Staff Specialist Field Engineer, Robotics

CoreWeave — San Francisco, California, United States · In-Person · Staff+ · $177k - $237k/yearly

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Role description

Role Overview

The Staff Specialist Field Engineer, Robotics will lead the establishment and growth of CoreWeave's presence in the robotics vertical. This role requires a deep understanding of robotics systems development, robot learning, and AI/ML for physical autonomous systems. The successful candidate will work across CoreWeave's AI platform to design and deploy solutions and build customer-facing applications tailored to specific robotics use cases.

What You Will Do

The Staff Specialist Field Engineer, Robotics 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. This role requires building and iterating on customer-facing applications using the CoreWeave product stack tailored to specific engineering use cases.

Why It Might Be a Fit

We believe in investing in our people and value candidates who can bring their own diversified experiences to our teams. If you understand why the same neural network that works in simulation can fail on hardware, and you find solving that problem an interesting challenge, this role might be a good fit.

Requirements

  • 8+ years experience in robotics systems development, robot learning, or AI/ML for physical autonomous systems
  • Deep understanding of physical system dynamics, kinematics, and the engineering constraints that govern real-world robot behavior
  • Hands-on ML capability: able to build, validate, and deploy ML solutions independently in Python using modern ML frameworks
  • Proficient in working directly in JupyterHub, VS Code, Marimo, and W&B Models to build and deploy customer-facing applications
  • Working knowledge of ML approaches relevant to robotics: imitation learning, reinforcement learning, sim-to-real transfer, anomaly detection for physical systems, or trajectory prediction
  • Able to validate ML solutions on physical grounds and identify when a model output violates the constraints of the real system it represents
  • Proven experience leading complex technical customer engagements, managing multi-stakeholder environments, and maintaining executive relationships
  • Familiarity with robot simulation environments (Isaac Sim, MuJoCo, Gazebo, or similar) and their role in training and validating robot learning pipelines
  • Able to translate field observations into structured product signals that are actionable for an engineering team
  • Bachelor’s or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Physics, or a related technical discipline

Benefits

  • Medical, dental, and vision insurance
  • 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

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