Robotics Infrastructure Engineer: Deploy ML on Real Robots

XDOF; San Mateo (CA); On-site; USD 170,000 - 210,000; Full time

Job summary

XDOF is building the data and tooling backbone for next‑gen robotics. We are seeking a Robotics Infrastructure Engineer to deploy and evaluate learned policies on real robots, and to ship partner‑facing deployment surfaces.

You'll own the systems that run policies on hardware, design evaluation frameworks, and integrate AI models into robotic workflows. Proficiency with Python, Linux, Docker, ROS/ROS2, and ML deployment is essential for success.

Qualifications

• Bachelor's degree in CS, robotics, or a related field.
• 3+ years of software engineering with robotics or ML deployment.
• Strong Python and Linux experience; familiarity with containerization.

Responsibilities

• Deploy learned robot policies on real hardware, including inference setup and on-robot tuning.
• Design and build evaluation frameworks to benchmark policy performance on physical robots.
• Develop product surfaces to configure, launch, and monitor evaluation runs and deployments.
• Build orchestration systems scheduling evaluation runs and deployments across robot stations.
• Integrate LLMs and foundation models into robot workflows for planning and error recovery.
• Containerize and package robot-side software stacks for rapid onboarding of new stations.
• Bridge on-robot systems with cloud compute, storage, and orchestration.

Skills

Python

Linux

Docker

ML deployment

ROS/ROS2

Education

Bachelor's degree in CS/Robotics

Tools

Docker

Job description

XDOF is building the data and tooling backbone for next‑gen robotics. We are seeking a Robotics Infrastructure Engineer to deploy and evaluate learned policies on real robots, and to ship partner‑facing deployment surfaces.

You'll own the systems that run policies on hardware, design evaluation frameworks, and integrate AI models into robotic workflows. Proficiency with Python, Linux, Docker, ROS/ROS2, and ML deployment is essential for success.