Robotics RL Engineer - Shape Real-World Robot Learning

Dexmate Inc.; Fremont, Northern (CA, KY); Hybrid; USD 140,000 - 230,000; Full time

Job summary

Dexmate Inc. in Fremont, CA, is building the foundation for physical AI.

We are seeking reinforcement learning experts to design and deploy cutting-edge RL algorithms that enhance our robots' capabilities. We design and implement reinforcement learning algorithms for robotics tasks, develop RL training pipelines in both simulation and real-world environments, and collaborate with robotics engineers to integrate RL models into production systems.

Qualifications

• 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.

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.

Skills

Reinforcement Learning

Python programming

Robotics systems experience

Kinematics and dynamics understanding

GPU-based simulation experience

Tools

PyTorch

TensorFlow

JAX

Isaac Gym

Isaac Lab

SAPIEN

Job description

Dexmate Inc. in Fremont, CA, is building the foundation for physical AI.

We are seeking reinforcement learning experts to design and deploy cutting-edge RL algorithms that enhance our robots' capabilities. We design and implement reinforcement learning algorithms for robotics tasks, develop RL training pipelines in both simulation and real-world environments, and collaborate with robotics engineers to integrate RL models into production systems.