Staff Specialist Field Engineer (Robotics)

Join CoreWeave, a leading provider of AI solutions, as a Staff Specialist Field Engineer in Robotics. In this role, you will establish and lead the robotics vertical, engage with customers, set technical standards, and lead complex customer engagements. You will design and deploy solutions using CoreWeave's AI platform and build customer-facing applications tailored to specific robotics use cases. This position requires hands-on ML capability, proven experience in leading technical customer engagements, and a deep understanding of physical system dynamics and robotics.

• Establish and lead the robotics vertical within the Physical AI Field Engineering team, defining engagement strategies and setting technical standards.
• Lead complex customer engagements from initial scoping through to embedded deployment and expansion, ensuring successful implementation of AI solutions.
• Gather and synthesize signals from real customer deployments to inform the development of standalone capabilities, contributing to the wider Field Engineering team’s knowledge framework.
• Hands-on ML capability: able to build, validate, and deploy ML solutions independently in Python using modern ML frameworks
• Proven experience leading complex technical customer engagements, managing multi-stakeholder environments, and maintaining executive relationships
• Able to validate ML solutions on physical grounds and identify when a model output violates the constraints of the real system it represents
• Deep understanding of physical system dynamics, kinematics, and the engineering constraints that govern real-world robot behaviour
• Proficient in working directly in JupyterHub, VS Code, Marimo, and W&B Models to build and deploy customer-facing applications
• Bachelor’s or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Physics, or a related technical discipline
• 8+ years experience in robotics systems development, robot learning, or AI/ML for physical autonomous systems, with experience in manipulation, locomotion, or mobile robotics
• Familiarity with robot simulation environments (Isaac Sim, MuJoCo, Gazebo, or similar) and their role in training and validating robot learning pipelines
• 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 translate field observations into structured product signals that are actionable for an engineering team
• 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
• Familiarity with ROS/ROS2 and associated tooling
• Track record of contributing to internal knowledge frameworks, technical publications, or industry forums in the robotics space
• Experience identifying and progressing expansion opportunities within strategic customer accounts
• Familiarity with foundation models for robotics and their application to generalised manipulation or locomotion tasks
• Experience working with compute-intensive training workloads and an understanding of the infrastructure requirements they create
• Experience deploying robot learning systems on real hardware, including managing the sim-to-real gap in production settings
• You 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
• You are equally comfortable discussing learning algorithm design with an ML researcher and actuator dynamics with a mechanical engineer
• You understand why the same neural network that works in simulation can fail on hardware, and you find solving that problem an interesting challenge
• You want to build AI solutions that run on real robots in real environments, not in controlled demonstrations