Find AI Work That Works for You

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.Replit is experiencing extraordinary demand and seeking a Mid-Market Account Executive with strong communication skills to drive our hyper-growth. Candidates with Mid-Market SaaS experience, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal.This full-cycle sales position encompasses both new client acquisition and existing customer support and retention, spanning all segments and geographies.We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for driving sales and AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language.In this role you will…Evangelize a future where anyone can create software in natural language, ushering in a change in the nature of the firm on par with the PC eraServe as the primary point of contact for prospects and customers, guiding them through the buying journeyConduct compelling product demonstrations and help realize the art of the possible by orchestrating non-engineering hackathonsArticulate Replit's value proposition and align it with customers' business objectivesCollaborate with product and engineering teams to ensure technical accuracy and successful deliveryPrepare tailored quotes and skillfully negotiate dealsMaintain accurate customer and forecasting data in Replit’s CRM (Hubspot)Foster strong relationships with existing clients while identifying opportunities for expanded adoptionOptimize customers' use of the Replit platform through ongoing collaboration and supportGather and communicate valuable customer feedback, championing their interests within Replit Required skills and experience:Experience in AE or SE/technical sales role, preferably in SaaS or developer toolsExcellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiencesProven track record of meeting or exceeding sales quotasExperience with, or direct observations of full-cycle sales, from prospecting to closing deals to managing existing customersProficiency in using CRM systems and sales tools (e.g., Hubspot)Ability to quickly learn and articulate the value of new technologiesStrong problem-solving skills and the ability to think on your feetSelf-motivated with excellent time management and organizational skillsPassion for technology and staying current with industry trendsExperience with or strong interest in AI and machine learning is a plusWillingness to travel up to 25% of the time for client meetings and eventsNice to have:You're an active Replit userYou've worked at an early-stage startup or in developer toolsDegree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)Tools + Tech Stack for this roleReplitHubspot CRMZoomInfoClaySmartLeadLinkedIn Sales NavigatorHashboard, HexThis role may not be a fit ifYou’re not based in the Bay area and/or willing to relocateYou lack an understanding of the software development lifecycle; have little to no coding knowledgeYou’re not passionate about AIYou don’t enjoy being in client facing roles where 80% of your day is talking to others Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About Us Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.    Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In 2024, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.  About The Role  We are seeking a highly skilled Deployment Engineer to build and operate our cutting-edge inference clusters. These clusters would provide the candidate an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power.   You will play a critical role in ensuring reliable, efficient, and scalable deployment of AI inference workloads across our global infrastructure. On the operational side, you’ll own the rollout of the new software versions and AI replica updates, along the capacity reallocations across our custom-built, high-capacity datacenters.    Beyond operations, you’ll drive improvements to our telemetry, observability and the fully automated pipeline. This role involves working with advanced allocation strategies to maximize utilization of large-scale computer fleets.   The ideal candidate combines hands-on operation rigor with strong systems engineering skills and thrives on building resilient pipelines that keep pace with cutting-edge AI models.  This role does not require 24/7 hour on-call rotations.     Responsibilities  Deploy AI inference replicas and cluster software across multiple datacenters  Operate across heterogeneous datacenter environments undergoing rapid 10x growth  Maximize capacity allocation and optimize replica placement using constraint-solver algorithms  Operate bare-metal inference infrastructure while supporting transition to K8S-based platform  Develop and extend telemetry, observability and alerting solutions to ensure deployment reliability at scale  Develop and extend a fully automated deployment pipeline to support fast software updates and capacity reallocation at scale  Translate technical and customer needs into actionable requirements for the Dev Infra, Cluster, Platform and Core teams  Stay up to date with the latest advancements in AI compute infrastructure and related technologies.   Skills And Requirements  2-5 years of experience in operating on-prem compute infrastructure (ideally in Machine Learning or High-Performance Compute) or id developing and managing complex AWS plane infrastructure for hybrid deployments  Strong proficiency in Python for automation, orchestration, and deployment tooling  Solid understanding of Linux-based systems and command-line tools  Extensive knowledge of Docker containers and container orchestration platforms like K8S  Familiarity with spine-leaf (Clos) networking architecture  Proficiency with telemetry and observability stacks such as Prometheus, InfluxDB and Grafana  Strong ownership mindset and accountability for complex deployments  Ability to work effectively in a fast-paced environment.   Location   SF Bay Area.  Toronto  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. We focus on developing open-source tools and models that push the boundaries of AI while remaining efficient and user-friendly.About the RoleTo fulfill our mission of building the GitHub of Machine Learning, our team is now looking for a Node.Js Backend Engineer, with experience working in a fast-paced environment. In this unique role, you will directly impact the evolutions of our Machine Learning Hub, which is rapidly becoming a go-to destination for companies and individuals to host and run their ML models.You'll work with a supportive team of talented engineers while enjoying a lot of autonomy to test your implementations. This is a great opportunity to be an early contributor to the biggest platform shift of the decade. About YouYou'll enjoy working here if your favorite tech stack is Typescript, Node.js, and MongoDB, and you love to stay up to date with the latest technologies. You have a good understanding of low-level systems programming, potentially acquired through the practice of a programming language such as C, Go, or Rust. You have experience working collaboratively across the stack on Online payment systems. More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

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About the TeamWith Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. The Codex Enterprise sub-team’s mission is to bring the world’s most powerful software engineer to the world’s largest companies safely, securely, and at scale.About the RoleThis role is for a software engineer working on Codex, with a specific focus on making it work well for our largest customers. You’ll work directly with customers, Go To Market (GTM) teams, and other engineers and researchers across Codex and OpenAI. You will turn diverse enterprise requirements into products that scale across organizations. The role bridges what enterprises need and what the broader Codex team builds, ensuring that enterprise capabilities are robust, repeatable, and deeply aligned with how developers work in real-world environments. You’ll own systems end-to-end (architecture, implementation, production operations) with a strong bias for both quality and velocity.In this role, you will:Ship enterprise-grade capabilities for Codex, including analytics and usage reporting, audit and compliance logging, sandbox and permissioning, admin roles and policy controls, regional execution and data residency, and on-prem orchestration.Design and build robust, full-stack services and APIs that power Codex across all surfaces including web, CLI, IDEs, Slack, and CI/CD, with strong observability and SLOs.Integrate with enterprise identity and governance systems (e.g., SSO/SAML/OIDC, SCIM, RBAC, policy enforcement), and build data-access patterns that are secure, performant, and compliant for large customers.Work closely with GTM teams and directly with enterprises to understand real-world developer workflows.Collaborate cross-functionally with product, research, design, and customer teams to deliver quickly while maintaining a high bar for quality and user experience.You might thrive in this role if you:Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience.Are proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability, observability, and security.Have built developer tools (CLI/IDE/SDK) or agent/sandboxed execution environments, especially in, or for, large enterprises. Experience delivering software on-prem would be a bonus..Have hands-on experience with enterprise and large-platform foundations such as identity (SAML/OIDC), SCIM, RBAC, audit logging, and data retention controls.Have experience working directly with customers as a customer engineer, solutions engineer or forward-deployed engineer.Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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📐 About this role As a Customer architect, your objective will be to partner with your customers to support them in uncovering, and then creating solutions to serve their business needs, including creating custom templates and working through our APIs. Success will mean a meaningful increase in the number of customers actively leveraging these solutions in high-impact ways. You will work alongside your account partners, including a CSM and Implementation manager, as the technical resource on account to support the adoption and realization of value for our largest customers. Your positivity, sense of curiosity, and ability to create champions from early adopters in the AI writing space will help shape our entire culture. If you have a builder mentality, this is the role for you.🦸🏻‍♀️ Your responsibilitiesSupport the Customer success and Account management team, and work with an assigned group of customers to scope use-cases that need to be supported by a customized solution, validate the technical feasibility, and then own the implementation. Scope the customer’s business and technical needs, including quantifying the existing problems, understanding their tools, workflows, data structure, and integration points to deliver incredible contentOwn the creation of custom templates, deployment of our Knowledge Graph capabilities and act as the technical resource for customers to leverage our APIs Communicate limitations and propose solutions, including their scope, resource needs, and projected timelinesDevelop and maintain a deep understanding of the WRITER solutions, the broader AI and LLM landscape, as well as our customer’s ecosystem so you can offer prescriptive solution recommendationsWork closely with Engineering to QA the outputs from the implementation, calibrate, and iterate until we have an optimal output Develop new processes, systems and workflows to reduce time to value for our customersEnsure we have collateral, documentation and processes to support our customers in their technical integration needs Communicate the voice of the customer back to our Product and Engineering teams so we can make, relevant enhancements to our product⭐️ Is this you?5+ years of technical roles in SaaS including 3+ years of experience in solutions architect or technical account management role Experience managing a customer book of businessHave worked with Fortune 500 customers for a high growth, B2B SaaS companyExperience with generative AI and prompt engineering is a huge plusExperience working with APIsNice-to-have: Python chopsAn excellent communicator and collaborator, able to take complex technical concepts and translate to practical business language for non-technical audiencesHighly versatile, can lead a discovery session with multiple stakeholders up to a CIO level, uncovering use cases and business pain, while also being able to have the technical acumen to address complex technical hurdlesBusiness outcome oriented: a laser focus on delivering solutions that create meaningful business resultsTenured problem solver, able to identify the root cause of issues and work collaboratively to resolve An excellent collaborator, with experience working alongside account teams to drive towards custom results in a coordinated and unified manner. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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About the RoleWe’re looking for a Senior Privacy Engineer to lead initiatives that ensure our products and infrastructure meet the highest standards of data protection and user privacy. You’ll work closely with cross-functional teams—including security, legal, product, infrastructure, and research—to design and implement privacy-enhancing technologies and compliance mechanisms at scale.This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation.This role is based in Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Architect and implement privacy-preserving systems across our data stack, including data collection, storage, processing, and access layers.Develop and apply privacy engineering frameworks (e.g., data minimization, differential privacy, anonymization/pseudonymization techniques) to production services.Build and scale privacy controls such as role-based access, audit logging, redaction/tokenization systems, data retention policies, and privacy incident detection.Partner with infrastructure and product teams to integrate privacy requirements into system designs from the ground up.Collaborate with legal, security, and compliance teams to translate regulatory obligations (e.g., GDPR, CCPA, HIPAA) into concrete technical controls and workflows.Conduct privacy risk assessments and help teams mitigate identified risks through design changes, automation, or monitoring.Mentor and support other engineers, elevating privacy as a core engineering discipline across the organization.Drive cross-org initiatives, such as privacy reviews, developer education, or privacy tooling roadmaps.You might thrive in this role if you:5+ years of industry experience in software engineering, security engineering, or privacy engineering, with significant ownership of privacy or data protection features.Strong software engineering fundamentals, with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java).Deep understanding of privacy technologies and principles, such as data anonymization, encryption, secure computation, privacy threat modeling, or differential privacy.Experience building scalable infrastructure and implementing controls in distributed systems, data platforms, or ML pipelines.Familiarity with global privacy regulations and their technical implications.Ability to influence and collaborate with teams across legal, compliance, product, and engineering.A bias toward practical, impactful solutions that balance privacy protections with product needs.Nice to HaveExperience with cloud platforms (e.g., Azure, AWS, GCP) and large-scale data systems.Background in security engineering, trust & safety, or data governance.Contributions to privacy open-source projects or research.Prior experience in a regulated or highly sensitive data environment.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamWith Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. The Codex Enterprise sub-team’s mission is to bring the world’s most powerful software engineer to the world’s largest companies safely, securely, and at scale.About the RoleThis role is for a software engineer working on Codex, with a specific focus on making it work well for our largest customers. You’ll work directly with customers, Go To Market (GTM) teams, and other engineers and researchers across Codex and OpenAI. You will turn diverse enterprise requirements into products that scale across organizations. The role bridges what enterprises need and what the broader Codex team builds, ensuring that enterprise capabilities are robust, repeatable, and deeply aligned with how developers work in real-world environments. You’ll own systems end-to-end (architecture, implementation, production operations) with a strong bias for both quality and velocity.In this role, you will:Ship enterprise-grade capabilities for Codex, including analytics and usage reporting, audit and compliance logging, sandbox and permissioning, admin roles and policy controls, regional execution and data residency, and on-prem orchestration.Design and build robust, full-stack services and APIs that power Codex across all surfaces including web, CLI, IDEs, Slack, and CI/CD, with strong observability and SLOs.Integrate with enterprise identity and governance systems (e.g., SSO/SAML/OIDC, SCIM, RBAC, policy enforcement), and build data-access patterns that are secure, performant, and compliant for large customers.Work closely with GTM teams and directly with enterprises to understand real-world developer workflows.Collaborate cross-functionally with product, research, design, and customer teams to deliver quickly while maintaining a high bar for quality and user experience.You might thrive in this role if you:Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience.Are proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability, observability, and security.Have built developer tools (CLI/IDE/SDK) or agent/sandboxed execution environments, especially in, or for, large enterprises. Experience delivering software on-prem would be a bonus..Have hands-on experience with enterprise and large-platform foundations such as identity (SAML/OIDC), SCIM, RBAC, audit logging, and data retention controls.Have experience working directly with customers as a customer engineer, solutions engineer or forward-deployed engineer.Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role Join Cerebras’ new Global Support organization to help customers run production-grade AI inference. You’ll troubleshoot issues across model serving, deployment, and observability; resolve customer tickets; and partner with Engineering to improve the reliability, performance, and usability of our inference platform.  Responsibilities Own inbound tickets for inference issues (availability, latency/throughput, correctness, model loading, etc.).  Triage, reproduce, and debug across the stack: APIs/SDKs, model serving layers (e.g., vLLM), networking, etc.  Analyze logs/metrics/traces (e.g., Prometheus/Grafana/ELK) to drive fast resolution and clear RCAs.  Create and maintain high-quality runbooks, knowledge base articles, and “getting unstuck” guides.  Collaborate with Product/Eng to escalate defects, validate fixes, and influence roadmap via aggregated support insights.  Participate in follow-the-sun on-call rotations for P1/P2 incidents with defined SLAs.  Proactively identify pain points in both our solutions and those of our customers.  Advocate for customer needs internally, helping prioritize fixes, features, and reliability improvements.  Skills & Qualifications 4–6 years in technical support, SRE, or solutions engineering for distributed systems or ML/AI products.  Strong Linux fundamentals; confident with shell, systemd, containers (Docker), basic networking (TLS, DNS, HTTP/2, gRPC), and debugging with logs/metrics.  Proficiency in at least one scripting language (Python preferred) for repros, tooling, and log parsing.  Familiarity with modern LLM inference concepts: token streaming, batching, KV cache, etc.  Excellent customer communication: drive clarity from ambiguous reports, write crisp updates, and set accurate expectations.  Assets Exposure to one or more serving stacks (e.g. vLLM) and OpenAI-compatible APIs.  Observability practice (Prometheus, Grafana, Elk) and basic performance testing.  Ticketing/ITSM (e.g., Jira/ServiceNow/Zendesk), incident response, and SLA/SLO workflows.  Experience with GPUs/accelerators and performance tuning (throughput vs. latency trade-offs, batching/concurrency tuning).  Demonstrate humility, collaboration, and a commitment to continuous learning to support team and customer success.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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The AI orchestration of your wildest imagination.n8n is the open AI workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.Head of DataWe’re looking for n8n’s first Head of Data, a strategic builder who’s excited to design our data strategy, stack, and culture from the ground up. You’ll turn data into one of n8n’s biggest growth levers, helping every team make faster, smarter, and more confident decisions as we scale.🎯 Your main goal will be to build and lead n8n’s first dedicated data function, defining the strategy, stack, and culture that turn data into a core driver of growth and decision-making across the company.To do so, you’ll establish the foundations of our data organization, build scalable infrastructure, and empower every team to make faster, smarter, and more informed decisions.STRATEGY & VISIONDefine and articulate the company-wide data strategy, ensuring alignment with business priorities and anticipating future needs, especially in AI.Build a long-term roadmap for the data organization, from initial foundations to advanced analytics, data science, and AI use cases.Explore and adopt new technologies and methodologies that keep n8n at the forefront of data innovation.DATA INFRASTRUCTURE & ANALYTICSBuild and scale a reliable, secure, and modern data infrastructure that supports both BI and self-service analytics.Design and implement core data models, metrics, and dashboards to power decision-making across Product, Revenue, and Operations.Capture and transform raw data into clear, actionable insights that guide strategic choices and uncover growth opportunities.Ensure strong governance, data quality, and compliance with privacy and security standards.LEADERSHIP & COLLABORATIONLead, mentor, and grow a small team of Analysts/Analytics Engineers, with future expansion into Data Engineering and Data Science.Foster a culture of curiosity, learning, and experimentation within the data function and across the company.Partner closely with Product, Engineering, Sales, Marketing, Finance, and Leadership to embed data into every decision.REQUIREMENTSMust-haves💼 Data leadership experience: 8+ years in data, including building and leading data teams (both analysts and engineers) from the ground up.📊 Technical excellence: Proven experience designing and scaling modern data architectures (BigQuery, Snowflake, dbt, etc.), with strong modeling and performance optimization skills.🧠 Analytical mastery: Deep expertise working with large-scale user-level data (ideally in B2C/ B2B SaaS and PLG context) and strong understanding of marketing analytics and growth loops.🗣 Communication & influence: You can translate complex analytical concepts into clear business insights and influence cross-functional stakeholders.🚀 Strategic operator mindset: A player-coach who thrives on both building vision and executing hands-on in fast-paced environments.💡 Continuous learner: Up to date on the latest technological trends and experienced (or eager) in applying AI within data teams.🧰 Tools: Proficient in n8n’s data stack, including BigQuery, dbt, and BI tools such as Looker or Metabase.Nice-to-haves🤖 AI/ML experience: Exposure to building or leveraging AI/ML models in a data context.🛡 Data governance expertise: Familiarity with privacy, compliance, and regulatory frameworks.Why join us?At n8n, your work won’t disappear into a slide deck. You'll have the rare opportunity to build our data foundations from the ground up, shape how we make decisions, and directly influence how one of Europe’s fastest-growing SaaS companies scales.You’ll join a remote-first, high-performing team that values autonomy, experimentation, and continuous learning. You’ll have access to rich datasets, strong technical peers, and high internal demand for data-driven insights — all in an environment that’s curious, ambitious, and collaborative.Sound like a challenge you’re excited to take on?Apply now and help us build the future of automation.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. We focus on developing open-source tools and models that push the boundaries of AI while remaining efficient and user-friendly.About the RoleTo fulfill our mission of building the GitHub of Machine Learning, our team is now looking for a Node.Js Backend Engineer, with experience working in a fast-paced environment. In this unique role, you will directly impact the evolutions of our Machine Learning Hub, which is rapidly becoming a go-to destination for companies and individuals to host and run their ML models.You'll work with a supportive team of talented engineers while enjoying a lot of autonomy to test your implementations. This is a great opportunity to be an early contributor to the biggest platform shift of the decade. About YouYou'll enjoy working here if your favorite tech stack is Typescript, Node.js, and MongoDB, and you love to stay up to date with the latest technologies. You have a good understanding of low-level systems programming, potentially acquired through the practice of a programming language such as C, Go, or Rust. You have experience working collaboratively across the stack on Online payment systems. More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

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About the TeamJoin the engineering teams that bring OpenAI’s ideas safely to the world!The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.About the RoleWe’re seeking Software Engineers who can solve complex, high-impact problems across our stack. In this role, you’ll join a nimble team driving the deployment of OpenAI’s technology into new environments and infrastructure that power critical missions in the public sector.You’ll work cross-functionally with product, security, and compliance teams to build the functionality needed to deliver a scalable, reliable platform. You’ll also partner directly with customers to design and build new products and features that create real-world impact.From launching net-new capabilities to optimizing how we serve inference in unique, high-stakes environments, this role offers both breadth and technical depth—giving you the opportunity to shape the future of OpenAI’s technology where it matters most.This role is based in Washington D.C. and San Francisco, CA. Occasional travel to customer sites is required for this role.In this role, you will:Own the development of new customer-facing ChatGPT and OpenAI API features end-to-end, both on-premises and in the cloud, for our public sector customers.Partner and directly embed with teams across the business, including engineering, security, and compliance, to enable our products to work within the unique constraints of new environments.Talk to users to understand their problems and design solutions to address themWork with the research team to get relevant feedback and iterate on their latest models, developing solutions specific for public sector customers at both the model & data layers.Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge productsOptimize applications for speed and scaleYou might thrive in this role if you:US Citizen5+ years of relevant engineering experience at tech and product-driven companiesProficiency with JavaScript, React, and other web technologiesProficiency with some backend language (we use Python)Some experience with underlying infrastructure primitives like Kubernetes and TerraformInterest in AI/ML (direct experience not required)Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlinesAn interest in enabling public sector use cases with unique requirementsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the roleThis is an exciting opportunity to join Faculty as the most senior data scientist in the Retail and Consumer business unit.Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.What you'll be doingProject Leadership:Guide the technical delivery of custom data science solutions for clients, from initial discovery to deployment in productionOwn the end-to-end data science approach, designing and implementing the appropriate techniques - from classic to AI agents using LLMs - that are designed, optimised and applied at scaleDesign robust and scalable software architecture for the solutions you build, ensuring best practices in engineering and MLOps are followed.Partner with our commercial team and clients to build strong relationships, acting as a trusted technical advisor.Articulate intricate technical concepts and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives.Team Mentorship:Formally manage and mentor a number of data scientists, taking responsibility for their career progression and professional growth.Provide targeted technical support and learning opportunities for data scientists on your project teams.Contribute to sustaining our culture, creating an atmosphere of collaboration and setting a high standard for performance and technical excellence.Technical LeadershipEstablish a distinct and differentiated data science vision for professional and financial services, and communicate that vision through external thought leadership and in potential client presentations.Partner with our commercial team to ensure potential projects and programmes of work are appropriately resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.Keep abreast of the latest technical and technology advancements, share these with others in the organisation, and identify how they can help drive Faculty forward.Who we're looking forYou have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques, for example: supervised/unsupervised machine learning, model cross-validation, Bayesian inference, and time-series analysisAn excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch)Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in consulting would be a bonus.You possess proven experience leading data science projects and making key decisions on technical direction and architecture.You are an exceptional communicator, capable of building rapport with clients and translating complex ideas into clear, actionable insights.You have a strategic mindset, with a grasp on key financial services sector trends that informs a compelling technical vision.You are passionate about developing people and have experience mentoring or managing other technical professionals.You are motivated to contribute to the wider data science community. We will actively support you in building your professional profile by speaking at major conferences, delivering courses, or contributing to open-source projects.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role Join Cerebras’ new Global Support organization to help customers run production-grade AI inference. You’ll troubleshoot issues across model serving, deployment, and observability; resolve customer tickets; and partner with Engineering to improve the reliability, performance, and usability of our inference platform.  Responsibilities Own inbound tickets for inference issues (availability, latency/throughput, correctness, model loading, etc.).  Triage, reproduce, and debug across the stack: APIs/SDKs, model serving layers (e.g., vLLM), networking, etc.  Analyze logs/metrics/traces (e.g., Prometheus/Grafana/ELK) to drive fast resolution and clear RCAs.  Create and maintain high-quality runbooks, knowledge base articles, and “getting unstuck” guides.  Collaborate with Product/Eng to escalate defects, validate fixes, and influence roadmap via aggregated support insights.  Participate in follow-the-sun on-call rotations for P1/P2 incidents with defined SLAs.  Proactively identify pain points in both our solutions and those of our customers.  Advocate for customer needs internally, helping prioritize fixes, features, and reliability improvements.  Skills & Qualifications 4–6 years in technical support, SRE, or solutions engineering for distributed systems or ML/AI products.  Strong Linux fundamentals; confident with shell, systemd, containers (Docker), basic networking (TLS, DNS, HTTP/2, gRPC), and debugging with logs/metrics.  Proficiency in at least one scripting language (Python preferred) for repros, tooling, and log parsing.  Familiarity with modern LLM inference concepts: token streaming, batching, KV cache, etc.  Excellent customer communication: drive clarity from ambiguous reports, write crisp updates, and set accurate expectations.  Assets Exposure to one or more serving stacks (e.g. vLLM) and OpenAI-compatible APIs.  Observability practice (Prometheus, Grafana, Elk) and basic performance testing.  Ticketing/ITSM (e.g., Jira/ServiceNow/Zendesk), incident response, and SLA/SLO workflows.  Experience with GPUs/accelerators and performance tuning (throughput vs. latency trade-offs, batching/concurrency tuning).  Demonstrate humility, collaboration, and a commitment to continuous learning to support team and customer success.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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At Black Forest Labs, we’re on a mission to advance the state of the art in generative deep learning for media, building powerful, creative, and open models that push what’s possible.  Born from foundational research, we continuously create advanced infrastructure to transform ideas into images and videos.Our team pioneered Latent Diffusion, Stable Diffusion, and FLUX.1 – milestones in the evolution of generative AI. Today, these foundations power millions of creations worldwide, from individual artists to enterprise applications. We are looking for a 3D Researcher to bring precise camera control to our image and video generation models. Role and Responsibilities Training large-scale Diffusion (transformer) models for camera-controllable image and video generation Developing conditioning mechanisms for 3D camera parameters (poses, trajectories, intrinsics) in diffusion models Rigorously ablating design choices for 3D control and communicating results & decisions with the broader team Reasoning about the speed and quality trade-offs of 3D-aware architectures What we look for Experience training large-scale Diffusion models for image and video data Strong understanding of 3D projective geometry, camera models, and coordinate systems Experience with 3D-aware generative models or neural rendering techniques (NeRFs, 3DGS, etc.) Integrating geometric priors and 3D conditioning into neural networks Strong proficiency in PyTorch, transformer models and other NN architectures Deep understanding of training techniques such as FSDP, low precision training, and model parallelism Nice to have: Experience with multi-view consistency in generative models Understanding of camera calibration, structure-from-motion, or SLAM  

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Location: San Francisco (100% In-Office) Experience: 5+ years Salary: $200K - $350k • Offers EquityAt Giga, we’re revolutionizing enterprise by deploying AI agents that resolve over 1 million customer tickets monthly via voice and chat. Industry leaders like DoorDash trust our AI to navigate complex, real-world conversations with clarity, accuracy, and scalability.Engineers at Giga work on problems like:building agents with almost no hallucination ratesa voice experience that's better than talking to humanscreating self-learning agents that optimize metrics Who You Are / Must-Haves:Exceptional EngineerBackend: Strong experience in Python (Django experience is a plus)Cloud: Proficient with AWS or Google CloudScalability: Familiarity with Kubernetes and Docker is a plusEntrepreneurial: Preference for candidates with experience at successful startups. Former founders are especially valuedSeasoned: 5+ years of hands-on engineering experience with roles in leadership Perks & BenefitsCompetitive total compensationEquinox membershipFull health, dental, and vision coverageOn-demand snacks, coffee, and DoorDash CreditsUbers covered home Interview ProcessScreening call w/ recruiting lead (20 min)Intro call w/ Founding Engineer (15 min)Live coding round w/ Founding Engineer (1 hr)In-office interview (full day)

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ScaleSoftware Engineer - Robotics & Autonomous SystemsScale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.You Will:Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasetsBuild ML training and fine-tuning pipelines using Scale's robotics dataWork across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutionsDevelop tools and systems for robotics data collection, teleoperation, and model evaluationInteract directly with robotics and AV stakeholders to understand their technical needs and drive product developmentBuild real-time systems for robotic control, sensor fusion, and perception pipelinesDesign comprehensive monitoring and evaluation frameworks for robotics models and data qualityCollaborate with ML engineers and researchers to bring robotics research into productionDeliver features at high velocity while maintaining system reliability and performanceIdeally, You Have:3+ years of software engineering experience in robotics, autonomous vehicles, or related fieldsStrong programming skills in Python and TypeScript/Node.js for production systemsExperience with React and modern frontend development for 3D interfacesPractical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systemsUnderstanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)Experience with databases (MongoDB, PostgreSQL) and data processing at scaleTrack record of working with cross-functional teams including ML engineers, researchers, and customersStrong communication skills and ability to operate with high autonomyNice to Haves:Experience with C++Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronizationBackground in computer vision, SLAM, motion planning, or imitation learningFamiliarity with autonomous vehicle data, lidar technologies, or 3D data processingExperience with ML model deployment and serving frameworksKnowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfacesExperience with workflow orchestration systems (Temporal, Airflow)Published research or open-source contributions in robotics or autonomous systems

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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 RoleAs Systems Engineer, you will bridge the gap between complex subsystems and operational mission requirements. You will define and validate the architecture that integrates software, AI/ML, and operator workflows into a cohesive, resilient C2 system.Your mandate: ensure the entire platform functions reliably in the field, interoperable, testable, and ready for deployment.ResponsibilitiesArchitecture & IntegrationDefine end-to-end system architecture, interface control documents (ICDs), and data flows.Lead integration planning across backend, AI/ML, and UX components.Ensure interoperability with TAK, STANAG, and DoD standards.Conduct trade studies, risk assessments, and configuration control. Validation & TestingDevelop simulation and field-test plans validating performance and reliability.Support mission exercises and collect operator feedback to drive design evolution. Cross-Functional CollaborationWork closely with Product, AI/ML, and UX teams to translate operator needs into technical requirements.Participate in design and risk reviews, providing pragmatic engineering judgment.Candidate RequirementsEducational Background: B.S./M.S. in Systems Engineering, Aerospace, Computer Science, or related.Experience: 5–10 years in defense, aerospace, or robotics programs; proven integration of multiple subsystems into mission-critical platforms.Technical Skills: Requirements management, system modeling, risk analysis, and interface design.Mindset: Operator-first, detail-oriented, and comfortable balancing trade-offs under constraints.Clearance: Eligible for U.S. DoD security clearance (Secret level or above preferred).Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.Location and CommitmentsContract Type: Full-time / PermanentWork Schedule: Washington DC (on-site preferred)Compensation: $140K-$175K + equity + benefitsStart Date: November 2025We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for engineers to help us reach $XXM ARR in the next 9 months. As a founding engineer, you won’t just be writing code, you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.About the rolePush the frontier of how agents interact with the browser, improving speed, reliability, and coverage across real-world appsBuild and evolve how multiple agents collaborate to solve complex workflowsDesign and scale the systems that make Magical run seamlessly on desktop, unlocking enterprise-grade stability and performanceBuild rigorous verification systems that guarantee our agents are doing the right thing every timeAbout youHave 4+ years of software engineering experience, mostly in TypeScriptHave a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.Value taking ownership and responsibility for your projects and systems.Studied Computer Science (or related field), or dropped out to build stuffLocated in SF or willing to relocateWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa RicaTech stackFamiliarity with our tech stack is not requiredTypeScriptBackend: Node, AI SDK, Hono, Drizzle, Postgres (neon), and Railway

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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 RoleAs a System Engineer, you will own the architecture, system definition and implementation of one of our robotic systems — from concept to field deployment. You will work hand-in-hand with project managers and technical leads to translate mission needs into system-level designs, coordinate multidisciplinary engineering teams, and ensure overall system performance, robustness, and reliability.ResponsibilitiesSystem Architecture: Transform system requirements into architectures solutions.Technical Coordination: Lead cross-functional design across mechanical, electrical, software, GNC, and ML teams.Trade-Off & Design Analysis: Conduct feasibility studies, trade-off analyses, and system-level simulations to guide technical choices.Integration & Validation: Oversee system integration, prototyping, and validation, ensuring performance targets are achieved.System Reviews: Drive design and architecture reviews, maintaining consistency between requirements, design, and testing.Continuous Improvement: Implement processes to enhance requirements traceability, system documentation, and validation workflows.Candidate Requirements10+ years of experience in system engineering within robotics, aerospace, or defense sectors.MSc in Engineering (any field); PhD is a plus.Proven experience leading full system lifecycles (concept → prototype → validation).Strong background in system architecture, requirements engineering, and trade-off analysis.Broad engineering culture with understanding of mechanical, electrical, and embedded systems.Experience coordinating multi-disciplinary teams and managing technical interfaces.Rigorous, structured, and mission-driven mindset with strong analytical skills.Excellent communication and documentation abilities.Bonus: Experience with UAS or defense systems.Location and CommitmentsContract Type: Permanent contract Work Schedule: Full-timeAvailability: ASAPLocation: Paris or LausanneWe look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary As our Enterprise Sales Executive for the ANZ market, you will play a crucial role in driving Mistral AI's adoption among large enterprise customers across various industries. Based in Australia, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral AI as a leading AI solutions provider in the ANZ region. What You Will Do Lead Development (Strategic Outbound and Qualified Inbound):- Conduct strategic outreach and manage warm introductions to potential enterprise customers.- Convert inbound leads where there are opportunities for upselling or more bespoke agreements.Value Proposition Validation for Customers:- Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.- Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.Deal Management & Closing:- Develop and execute strategic sales plans to convert leads into valued customers.- Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams.- Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.Executive Engagement:- Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organisations. - Understand their specific challenges and position Mistral AI's solutions as integral to their strategic initiatives.Technical Aptitude:- Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients.- Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases.- Collaborate with our technical team to address any customer inquiries or concerns.Training and Enablement:- Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities. About You • 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. • Deep understanding of the ANZ market dynamics and enterprise landscape.• Experience of consultative selling of highly complex, technical products.• Bachelor's and/or Master's degree in Business, Computer Science, or a related field.• Significant work experience within the AI ecosystem or related data/infrastructure field.• Experience working at a successful, fast-growing startup, ideally in deep-tech.• Strong technical skills to navigate quickly evolving products and steer technical discussions.• Excellent English skills; additional languages are welcome.• Outstanding negotiation and communication skills to build relationships and close deals effectively. Join Mistral AI and be at the forefront of driving AI adoption in the public sector. Your strategic vision, technical aptitude, and relationship-building skills will be instrumental in establishing Mistral AI as a trusted partner for government agencies and public institutions. Benefits 💰 Competitive cash salary and equity🚑 Health Insurance🥎 Sport : $90 for gym membership allowance🥕 Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)🚴 Transportation : $120/month for public transport or Parking charges reimbursed