Staff Specialist Field Engineer

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.

• Establish and lead the Robotics vertical within the Physical AI Field Engineering team.
• 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.
• Build and validate ML solutions independently using CoreWeave’s product stack (including Monolith, Marimo, and W&B Models).
• Build and iterate on customer-facing applications tailored to specific robotics use cases.
• Gather and synthesise signals from real customer deployments, identifying where customer needs are consistent enough across accounts to inform development of standalone capabilities.
• 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.

Preferred:

• 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.

• The base salary range for this role is $177,000 to $237,000.
• Total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program.