Member of Technical Staff, Robotics Infrastructure

What You’ll Do

Robotics Infrastructure engineers own the systems that get models running on robots and measure how well they work. Sample projects include:

• deploying and running learned robot policies (VLAs, imitation learning, DAgger) on real hardware, including inference setup, on-robot tuning, and failure diagnosis
• designing and building evaluation frameworks that benchmark policy performance on physical robots, with metric definition, result aggregation, and partner-facing reporting
• building the product that lets partners configure, launch, and monitor evaluation runs and model deployments
• building orchestration systems that schedule evaluation runs and model deployments across robot stations
• integrating LLMs and foundation models into robot workflows for task specification, error recovery, or high-level planning
• containerizing and packaging robot-side software stacks so new stations and deployments can be brought online quickly and consistently
• bridging on-robot systems with cloud-side compute, storage, and orchestration

About You

Baseline skills

• bachelor’s degree or equivalent experience in Computer Science, Robotics, or a related field
• 3+ years of industry experience in software engineering, with exposure to robotics or ML deployment
• strong Python skills and comfort working in Linux environments
• experience deploying ML models to real systems, not just training them
• familiarity with containerization (Docker) and building reproducible deployment workflows

You might be a good fit if you

• have deployed imitation learning, reinforcement learning, or VLA policies on physical robots
• have built evaluation or benchmarking infrastructure for robotic systems or ML models
• have experience with DAgger or other interactive data collection and policy refinement loops
• have experience with ROS/ROS2 and understand robotics middleware at the integration level
• have built product features or partner-facing tools on top of technical infrastructure
• are very comfortable working in 0>1 environments
• are mission-driven and passionate about robotics: work at XDOF is fast-paced and constant. We hope you love what you’re going to be doing, because you’ll be doing a lot of it!