Staff Specialist Field Engineer, Robotics
About the role
The Physical AI Field Engineering team at CoreWeave deploys AI solutions within enterprise engineering organizations, helping customers realize measurable value from machine learning applications. We are expanding our presence in Robotics and are seeking a Staff Specialist Field Engineer to establish and lead this vertical.
Responsibilities
- Define how the team engages with robotics customers, setting the technical standard for the practice.
- Lead complex customer engagements from initial scoping through to embedded deployment and expansion.
- Work across CoreWeave’s AI platform (Monolith, Marimo, and W&B Models) to design and deploy solutions and build customer-facing applications tailored to specific robotics use cases.
- Build and iterate on customer-facing applications using the CoreWeave product stack tailored to specific engineering use cases.
- Gather and synthesise signals from real customer deployments to identify 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.
Requirements
- 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 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.
Qualifications
- Bachelor’s or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Physics, or a related technical discipline.
- PREFERRED: Deploying robot learning systems on real hardware, including managing the sim-to-real gap in production settings.
- PREFERRED: Familiarity with foundation models for robotics and their application to generalised manipulation or locomotion tasks.
- PREFERRED: Experience working with compute-intensive training workloads and an understanding of the infrastructure requirements they create.
- PREFERRED: Experience identifying and progressing expansion opportunities within strategic customer accounts.
- PREFERRED: Track record of contributing to internal knowledge frameworks, technical publications, or industry forums in the robotics space.
- PREFERRED: Familiarity with ROS/ROS2 and associated tooling.
Skills
- Strong communication and interpersonal skills to manage multi-stakeholder environments.
- Ability to translate technical concepts into actionable insights for engineering teams.
- Experience in deploying AI solutions in real-world robotics environments.
- Knowledge of industry standards and best practices in robotics and AI.
Benefits
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).
Pay
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.
Schedule
Full-time position.
Company Information
Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.