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Updated 14 Nov 2026, 13:10 UTC

Solutions Architect

$165,000 – $220,000

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: CoreWeave is the AI Hyperscaler™ — an AI-first cloud where every layer is purpose-built for AI workloads. The Global Field Organization owns our technical customer relationships and partners hands-on with some of the most advanced AI teams in the world. CoreWeave Federal, the newest team within the GFO, brings this platform to U.S. government agencies, the Intelligence Community, and the Defense Industrial Base — where some of the hardest and most consequential AI deployment problems live: real-time geospatial analysis, intelligence at scale, autonomous systems, and secure multi-agent workflows, all under the toughest compliance constraints in the industry. We hire field engineers who want to apply the stack powering frontier AI labs to missions that matter for national interest. The Account Solutions Architect, Federal is the named technical partner for U.S. government agencies across CoreWeave's full platform — spanning infrastructure to inference. You'll work alongside federal customers to design AI workloads that meet mission requirements while aligning with federal AI compliance standards. You'll lead proofs of concept end-to-end, partner with Account Executives and federal teams on technical strategy, and serve as the bridge between mission needs and our engineering, security, and compliance organizations. In this role, you will: - Serve as the named technical partner for federal customers across CoreWeave's full platform - Provide technical guidance on running AI workloads in regulated environments, including FedRAMP, DoD Impact Levels (IL2–IL6), and emerging AI-specific federal standards - Represent the voice of the federal customer internally — distilling requirements, compliance gaps, and federal use case patterns back to Product, Security, and Engineering - Build reference architectures and enablement content for federal engagements, raising the technical bar of the federal field organization as it scales Who You Are: - U.S. Citizenship and an active U.S. government security clearance (Secret minimum; TS/SCI strongly preferred); must be eligible to obtain and maintain higher levels of clearance - 5+ years in a solutions engineer, solutions architect, or technical field engineering role, with at least 3 years supporting federal customers - Strong Python proficiency and hands-on experience training, fine-tuning, evaluating, and deploying modern deep learning models, including LLMs; experience designing and deploying production agentic applications for real customer use cases - Working knowledge of federal cybersecurity frameworks and authorization processes, plus familiarity running AI workloads on at least one major cloud platform (AWS/GovCloud, Azure/Government, or GCP/Government) Preferred: - Active TS/SCI clearance, ideally with a current CI or Full Scope Polygraph - Familiarity with deep learning frameworks (PyTorch) and the modern LLM stack (vLLM, LangChain, LlamaIndex) - Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage - Experience using Slurm or Kubernetes for ML job orchestration, especially in air-gapped or classified environments - Background in ML Engineering, AI Engineering, MLOps, or LLMOps with public sector or defense customers Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. - You're mission-driven — you want your technical work to translate into outcomes that matter for national security, public services, and the country, not just enterprise software adoption - You see compliance and security constraints as design problems, not blockers — you find satisfaction in making frontier AI actually work inside FedRAMP, classified networks, and air-gapped clusters - You see the problem through your customer's eyes — their mission constraints, their compliance requirements, their internal politics — before you reach for a solution Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). LIjobs What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

👤 HumanFull-timeSenior

By CoreWeaveJun 30, 2026

Senior Forward Deployed Engineer, AI Agents

Negotiable

👤 HumanFull-timeSenior

By CoreWeaveAug 7, 2026

Account Solution Architect - Financial Services

Negotiable

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: CoreWeave is the AI-first cloud where every layer, from compute and networking through orchestration, observability, and the broader AI tooling stack, is purpose-built for AI workloads. The Field Engineering team owns the technical relationship with every CoreWeave customer. We partner with Sales, Support, Product, and Engineering to deliver technical success across the full customer lifecycle. You’ll work hands-on with some of the most advanced AI teams in the world as they build, train, deploy, and scale their workflows. Greenfield is where we meet the next generation of those teams — net-new customers that haven’t yet built on CoreWeave. We hire technical, AI Solution Architects who want to operate the full stack, own customer relationships end-to-end, and grow on a visible technical ladder that recognizes customer impact above all. About the role: The Account Solutions Architect, Engaged, Financial Services is the named technical partner to existing financial services customers across CoreWeave’s full platform: infrastructure, Models, Weave, observability, and inference. You’ll work with some of the most sophisticated AI and compute-intensive organizations in the market, including quantitative trading firms, hedge funds, asset managers, and other financial institutions using AI, ML, and large-scale compute to drive business-critical outcomes. You’ll help these customers solve real-world problems by deepening platform adoption, identifying and driving expansion opportunities, strengthening relationships with key technical stakeholders, and serving as a trusted advisor as they scale AI workloads in production. This includes understanding how financial services customers approach model development, research velocity, evaluation, production deployment, governance, performance, reliability, and infrastructure efficiency. You’ll partner closely with Account Managers on the commercial motion, with Specialist Field Engineers for deep domain expertise, and with customer teams to ensure they are getting maximum value from CoreWeave. You’ll represent the voice of financial services customers internally, surface product feedback from the field, and proactively address technical blockers and business-critical needs to ensure customer success. This role is for customer-focused AI practitioners who understand the demands of financial services environments and are excited to help leading quant, hedge fund, and enterprise finance teams deepen their partnership with CoreWeave and scale the next generation of AI workloads in production. Who You Are: - 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role. - Experience - Proficiency in Python - Hands-on experience training, fine-tuning, evaluating, and deploying deep learning models, including modern LLM architectures - Experience designing and deploying production LLM-powered applications for customer use cases - Experience working with financial services customers, such as quantitative trading firms, hedge funds, asset managers, banks, or other enterprise finance organizations, with an understanding of their unique technical, operational, and business-critical requirements. - Familiarity with running AI workloads least one major cloud platform (AWS, GCP, or Azure) - Demonstrated ability to break down and solve complex, often novel, technical problems with enterprise customers - Excellent written and verbal communication and presentation skills, with the ability to translate technical concepts for both engineering and executive audiences Preferred: (if applicable) - Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage - Familiarity one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex) - Experience using Slurm or Kubernetes for ML job orchestration - Experience with hyperparameter optimization and experiment tracking tools\ - Background in ML Engineering, AI Engineering, MLOps, or LLMOps - Prior experience in a technical pre-sales or solutions architecture role focused on net-new logos or greenfield accounts - Familiarity with high-performance GPU infrastructure (e.g., NVIDIA H100/H200/B200, InfiniBand networking, parallel file systems) Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. - You'd rather show than tell — you build the demo or PoC instead of just pitching it. - You get excited by empty whiteboards —new customers, novel problems, new playbooks for AI natives. - You're genuinely curious about your customers' work — what they're building, what's getting in their way, what success looks like for them. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

👤 HumanFull-timeMid

By CoreWeaveJun 8, 2026

Full Stack Engineer

Negotiable

Negotiable

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY Apptronik is building Apollo, a general-purpose humanoid robot, and the physical AI that drives it. Scale is the name of the game: every robot and teleoperator we field produces synchronized video, proprioceptive, tactile, and force-torque streams, and the fleet's output grows with every deployment. Turning that volume of data into shipped autonomy — routinely, at multi-terabyte scale — is what this role is about. We are looking for a Senior Software Engineer, ML Infrastructure to build that platform: the self-serve services and pipelines that carry data from collection through curation, training, and evaluation to a qualified model running on real hardware. Much of it is being created ground-up for the long term — humanoid robotics has few off-the-shelf answers — so the team builds first-party platform services alongside the open-source and commercial tooling we adopt where it genuinely fits. This is a hands-on role on a small team whose platform is depended on daily by researchers and engineers across MLOps, Autonomy, Data Platform, and TeleOp. ESSENTIAL DUTIES AND RESPONSIBILITIES You will build the ML platform — the APIs, workers, and control planes that let researchers and robot teams move data and models through the system in a self-serve manner, with the testing and observability that being a dependency implies. The platform's responsibilities include: - Data Curation & Annotation: Turn raw robot and simulation data into training-ready datasets — selection and filtering of manipulation episodes with synchronized sensor streams; annotation workflows that combine automatic labeling with human-in-the-loop review at throughput; and dataset versioning and lineage strong enough that any model traces back to the exact data that produced it. - Data Pipelines at Scale: Make multi-terabyte dataset operations routine — transformation and assembly, coverage and quality statistics that tell us a training set is good before we spend a cluster-week on it, and read paths that keep GPUs fed. - Simulation & Evaluation: Build the rollout harnesses that evaluate policies in simulation on our GPU cluster; the benchmarks and metrics captured consistently across simulation, real-robot, and teleoperation sources; and the qualification gates a model must pass before it reaches Apollo — automatic, not manual review. - Model Promotion: Build the model store — versioning, metadata, attached evaluation results, lineage — and the promotion path from trained to qualified to deployed on robot, including packaging (ONNX, TensorRT) in partnership with Autonomy. - Developer Experience: Provide the tooling researchers use daily — experiment tracking, training job submission, sweeps, and reproducible container environments. Reduce time from idea to running training job; win adoption by being the fastest path, not by mandate. Alongside the technical work, you will partner with Autonomy, Data Platform, and TeleOp on dataset and model lifecycle contracts, contribute to the technical direction of these layers, and mentor the engineers around you through code and design review. SKILLS AND REQUIREMENTS No single person will have depth in everything below. We are looking for someone who has built platform services in production at scale with real depth in at least one of three areas — large-scale data pipelines , annotation and labeling , or evaluation and simulation — plus solid cloud and Python across the board: - A builder at scale: a track record of designing and shipping production systems and services that other teams depend on daily. - Deep hands-on experience with large-scale data pipelines for ML: multi-terabyte transformation and dataset assembly of multimodal sensor data — video and image streams, time-synchronized robot telemetry, the kind of data that trains vision-language-action and computer-vision models — with columnar and time-series formats (Parquet, Arrow), dataset versioning and lineage (lakeFS, DVC, Iceberg, or equivalent), and object storage (S3, MinIO). - Experience with ML annotation and labeling at scale: automatic annotation of data combined with human-in-the-loop workflows — the tooling, quality control, and throughput management. - Experience building large-scale evaluation or simulation harnesses: many parallel jobs on GPU infrastructure, aggregated into decision-grade results. - Strong Python and general software engineering ability (testing, API design, code review), plus cloud infrastructure, Kubernetes, Docker, and modern CI/CD. EDUCATION and/or EXPERIENCE - 5+ years of professional software engineering experience in ML platforms, data infrastructure, or related fields, OR 3+ years of direct, hands-on experience owning the data and evaluation infrastructure behind models shipped to production. - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field, or equivalent experience. Bonus Qualifications: - Robotics data formats and fleet-scale telemetry (MCAP, ROS, LeRobot, or equivalent). - Simulation-in-the-loop evaluation with Isaac Sim, IsaacLab, MuJoCo, or equivalent. - Reinforcement or imitation learning infrastructure for embodied agents (rollout workers, sim-eval harnesses). - Deploying ML models to edge targets (ONNX Runtime, TensorRT, robot fleets). PHYSICAL REQUIREMENTS - Prolonged periods of sitting at a desk and working on a computer - Must be able to lift 15 pounds at times - Vision to read printed materials and a computer screen - Hearing and speech to communicate *This is a direct hire. Please, no outside Agency solicitations. Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

👤 HumanFull-timeSenior

By ApptronikAug 31, 2026

Senior Computer Vision Engineer

Negotiable

Negotiable

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo’s Technical Program Managers and Program Managers are accountable for Waymo’s roadmap execution by providing thoughtful cross-functional planning, clarity, and proactive risk management. In the face of complex technical and operational challenges with no established playbooks to follow, we act with thoughtful urgency, driving conversations, discussions, and outcomes. Our team partners closely with every function of Waymo to structure, own and drive work towards real-world deployments of the Waymo Driver across platforms and geographies. You will: - Drive cross-functional execution and delivery of projects within the onboard team, collaborating with engineering teams, product teams and release management - Manage project schedules, identify risks and dependencies, and develop mitigation strategies - Facilitate communication and collaboration between engineering, research, and product teams, ensuring alignment on program goals, milestones, and technical requirements - Track and report on project/program progress, risks, and key performance indicators (KPIs) to leadership and stakeholders - Contribute to the strategic planning, objective setting, and technical roadmap for the Waymo Foundation Model program - Proactively identify and resolve roadblocks and dependencies, coordinating across organizational boundaries You have: - A Bachelor's degree in Computer Science, Engineering, or a related technical field - 5+ years of experience as a Technical Program Manager in a software engineering environment - A proven track record of successfully managing complex technical projects involving machine learning and/or AI - Experience with machine learning models, training pipelines, or evaluation frameworks - Excellent communication, interpersonal, and presentation skills, effectively conveying technical concepts to both technical and non-technical audiences - Strong analytical, problem-solving, and technical judgment skills We prefer: - Experience with large language models (LLMs), vision language models, generative AI, diffusion models, large-scale model training, data labeling, data generation and packaging for model training - Strong background in 3D computer vision, sensor fusion (camera, lidar), spatial reasoning, and 3D reconstruction methods (NeRF, Gaussian Splatting) - Experience with cloud-based machine learning platforms and infrastructure - Experience with simulation environments for autonomous systems, model validation strategies, and methods to ensure model reliability - Experience with model evaluation techniques, metrics, time-series analysis, and predictive modeling using sensor data, model optimization, and scaling techniques - Master's degree or PhD in a related field The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $159,000 - $196,000 USD

👤 HumanFull-timeSenior

By WaymoSep 17, 2026

Negotiable

THE BOT COMPANY We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences. Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution. WHAT WE LOOK FOR IN ALL CANDIDATES All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate: - Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains. - Engineering curiosity: you naturally dig into how systems work, even outside your specialty. - High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding. MACHINE LEARNING: MULTIMODAL FOUNDATION MODELS We are building unified foundation models that natively reason across text, image, video, and kinematics to drive intelligent robotic policies. You will work on large multi-modal networks and own the entire stack from data to training and deploying models. WHAT YOU'LL DO - Build Native Multimodal Policies: Develop architectures where vision, language, and more modalities share a unified representation. - Improve Cross-Modal Reasoning: Research and implement methods to ensure the model doesn't just "associate" modalities but actually reasons through them (e.g., grounding visual physics in kinematic constraints). - Own the Training Loop End-to-End: Design, run, debug, and iterate on large-scale training experiments; diagnosing failure modes, improving data mixtures, and tightening evaluation to drive measurable gains. - Ship and Iterate on Real Systems: Integrate models into real robotic stacks, build on robot code to deploy your models, and optimize performance for edge inference. REQUIREMENTS - Very strong coding skills in Python, C++, or Rust. - Production MLLM Experience: Track record of training and deploying large-scale multimodal models. - Pretraining & RL Mastery: Deep intuition for LLM-style pretraining, post-training, and Reinforcement Learning at scale. - Infrastructure Fluency: Comfortable managing and optimizing large-scale experiments on massive GPU clusters. WHY JOIN You’ll work with a small, elite team on challenges that require speed, intelligence, and deep engineering instinct. If you enjoy understanding systems at all levels, move fast, and think even faster, you’ll thrive here.

👤 HumanFull-timeMid

By The Bot CompanyFeb 25, 2026

Field Application Engineer - AI Software & Hardwar...

Negotiable

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote or hybrid based out of Belgrade, Serbia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” - You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. - You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. - Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions. - Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements. What We Need - Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager). - Your field insight will help shape our roadmap, our features, and the way we show up for developers. - Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow. - Experience with embedded systems, FPGA Architecture or AI accelerators. - Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management. What You Will Learn - How to explore and push the boundaries of AI performance on custom silicon and help developers do the same. - What it’s like to build the future from scratch, working alongside teams creating hardware, software, and everything in between. - To master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale. - An understanding of why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

👤 HumanFull-timeSenior

By TenstorrentSep 21, 2026

Staff AI Scientist, Foundation Models

Negotiable

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. At Tempus, we are pursuing a mission to redefine precision medicine through data-driven insights. The Foundation Model group is a multidisciplinary team of AI scientists and engineers developing foundation models across diverse clinical and molecular modalities, including longitudinal patient data, pathology, genomics, and other biomedical data. Our goal is to build generalizable AI representations and models that can power applications across clinical care, biomedical research, and the drug development lifecycle. As a Staff AI Scientist, Foundation Models , you will be a senior individual contributor focused on advancing large-scale foundation models for precision medicine. You will work at the intersection of machine learning, clinical science, and life sciences, developing novel models using one of the world’s largest clinical and molecular datasets and translating them into impactful applications across clinical research, drug development, and partner programs. Key Responsibilities: Technical Leadership: Serve as a senior individual contributor within the foundation model team, providing strong hands-on technical contributions while helping shape model architecture, research direction, and execution. Work closely with scientists and engineers to take ambitious AI technologies from research through validation and deployment. Foundation Model Research: Design, train, and advance state-of-the-art foundation models across large-scale multimodal clinical and molecular data, including longitudinal patient records, pathology, genomics, and related biomedical modalities. Drive innovation in areas such as pretraining, representation learning, self-supervised learning, multimodal learning, model scaling, and post-training. Foundation Model Applications: Develop and adapt foundation-model-derived models for downstream clinical and life sciences applications, including prognosis, treatment outcome prediction, patient stratification, biomarker discovery, clinical trial applications, and partner-specific AI solutions. Scientific Leadership: Contribute original ideas that advance Tempus’s foundation model research agenda, publish impactful research, and engage with the broader AI research community. Regulatory and Product Alignment: Work with cross-functional teams to ensure models and AI products meet appropriate quality, validation, and regulatory standards for healthcare and life sciences applications. Qualifications: We value diverse perspectives and recognize that outstanding talent does not always follow a linear path. If you are passionate about this work and believe you have what it takes to thrive here, please apply even if you do not precisely match all the qualifications below. Education: Ph.D. in Computer Science, or a related quantitative field. Professional Experience: 3+ years of industry experience driving end-to-end development of machine learning models, from research and experimentation to validation and production deployment. Domain Expertise: Demonstrated expertise in large-scale deep learning and foundation model development is required, including experience in areas such as pretraining, representation learning, self-supervised learning, multimodal modeling, or post-training. Experience with computer vision, NLP, pathology, longitudinal EHR, genomics, or other biomedical modalities is preferred. Prior work in medical or healthcare AI is highly valued but not required. Research Excellence: A strong track record of original, high-impact research demonstrated through peer-reviewed publications in leading machine learning, computer vision, NLP, or related AI venues is required. Publications in medical or healthcare AI and prior experience developing foundation models are strongly preferred. Engineering Excellence : Proficiency in Python and the modern deep learning stack (e.g. Pytorch). Strong product-level coding skills for model development are essential, along with a solid understanding of industry-standard software engineering and development practices. New York Pay Range - $220,000 - $260,000 USD The expected salary range may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are 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.

👤 HumanFull-timeRemoteExpert / Staff+

By Tempus AISep 13, 2026

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