Staff Specialist Field Engineer, Robotics

The 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.

This 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.

A 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.

• 8+ years experience in robotics systems development, robot learning, or AI/ML for physical autonomous systems, with experience in manipulation, locomotion, or mobile robotics.
• Deep understanding of physical system dynamics, kinematics, and the engineering constraints that govern real-world robot behaviour.
• 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.

• Experience deploying robot learning systems on real hardware, including managing the sim-to-real gap in production settings.
• 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 identifying and progressing expansion opportunities within strategic customer accounts.
• Track record of contributing to internal knowledge frameworks, technical publications, or industry forums in the robotics space.
• Familiarity with ROS/ROS2 and associated tooling.

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 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.
• You are equally comfortable discussing learning algorithm design with an ML researcher and actuator dynamics with a mechanical engineer.
• 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.

The 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).