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Dexmate

Robot type
Humanoid
Location
FremontCaliforniaUSA
Job type
Artificial Intelligence
Posted
Jan 19, 2026
Salary
$120,000–$300,000 a year
Full-time

Reinforcement learning engineer

Job description

We're seeking Reinforcement Learning experts to develop and deploy cutting-edge RL algorithms that enhance our robots' capabilities.

Dexmate is building the foundation for physical AI — a unified platform that combines high-quality robotic hardware with a universal Physical AI OS, making robots as easy to build and deploy as software. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage. We exist to change that.

Job 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

Job 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.
  • Experience with distributed RL training systems
  • Experience with sim-to-real transfer techniques
Apply on Dexmate websiteSave

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