Lead AI Research Engineer, Embodied Systems

Responsibilities

• Lead and own the engineering of embodied systems including onboard AI, data collection, teleoperation, and on-robot reinforcement learning
• Set technical direction and architecture for learned model execution and evaluation on real robots
• Deliver end-to-end systems on physical robots from bring-up to real-time operation
• Own on-robot deployment and closed-loop evaluation of policies
• Partner with robotics software and ML research teams to align interfaces and priorities
• Mentor engineers and raise the technical bar for embodied systems work

Requirements

• Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, or related field
• Track record of leading complex robotic or embodied systems end-to-end
• Strong proficiency in C++ and Python
• Solid systems programming and real-time/performance-critical engineering skills
• Hands-on experience with ROS/ROS2 and robot middleware
• Experience integrating and deploying ML models into real-time robotic or autonomous systems
• Ability to work in-office 5 days a week

Preferred Qualifications

• Experience with teleoperation and data-collection systems (e.g., VR, UR, GELLO, UMI)
• Experience with on-robot reinforcement learning or closed-loop policy-improvement systems
• Familiarity with robot learning policies (VLA, imitation learning, behavior cloning)
• Familiarity with manipulation stacks, whole-body control interfaces, or real-time middleware tuning

Benefits

• Competitive stock options/equity programs
• Health, dental, and vision insurance
• 401(k) plan
• Visa sponsorship and green card support
• Lunches, dinners, and a fully stocked kitchen
• Regular team-building events

About the Company

RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.