{"id":1230135,"url":"https://alion.io/job/coreweave-staff-specialist-field-engineer-robotics","title":"Staff Specialist Field Engineer, Robotics","company":{"id":7348,"name":"CoreWeave","domain":"coreweave.com","url":"https://alion.io/company/coreweave","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":73,"ghost_share":0,"stale_share":0.795,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":177000,"max":237000,"currency":"USD","period":"year","gross":null,"usd_annual":237000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"CoreWeave","optional":false},{"name":"Gazebo","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Machine Learning","optional":false},{"name":"MuJoCo","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"ROS","optional":false},{"name":"ROS2","optional":false},{"name":"Sim-to-Real","optional":false}],"status":"live","first_seen_at":"2026-06-18T19:07:08Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-22T14:55:59Z","board_verified":true,"closed_at":null,"days_open":125,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":125},"description":"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.\nWhat You’ll Do\nThe Physical AI Field Engineering team at CoreWeave deploys AI solutions within enterprise engineering organisations, helping customers realise measurable value from machine learning applications. As we build our presence in Robotics, we are seeking a Staff Specialist Field Engineer to establish and lead this vertical. You will define how the team engages with robotics customers, set the technical standard for the practice, and lead complex customer engagements from initial scoping through to embedded deployment and expansion.\nThis role requires genuine depth on both sides of the engagement: you must be credible to the control engineers, roboticists, and ML researchers in the room, and capable of building and validating ML solutions independently using our product stack. You will work across CoreWeave’s AI platform (including Monolith, Marimo, and W&B Models) to design and deploy solutions and build customer-facing applications tailored to specific robotics use cases.\nA core part of this role is building and iterating on customer-facing applications using the CoreWeave product stack tailored to specific engineering use cases. These applications are the product the customer uses; you are not just deploying tools but building at the product edge. You will gather and synthesise signals from real customer deployments, identifying where customer needs are consistent enough across accounts to inform development of standalone capabilities. You will contribute to the wider Field Engineering team’s Physical AI knowledge framework and provide critical signals of what customers need in the field and what ultimately gets built in the product.\nWho You Are\n8+ years experience in robotics systems development, robot learning, or AI/ML for physical autonomous systems, with experience in manipulation, locomotion, or mobile robotics.\nDeep understanding of physical system dynamics, kinematics, and the engineering constraints that govern real-world robot behaviour.\nHands-on ML capability: able to build, validate, and deploy ML solutions independently in Python using modern ML frameworks.\nProficient in working directly in JupyterHub, VS Code, Marimo, and W&B Models to build and deploy customer-facing applications.\nWorking knowledge of ML approaches relevant to robotics: imitation learning, reinforcement learning, sim-to-real transfer, anomaly detection for physical systems, or trajectory prediction.\nAble to validate ML solutions on physical grounds and identify when a model output violates the constraints of the real system it represents.\nProven experience leading complex technical customer engagements, managing multi-stakeholder environments, and maintaining executive relationships.\nFamiliarity with robot simulation environments (Isaac Sim, MuJoCo, Gazebo, or similar) and their role in training and validating robot learning pipelines.\nAble to translate field observations into structured product signals that are actionable for an engineering team.\nBachelor’s or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Physics, or a related technical discipline.\nPreferred\nExperience deploying robot learning systems on real hardware, including managing the sim-to-real gap in production settings.\nFamiliarity with foundation models for robotics and their application to generalised manipulation or locomotion tasks.\nExperience working with compute-intensive training workloads and an understanding of the infrastructure requirements they create.\nExperience identifying and progressing expansion opportunities within strategic customer accounts.\nTrack record of contributing to internal knowledge frameworks, technical publications, or industry forums in the robotics space.\nFamiliarity with ROS/ROS2 and associated tooling.\nWondering if you’re a good fit?\nWe 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.\nYou understand why the same neural network that works in simulation can fail on hardware, and you find solving that problem an interesting challenge.\nYou want to build AI solutions that run on real robots in real environments, not in controlled demonstrations.\nYou are equally comfortable discussing learning algorithm design with an ML researcher and actuator dynamics with a mechanical engineer.\nYou want to bring your robotics domain expertise into a team that already knows how to land and expand AI solutions with engineering customers, and you see being the domain authority that opens a new vertical as a genuinely compelling opportunity.\nThe base salary range for this role is $177,000 to $237,000. 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).\nWhat We Offer\nThe 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.\nIn 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:\nMedical, dental, and vision insurance - 100% paid for by CoreWeave\nCompany-paid Life Insurance \nVoluntary supplemental life insurance \nShort and long-term disability insurance \nFlexible Spending Account\nHealth Savings Account\nTuition Reimbursement \nAbility to Participate in Employee Stock Purchase Program (ESPP)\nMental Wellness Benefits through Spring Health \nFamily-Forming support provided by Carrot\nPaid Parental Leave \nFlexible, full-service childcare support with Kinside\n401(k) with a generous employer match\nFlexible PTO\nCatered lunch each day in our office and data center locations\nA casual work environment\nA work culture focused on innovative disruption\nCalifornia Applicants\nCalifornia Consumer Privacy Act \nEqual Opportunity & Accommodations\nCoreWeave 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.\nAs 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: .\nExport Control Compliance\nThis 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. 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