fault logs to drive continuous improvement.Support maintenance and production teams in troubleshooting and system optimization.Digital IntegrationConnect automation platforms to ERP/MES for live traceability and performance data.Build OEE dashboards and enable predictive maintenance through data and IoT tools.Contribute to digital twin and simulation projects for capacity and layout planning.Innovation & StandardizationEvaluate and prototype new automation and robotics technologies.Standardize automation architectures and documentation for replication in future factories.Train technical staff and provide user-friendly system documentation.Candidate RequirementsDegree in Automation Engineering, Mechatronics, Robotics, or equivalent.5+ years experience in manufacturing automation (design, commissioning, optimization).Strong command of robotics, PLCs, sensors, motion systems, and automation safety standards (CE).Interest in Industry 4.0, collaborative robotics, and machine learning applications.Proven experience deploying reliable, high-availability systems.Communication & Influence: Excellent written and verbal communication in French and English, capable of leading diverse principals – from junior members to senior executives.Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.