6 months ago
Santa Clara, CA, USAMid Level / Senior
H1B Sponsor
Responsibilities
- Design and implement reinforcement learning algorithms for various robotics tasks.
- Develop and optimize RL training pipelines in both simulation and real-world environments.
- Collaborate with robotics engineers to integrate RL models into production systems.
- Conduct experiments to evaluate and improve algorithm performance.
- Scale training infrastructure for efficient learning across multiple robots.
Requirements
- Strong experience with reinforcement learning (PPO, SAC, TD3, DDPG, etc.).
- Hands-on experience with robotics systems (simulation or real robots).
- Proven track record applying RL to manipulation, locomotion, or navigation tasks.
- Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).
- Strong understanding of robot kinematics, dynamics, and control.
- Experience with GPU-based simulation such as Isaac Gym, Isaac Lab, SAPIEN, etc.