Controls & Reinforcement Learning Engineer
Foundation RoboticsSan Francisco, California, United States
Posted February 24, 2026
150000 - 280000 USD
Full Time
About the Company
Foundation Robotics is pioneering general‑purpose robots designed to tackle the global labor shortage. The company focuses on creating autonomous machines capable of operating in complex, hazardous environments—from construction sites to conflict zones—while reducing human exposure to risk. By integrating advanced perception, manipulation, and AI decision‑making, Foundation Robotics enhances productivity in labor‑intensive sectors such as manufacturing, logistics, and disaster response. Its commitment to safety‑first design and versatile platform architecture sets it apart in the robotics industry.
Job Description
Foundation is developing the future of general purpose robotics with the goal to address the labor shortage. We are on the lookout for extraordinary engineers and scientists to join our team.
Requirements
- Strong foundation in both classical control theory and modern RL — you're comfortable reasoning about stability and dynamics as well as policy optimization
- Hands-on experience deploying learned policies on physical hardware, not just in simulation
- Proficiency in Python and C++; familiarity with ROS/ROS2 and real-time systems
- Experience with physics simulators (MuJoCo, Isaac Lab, or similar) and deep learning frameworks (PyTorch, JAX)
- High agency and comfort operating independently in an early-stage environment — you define the problem as much as you solve it
Benefits
- market standard benefits (health, vision, dental, 401k, etc.)
