Senior Robotics Software Engineer, Agility Robotics

• You have a BS, MS, or PhD in Computer Science, Robotics, or a related field
• You have 5+ years of professional experience building systems for imitation learning, from the teleoperation interface to deploying policies on physical hardware
• You write modern Python code and have strong software fundamentals
• You care about system performance and reliability, and know how to build evaluation pipelines
• You are hands-on and passionate about seeing your work running on real robots, in the real world, in production, not just in sim or in isolation

Desirable

• We’re looking for an experienced engineer to lead the post-training lifecycle of learned skill policies
• In this role, you’ll work closely with our Skills and AI teams on bridging upstream innovation and real-world deployment
• You will be responsible for deploying and running behavior cloning models on our real-world robots
• You'll own the post-training lifecycle of our learned skill policies, including policy fine-tuning, real-world validation, integration, deployment, and performance analysis across our fleet
• Define best practices and infrastructure for evaluating, curating, and integrating learned skill policies
• Drive the development of data collection workflows (e.g., VR teleop, haptics), including annotation, quality control, and feedback loops with our AI team
• Set up training environments, run and evaluate training scripts, and analyze policy performance on real hardware
• Shape the long-term vision for RL policy integration in production