AI Software Engineer Jobs

true

Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You enjoy spearheading customer engagements and orchestrating our implementation of Liquid Foundation Models (LFMs) to bridge the gap between customer needs and technical implementationYou thrive at the intersection of deep technical expertise and strategic leadership; decoding customer challenges, architecting technical solutions, and leading our engineering team through flawless executionYou're comfortable making technical decisions with incomplete information, guiding teams through ambiguity, and being the definitive technical voice for our customersDesired Experience:You have deep experience leading technical ML implementations with enterprise customers, including requirements gathering, solution design, and delivery managementYou possess deep technical knowledge of foundation models with hands-on experience in customization, fine-tuning, and deployment strategiesYou excel at distilling ambiguous customer problems into clear technical specifications that can be executed by implementation teamsYou can effectively communicate complex technical concepts to both technical and non-technical stakeholders, serving as the primary technical liaison with customersYou have a proven track record of leading cross-functional teams to deliver complex ML solutions on time and to specificationWhat You'll Actually Do:Own end-to-end customer relationships from technical discovery through implementation and success validationTranslate customer use cases into detailed technical implementation plans for the Applied ML Engineering teamConduct technical discovery sessions with customers to deeply understand their requirements, constraints, and success criteriaBuild and maintain the technical roadmap for each customer engagement, identifying risks and dependencies earlyServe as the escalation point for complex technical challenges encountered during implementationsCollaborate with product and engineering teams to align customer needs with our product roadmapDevelop reusable implementation patterns and technical assets that accelerate future customer engagementsWhat You'll Gain:The opportunity to define how cutting-edge LFM technology transforms businesses across industriesLeadership experience building a high-performing technical implementation function from the ground upVisibility across the entire customer lifecycle, from initial engagement through successful deploymentThe satisfaction of seeing your technical vision translated into tangible customer outcomes that redefine what's possible with foundation modelsAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

false

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ’s Wireless Technology Team works cross-functionally with electrical engineering, software, product design, industrial design, program management, and operations to deliver successful products to market. As a Senior Antenna Engineer, you will drive the product from conception to production. This includes simulations, prototyping, measurements (in the field and in the lab, both active and passive), writing antenna specifications and test plans, reviewing compliance lab reports, and leading efforts to resolve antenna-related challenges that arise. What You Might Do Architect and design high-performance antennas throughout the full product development cycle. Drive EMI and RF desense mitigation through advanced simulations and testing to meet regulatory and performance requirements. Partner with manufacturing teams to ensure robust, high-quality antenna system implementation. Utilize industry-standard tools (XFDTD, HFSS, CST, etc.) for accurate simulation modeling; perform material characterization, prototype development, and anechoic chamber measurements (ETS). Generate clear, data-driven reports and presentations to communicate findings and design decisions. Innovate antenna solutions optimized for small form-factor devices. Collaborate closely with internal cross-functional teams and external JDM/CM partners to successfully launch wireless products to market. Essential Qualifications 5+ years of experience shipping high-volume consumer electronics products with multiple wireless communication technologies. Deep expertise in antenna design and electromagnetics, with proven experience delivering antennas for consumer electronics and wearable devices. Proficient in EM simulation tools (ANSYS HFSS, CST) and skilled in Matlab or equivalent platforms for data analysis and post-processing. Hands-on experience with RF lab equipment, including 3D anechoic chambers, VNAs, and spectrum analyzers for antenna and RF subsystem validation. Strong ability to balance cost, performance, and form factor trade-offs in antenna development for compact wearable designs. Solid understanding of carrier certification processes and regulatory compliance (FCC, CE, etc.) to ensure product readiness for global markets. Hands-on experience measuring system performance parameters such as sensitivity, EVM, S-parameters, emissions, stability, and output power. Ability to travel to factories to support builds. Preferred Skills Passionate about working in highly creative, fast-paced, and collaborative teams alongside industrial designers, software engineers, and UX designers. Experience with Python and ADS for RF simulation and test automation. Experience with schematic capture and circuit board layout design tools. Knowledge of PCB design and efficiency in using Cadence tools (CIS, Allegro). Ability to drive tasks independently and communicate issues/root-cause analysis clearly. Strong presentation skills with experience engaging senior leadership. Salary range: $140,000 - $225,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

false

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!At Snorkel AI, we’re solving one of the biggest bottlenecks in enterprise AI: high-quality labeled data. Our Data-as-a-Service (DaaS) offering combines the power of programmatic data labeling and human-in-the-loop workflows to deliver training datasets faster, with higher accuracy, and at a fraction of the manual cost. Unlike traditional data labeling vendors, which rely heavily on manual processes, Snorkel AI’s approach is automated, iterative, and built for customization at scale. Backed by years of Stanford research and trusted by leading Fortune 500 enterprises and government agencies, Snorkel helps teams ship ML products faster by transforming how training data is created. We’re looking for a strategic and consultative Enterprise Account Executive to drive growth of our DaaS offering among large and innovative enterprises. This role is ideal for someone who understands the limitations of manual labeling and is ready to offer customers something more scalable, customizable, and impactful. If you're excited about selling differentiated, next-generation solutions that redefine an entire category, we’d love to talk. Key Responsibilities: Own the end-to-end multi-stakeholder, consultative sales process for Snorkel AI’s Data-as-a-Service offering, targeting enterprise accounts with a focus on long-term customer success. Proactively prospect, identify, qualify and develop a sales pipeline with a focus on large fortune 1000 companies (new logos) while running an efficient sales process. Develop deep understanding of customer challenges in data labeling, ML model development, and AI/ML deployment. Translate those challenges into tailored DaaS solutions, working closely with our technical and delivery teams. Differentiate Snorkel’s value vs. traditional labeling platforms by emphasizing automation, iteration, and quality. Work closely with Solutions Engineers and Delivery teams to design and scope pilot and production engagements. Contribute market intelligence and customer feedback to Product and Marketing teams Maintain accurate forecasting and deal progression in Salesforce or equivalent CRM. Qualifications: 5+ years of enterprise sales experience in AI/ML, data services/ infrastructure, or technical services. Strong track record of overachievement and hitting sales targets, closing six- and seven-figure enterprise deals with technical and executive stakeholders. Experience selling in a competitive space where you had to position against entrenched incumbents or first-generation technologies. Technical background (CS, engineering, math, or statistics) or equivalent experience working closely with technical teams. Deep understanding of machine learning workflows, training data needs, and the enterprise AI stack. Comfort navigating both technical and business value conversations. Excellent storytelling and value-based selling skills. Ability to thrive in a fast-paced, collaborative, and rapidly changing environment. Highly intelligent. High EQ. Self-aware, Coachable. Resourceful. Humble. Experience working for an innovative high growth tech company (SaaS, IT infrastructure or similar preferred). Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of 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 law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

false

About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.About the RoleOn the APM team you’ll own each stage of the AI Agent building process. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You’ll become a key source of customer insight guiding our long-term product roadmap.APMs at Decagon own their own portfolio of agents from end-to-end and are trusted to make real impact. This role is for someone who dives deep into complex business problems, builds elegant solutions and then scales. them out to millions users.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Your background looks something like thisHave 4+ years of relevant experience (e.g., product manager, engagement manager, consultant, founder, etc.)Deep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$200K – $285K + Offers Equity

false

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 We are seeking an exceptional Detection and Response Engineer to serve on the front lines, where you will build systems to detect threats, investigate incidents, and lead coordinated response across teams. The right candidate brings hands-on experience creating reliable detections, automating repetitive tasks, and turning investigation findings into durable improvements to our security program, with an interest in exploring AI-driven automation. Responsibilities Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents. Investigate security events and participate in incident response, including on-call responsibilities. Automate investigation and response workflows to reduce time to detect and remediate incidents. Build and maintain detection and response capabilities as code, applying modern software engineering rigor. Explore and apply emerging approaches, potentially leveraging AI, to strengthen our security posture. Document investigation and response procedures as clear runbooks for triage, escalation, and containment. Skills And Qualifications 3–5 years of experience in detection engineering, incident response, or security engineering. Strong proficiency in Python and query languages such as SQL, with the ability to write clean, maintainable, and testable code. Practical knowledge of detection and response across cloud, identity, and endpoint environments. Familiarity with attacker behaviors and the ability to translate them into durable detection logic. Strong fundamentals in operating systems, networking, and log analysis. Excellent written communication skills, with the ability to create clear documentation. 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.

false

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    As a Product Manager on the Cerebras AI Cluster Management software team, you will lead the roadmap and execution of an AI centric cluster management solution with special emphasis on Security and Observability. The Cerebras AI cluster management software is a strategic software product initiative intended to deliver Cerebras’s high performance AI benefits to on-premises customers and sovereign/neo clouds. Cerebras cluster management is intended to simplify deployment and maintenance for platform operators, making it easier to manage complex AI infrastructure at scale.    In your role, you will define the strategy, roadmap, direction and requirements for Crebras’s AI cluster software security, governance, compliance, observability and troubleshooting flows.   The management software will address the demanding needs of the most sophisticated datacenter operators and seamlessly integrate with the customer’s operational, security, compliance and governance flows.     This role offers the opportunity to shape a critical product that combines hardware, software, and systems to power AI deployments efficiently and reliably in diverse environments. If you are passionate about solving complex infrastructure challenges and building solutions that scale, this is the role for you.     Responsibilities  Define and deliver a world-class cluster management experience with a focus on observability, management, monitoring and security.   Collaborate with engineering to design reliable, scalable solutions and APIs tailored to cluster operator workflows.   Develop a deep understanding of cluster operator needs through user and market research.   Communicate product updates and roadmap progress clearly to internal and external stakeholders.   Skills & Qualifications  5+ years of product management experience, preferably in infrastructure observability and security domains.   Expert knowledge of security tools such as IAM, IDP, SIEM, Key management systems. Expert knowledge of observability solutions such as Prometheus, Grafana, log management systems, observability management systems.   Familiarity with cluster orchestration tools and concepts (e.g., Kubernetes).   Strong ability to think at the API and platform layers, designing solutions for operator workflows.   Excellent communication and collaboration skills, with the ability to work effectively across diverse teams.   Technical background (e.g., computer science, engineering) or the ability to engage deeply with engineering teams.   Proven ability to excel in a fast-paced, dynamic environment.   Preferred Skills & Qualifications  Experience in enterprise software, cloud infrastructure, or AI/ML platforms.   Understanding of security and authentication principles in software systems.   Familiarity with monitoring, telemetry, and fault tolerance in distributed systems.    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.

true

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleIf you’re a professional who works with text, Mindrift offers a unique opportunity to apply your writing, editing, and creative and communication skills to an AI training project. As an AI Tutor - Writer, your work will help train AI models, shaping how they understand and generate human-like text. This isn’t just traditional writing - you’ll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity.Although every project is unique, you might typically: Crafting original, clear, and fact-checked responses based on project guidelines. Following style and quality standards to ensure consistency. Collaborating with Quality Assurance Specialists to refine and improve content. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Master’s Degree or Bachelor’s Degree in communications, linguistics, literature, journalism, or education to ensure a strong understanding of grammar and stylistic features. You have at least 3 years of professional experience. Your level of English is proficient (C2). You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

true

About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.What the job involvesAs a member of the Hayden Software Engineering org you will help build our next generation product for enforcing School Bus Stop safety. This team is developing edge-based vehicle detection and tracking AI models. This is a C++ software engineering generalist role.  You will be delivering high quality C++ code that runs on edge devices.You will build and improve the accuracy of ML / CV models, including refining open-source models to solve Hayden-specific problems.Expect to collaborate with Product Management to translate customer needs to software solutions.Hayden is a startup. You will be working in an ambiguous, fast-paced environment.As Hayden begins an organizational scale-up phase, we need to build a rock-solid foundation. That means delivering well-designed and well-tested code that can be shared across the organization.ResponsibilitiesDeliver bullet-proof, rigorously tested C++ code.Iterate on our suite of real-time vehicle tracking and license plate reading systems.Refine and optimize cloud-side image and video processing.Deep dive into performance optimization, focusing on algorithms specifically for the Nvidia Jetson architecture.Enhance the infrastructure and tooling used for performance analysis, ensuring efficient development cycles.QualificationsBachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related field.Background in Machine Learning, Image Processing, Computer Vision, or a similar field.Minimum 7 years of industry experience.Strong programming proficiency in C++.Past experience collaborating with other software engineers. Hayden is beginning a scale-up process within the organization. We need people who can function in a larger organization. Ways to stand outIn-depth knowledge and experience with embedded systems development.Familiarity with CUDA/OpenCL programming and video processing pipelines.Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch).Familiarity managing data processing and machine learning code via GitHub.Experience with iOS or Android mobile application development beyond UI.Experience with ROS or other robotics systems.

false

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are looking for a Mechanical Engineer to design, test, and implement key hardware components that are part of the robot ecosystem. Responsibilities: Design parts in 3D CAD that satisfy load conditions, industrial design form factor, and durability requirements. Build prototypes to test assembly, range of motion, and wire routing. Generate accurate 2D drawings using GD&T per ASME Y14.5. Work with our GSM team to select a supplier and order parts. Inspect first articles, build test stands, and provide continuous support for parts on robot development platforms. Requirements:  2+ years of experience in mechanical engineering. Bachelor’s or Master’s degree in Mechanical, Biomechanical, Robotics, Mechatronics, or similar field. Expert in using 3D CAD software to design parts with complex geometry. Experience designing and building prototypes. Experienced with simulation and analysis methodology (FEA, MATLAB, etc.). Ability to write and maintain clean documentation for design processes.  Experience with electromechanical integration, such as sensors, motors, motor drivers, wire harnesses, and communication buses. Bonus Qualifications:  Experience with high volume manufacturing processes. Experience working with contract manufacturers. CATIA V6 Experience. Wire harness design experience. The US base salary range for this full-time position is between $120,000 - $180,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

false

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration.  We are looking for a Mechanical Engineer to help sustain the fleet of robots rolling our incremental improvements targeted to improve reliability, design and feature improvements. Responsibilities: Design parts in 3D CAD that satisfy load conditions, industrial design form factor, and durability requirements.  Build prototypes to test assembly, range of motion, wire routing.  Generate accurate 2D drawings using GD&T per ASME Y14.5. Inspect first articles, build test stands, and continuously support part on robot development platforms.  Requirements:  5+ years of experience in mechanical engineering Bachelor’s or Master’s Degree in Mechanical, Biomechanical, Robotics, Mechatronics, or similar field Expert in using 3D CAD software to design parts with complex geometry Experience designing and building prototypes Experienced with simulation and analysis methodology (FEA, MATLAB etc.) Ability to write and maintain clean documentation for design processes.  Experience with electromechanical integration, such as sensors, motors, motor drivers, wire harnesses, and communication buses. Bonus Qualifications:  Experience with high volume manufacturing processes. Experience working with contract manufacturers. CATIA V6 Experience Wire harness design experience The US base salary range for this full-time position is between $120,000 - $180,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

false

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are looking for a Software Engineer (all levels) to write, troubleshoot, and maintain our end of line software for programming, calibrating, and verifying subassemblies. Responsibilities: Implement improvements to our existing end of line automation software Use results from full subassembly validation campaigns to write automation tests for new hardware from scratch Spend time on the manufacturing line understanding and responding to key pain points, including troubleshooting failures, improving visibility and debuggability, and increasing test coverage to catch downstream issues Develop user-friendly GUI screens for production technicians to operate Requirements:  5+ years of industry experience. Strong proficiency in writing Python and C++ for interfacing with real hardware including actuators, sensors, relays, etc Experience with common embedded stacks: Debian Linux, Ethernet, USB, SPI, UART, SCPI Capable of reading and interpreting electronic circuit diagrams and integrating sensors and actuators Strong understanding of best practices in software engineering Bonus Qualifications:  Bachelor’s or higher degree in Software, Mechanical, Electrical, or Controls Engineering Manufacturing software experience Previous work on mobile robots The US base salary range for this full-time position is between $130,000 and $300,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

false

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what’s the role all about? The Prompt Engineer optimizes prompts to generative AI models across NiCE's Illuminate applications. As part of the Illuminate Research team, the Prompt Engineer works with several groups in the business to help our applications deliver the highest quality customer experience. The Prompt Engineer partners with global development teams to help diagnose and resolve prompt-based issues. This includes helping to define and execute tests for LLM-based systems that are difficult to evaluate with traditional test automation tools. The Prompt Engineer also helps educate the development teams on advances in prompt engineering and helps update production prompts to evolving industry best practices.   How will you make an impact? Regularly review production metrics and specific problem cases to find opportunities for improvement. Help diagnose and resolve issues with production prompts in English. Refine prompts to generative AI systems to achieve customer goals. Collect and present quantitative analysis on solution success. Work with application developers to implement new production monitoring tools and metrics. Work with architects and Product Managers to implement prompts to support new features. Meet regularly with teams working in United States Mountain and Pacific time zones (UTC-7:00 and UTC-8:00). Review new prompts and prompt changes with Machine Learning Engineers. Consult with Machine Learning Engineers for more challenging problems. Stay informed about new advances in prompt engineering.   Have you got what it takes?   Fluent in written and spoken English. BS in technology-related field such as computer science, business intelligence/analytics, or finance. 2-4 years' work experience in a technology-related industry or position. Familiarity with best practices in prompt engineering, to include differences in prompts between major LLM vendors. Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask.   You will have an advantage if you also have Basic AWS resource management, including microservice deployment. Containerization via Docker. Experience with both standard and AI-based testing frameworks such as PyTest and DeepEval. Exposure to generative AI application frameworks like LangChain, LlamaIndex, and griptape   What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!   Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.   Requisition ID: 8429 Reporting into: Tech Manager Role Type: Individual ContributorAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

false

About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking an experienced design leader to define the future of our AI Products suite, transforming how businesses leverage AI. You'll lead the design of breakthrough AI experiences including personal research agents, AI-powered content creation tools, our enterprise intelligence platform, and 0→1 AI-native products. This role requires deep expertise in LLM system architecture and strong opinions about what makes exceptional enterprise AI user experiences. As Product Design Lead for AI Products, you'll join an experienced, tight-knit, and collaborative group who love combining research, data, and intuition into user-centered design. You'll have an outsized impact on how knowledge workers interact with AI daily, shaping experiences that fundamentally transform how companies access knowledge, create content, and make decisions. You will: Lead AI Products design strategy owning Glean's AI suite including research agents that retrieve and synthesize information, creation tools for AI-generated artifacts, and our enterprise intelligence platform that mines organizational knowledge. Translate LLM complexity into intuitive UX developing deep expertise in model capabilities and constraints, creating understandable, trustworthy experiences that build appropriate mental models. Create AI-powered research and creation experiences enabling employees to generate documents, presentations, and visualizations that are grounded in company data, follow brand guidelines, and maintain accuracy through intelligent citations. Create AI-powered research and creation experiences that synthesize cross-functional data, write documents, make presentations, and output visualizations that are grounded in company data, follow organizational guidelines, and maintain accuracy through intelligent citations. Drive 0→1 product innovation systematically identifying opportunities for AI-native products, rapidly prototyping breakthrough experiences, and scaling solutions that deliver step-changes in productivity Partner with product and engineering leaders to shape product capabilities, understanding technical constraints while pushing boundaries of what's possible in enterprise AI Guide team excellence, mentoring 3-4 senior designers while establishing clear design principles, incorporating user research to understand AI adoption patterns, and ensuring designs drive measurable outcomes About you: Experience: 10+ years in product design, including 3+ years designing AI/ML products, preferably LLM-based applications. AI expertise: Deep hands-on experience with LLM systems, translating system capabilities into intuitive, user-friendly enterprise products. Technical fluency: Strong background enabling detailed discussions about AI architecture, model capabilities, and implementation tradeoffs with engineering teams. Portfolio: Examples leading the design of sophisticated AI products at scale, ideally including agent-based systems, content generation tools, or intelligence platforms Leadership & impact: Track record of shipping successful AI products with measurable impact on user productivity and satisfaction, while guiding and mentoring other designers Location: This role is hybrid (4 days a week in our Palo Alto or San Francisco office, with periodic travel expected between the two) Compensation & Benefits: The standard base salary range for this position is $235,000 - $280,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID

false

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Product Management at Cohere:We view the role that PMs play at Cohere to be “full-stack” in the sense that you will work with cross-functional stakeholders at every step of the way when conducting product discovery, training and evaluating models, designing the product, delivering the experience, and ensuring successful GTM and customer happiness.About the Code Role:AI is rapidly changing how software is developed, but many enterprises have been unable to adopt these powerful new tools due to strict security, privacy, and compliance requirements. Cohere is uniquely positioned to bridge this gap by building enterprise-ready AI for developers.This is a foundational, 0-to-1 product management role focused on defining and building Cohere's code generation product suite from the ground up. The focus of this PM will be to discover and deliver the most valuable coding products for our enterprise customers, leveraging Cohere’s state-of-the-art models and our trusted position in the market. The expectation is that you have a deep passion for developer tools, a strong understanding of the AI landscape, and experience navigating the needs of enterprise customers.This role will be responsible for defining and building:The overall product strategy and roadmap for Code at Cohere.The end-to-end user experience for developers, including potential form factors like chat interfaces, IDE plugins, and CLIs.The go-to-market motion required for successful enterprise adoption, in partnership with sales and marketing.The feedback loop that guides our research team in building the next generation of code models.In this role, you will:Define strategic priorities and the product roadmap for Code at Cohere, focusing on enterprise needs and emerging AI capabilities.Use deep customer engagement and data to understand developer workflows, identify high-value use cases, and guide product development.Collaborate with a wide range of stakeholders, including teams in research, engineering, design, product, finance, go-to-market, and marketing.Drive product strategy through a deep understanding of the dynamic and competitive AI landscape for developer tools.Partner closely with our world-class research team to ensure our code models remain state-of-the-art and are tailored to solve enterprise challenges.You're likely a good fit if you have:Product Management Experience: A demonstrated track record in product management (4+ years) of shipping developer-focused or AI-powered products from concept to launchDeveloper-First Mindset: A genuine passion for and deep understanding of developer workflows, developer experience (DX), and the rapidly evolving AI coding assistant landscapeTechnical Collaboration: The technical depth to collaborate effectively with world-class research and engineering teams, whether from a formal CS background or equivalent hands-on experience in software developmentAI/ML Knowledge: Hands-on experience with LLMs or code generation technologies, and a clear vision for the future of AI in software developmentCross-Functional Leadership: Experience leading and unifying cross-functional teams (research, engineering, design, sales, marketing) around a compelling product vision and roadmapCommunication Excellence: Exceptional communication and execution skills, with the ability to translate complex technical concepts into clear business outcomes and inspire teams to deliverIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

false

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.Because of the potential to work with our UK Defence clients, you will need to be eligible for UK SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present.About the RoleYou will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWe like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.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.

false

About Augment Code Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built. About the Role You'll be the architect of Augment's major market moments. In an industry where launch weeks drive record sign-ups and product launches make or break leaders, you'll own our most critical growth and reputation levers. You're the conductor of a fast-pace and world-class orchestra, coordinating story telling and launch efforts that accelerate Augment's trajectory. This role puts you at the intersection of cutting-edge AI technology and explosive startup growth, where your ability to move fast and coordinate flawlessly determines how Augment captures market-defining moments. Your mission Transform advanced technical and AI capabilities into compelling narratives, inspiring demos and brand-defining moments that grab attention, set a new bar for the industry, drive adoption, and shape how developers and engineering leaders see Augment Code and Software development with agents. Key responsibilities Drive product launches end-to-end: positioning, messaging, channel strategy, campaign execution Build launch frameworks that are repeatable, scalable, and adaptable Lead cross-functional coordination across Product, Eng, Design, DevRel, Sales, and Comms Translate technical product updates into developer-first storytelling across formats (web, docs, video, etc.) Partner with community leaders, creators, and press to amplify our launches Continuously refine positioning by listening to devs, analyzing usage, and watching competitors Key Competencies Strategic storytelling that resonates with both builders and buyers Deep empathy for developers and how they evaluate and use tools and AI Taste and creativity to make product narratives, content, campaigns and launches stand out Clear, punchy copywriting across channels that appeals to developers and engineering leaders Comfort working in ambiguity and iterating quickly Required Experience Proven success leading product marketing teams in developer tools Strong cross-functional leadership, including direct work with Product, Engineering, Marketing, founders and an Executive team Prior experiences as a professional Software Engineer and strong understanding of developer ecosystems Hands-on experience with AI tools and a strong grasp of how developers choose and use AI Experience crafting product launches, technical content, sales enablement and stories that stand out Employee Benefits: Flexible work hours Competitive salary & Equity Tools Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair Numerous company social events We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.

false

About the Team Together AI is building the Inference Platform that brings the most advanced generative AI models to the world. Our platform powers multi-tenant serverless workloads and dedicated endpoints, enabling developers, enterprises, and researchers to harness the latest LLMs, multimodal models, image, audio, video, and speech models at scale. If you get a thrill from optimizing latency down to the last millisecond, this is your playground. You’ll work hands-on with tens of thousands of GPUs (H100s, H200s, GB200s, and beyond), figuring out how to fully utilize every FLOP and every gigabyte of memory. You’ll collaborate directly with research teams to bring frontier models into production, making breakthroughs usable in the real world. Our team also works closely with the open source community, contributing to and leveraging projects like SGLang, vLLM, and NVIDIA Dynamo to push the boundaries of inference performance and efficiency. Some of what you’ll work on Build and optimize global and local request routing, ensuring low-latency load balancing across data centers and model engine pods. Develop auto-scaling systems to dynamically allocate resources and meet strict SLOs across dozens of data centers. Design systems for multi-tenant traffic shaping, tuning both resource allocation and request handling — including smart rate limiting and regulation — to ensure fairness and consistent experience across all users. Engineer trade-offs between latency and throughput to serve diverse workloads efficiently. Optimize prefix caching to reduce model compute and speed up responses. Collaborate with ML researchers to bring new model architectures into production at scale. Continuously profile and analyze system-level performance to identify bottlenecks and implement optimizations. What We’re Looking For 5+ years of demonstrated experience building large-scale, fault-tolerant, distributed systems and API microservices. Strong background in designing, analyzing, and improving efficiency, scalability, and stability of complex systems. Excellent understanding of low-level OS concepts: multi-threading, memory management, networking, and storage performance. Expert-level programming in one or more of: Rust, Go, Python, or TypeScript. Knowledge of modern LLMs and generative models and how they are served in production is a plus. Experience working with the open source ecosystem around inference is highly valuable; familiarity with SGLang, vLLM, or NVIDIA Dynamo will be especially handy. Experience with Kubernetes or container orchestration is a strong plus. Familiarity with GPU software stacks (CUDA, Triton, NCCL) and HPC technologies (InfiniBand, NVLink, MPI) is a plus. Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience. Why Join Us? Shape the core inference backbone that powers Together AI’s frontier models. Solve performance-critical challenges in global request routing, load balancing, and large-scale resource allocation. Work with state-of-the-art accelerators (H100s, H200s, GB200s) at global scale. Partner with world-class researchers to bring new model architectures into production. Collaborate with and contribute to the open source community, shaping the tools that advance the industry. A culture of deep technical ownership and high impact — where your work makes models faster, cheaper, and more accessible. Competitive compensation, equity, and benefits. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy  

true

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.Why This Role?This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI.In this role, you will:Build and ship features for North, our AI workspace platformDevelop autonomous agents that talk to sensitive enterprise dataExperiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectationsWork across the entire product lifecycle from conceptualization through productionLead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rolloutYou may be a good fit if:You have experience with and enjoy working directly with customersYou have shipped (lots of) Python in productionYou have built and deployed highly performant client-side or server-side RAG/agentic applicationsYou have experience deploying enterprise software in private/hybrid cloud environmentsYou have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code baseYou have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualizationYou excel in fast-paced environments and can execute while priorities and objectives are a moving targetIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

false

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 AI Solution Architect, you'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely IC role.• You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results.• You'll partner with Sales Executives in tailoring Mistral's offering into impactful solutions meeting with prospects needs• You'll design implementation projects and scope the required resources on both Mistral and customer side• You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations.• You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production.• You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs.• You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages.• You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world.• You will travel approximately 30 to 60% of your time.• Your role will involve spending time at the client’s office. What you will do Your scope will be as follows: Pre-Sales & Sales Activities:• Conduct pre-sales calls to understand potential clients' needs, challenges, and aspirations.• Lead qualification calls to pinpoint prospects who would gain the most from our solutions.• Collaborate with the sales team to advance the sale pipeline, providing technical expertise and insights where necessary. Product Implementation, Integration & Deployment:• Guide and support customers in deploying our models and products into their infrastructure.• Work closely with customers to fine-tune models according to their specific requirements.• Assist clients in integrating our APIs into their front-end interfaces, ensuring a smooth user experience.• Regularly liaise with the product and technical teams to relay feedback and suggest improvements.• Design and develop product features that would meet the need of many customers. Customer Success & Support:• Continually ensure that the customer is maximizing the product's potential.• Provide post-deployment support, addressing any issues or challenges that arise promptly.• Conduct periodic reviews with customers to ascertain their satisfaction and gather feedback.• Offer recommendations for product optimisations or new features based on customer feedback.• Develop these features if needed. Delivering value to the customers:• Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives.• Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process• Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.   About you • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• You have been involved in a customer facing role• Passion for AI, with a constant drive to stay updated and ahead of the curve• Proven experience in product implementation in AI or machine learning products• You have strong project & stakeholder management skills• You are proficient in developing custom prototypes using frameworks in Python or Javascript• You have foundational knowledge in AI/ML/Data science• Proficient in understanding and developing code• Familiarity with front-end interfaces and integration processes.• You have ability to connect technology and business value • You are result driven and resilient• Fluent in English and French• Being familiar with sales qualification concepts is a strong plus We are looking for adaptable team players who excel in a fast-paced environment and are ready to frequently support pre-sales as well as deployment tasks, contributing to our shared goals and success. Hiring Process • Talent Acquisition screening call• 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution)• 30min Value Talk • Reference check

false

Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Staff Software Engineer, Frontend at Harvey, you will own and lead engineering projects that define the user experience of our different products: Assistant, Vault, Workflows, and Harvey in Microsoft Word and Outlook. You will also lead frontend engineering on new products that we are building at Harvey. The team is composed of highly motivated, skilled, and considerate engineers. Everything we touch is polished to high standards extending to all aspects of our work – from design to architecture to code to slack communication. If any of this resonates with you, this role might be right for you.This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.What You'll DoBuild new interfaces for lawyers and organizations to collaborate with AI.Lead end-to-end UI features for Assistant, Vault, Workflows, our Word/Outlook add-ins, and future Harvey products — from scoping and design reviews to implementation, launch, and iteration.Build polished, high-performance React + TypeScript interfaces using TailwindCSS, with crisp interactions, resilient state management, and strong error handling.Architect reusable components and patterns and evolve our internal design system.Optimize frontend performance at scale.Collaborate tightly with design and backend/infrastructure to shape APIs and UX for long-running jobs, streaming results, and tool-calling workflows.Raise the bar on frontend reliability and security UX for enterprise and regulated environments.Mentor peers through thoughtful code reviews and documentation; help refine our frontend standards and developer experience.What You HaveExperience with React, Typescript, and CSS (we use TailwindCSS)Track record of building fast-growing SaaS products by leveraging PWA technologiesTrack record of shipping highly intuitive products, strong attention to detailExperience working at startups and scaleups (anywhere from early-to-late-stage) is a plusCompensation Range$175,000 - $280,000 USDPlease find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.