AI Engineer (RL & WBC)
Foundation RoboticsSan Francisco, California, United States
Posted March 10, 2026
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. Your previous experience in robotics isn't a prerequisite — it's your talent and determination that truly count.
Requirements
- 2+ years of experience in machine learning (NNs, LVMs) and reinforcement learning applied to robotics or similar realtime environments.
- Hands-on experience with physics simulation environments (e.g., MuJoCo, Isaac Lab).
- Proficiency in Python and C++ for algorithm development and deployment.
- Experience with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).
- Familiarity with ROS/ROS2 and real-time robotic systems.
- strong software development experience, including CI/CD, unit testing, etc.
- Strong understanding of classical and modern control theory, locomotion dynamics, etc.
- Experience deploying RL algorithms on physical robots.
- Experience with high-performance computing for distributed training.
- Contributions to open-source RL, ML or robotics projects.
- M.Sc. or Ph.D. in Robotics, Computer Science, Mechanical Engineering, or a related field.
Benefits
- market standard benefits (health, vision, dental, 401k, etc.)