Dexmate
Robot learning engineer
Santa Clara Office · Junior
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About the role
- 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.
Responsibilities
- Build diverse, robust manipulation skills that push the boundaries of what robots can do
- Collaborate closely with hardware, controls, and systems engineers to create integrated solutions
- If you want to help shape the next layer of human capability - and believe the future of robotics should be built together, not in isolation - we'd love to build it with you.
Requirements
- OR Master's degree with 1+ years industry experience
- OR Bachelor's degree with 3+ years industry experience
- Proven experience conducting real robot experiments and debugging complex robotic systems
- PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related field; OR Master's degree with 1+ years industry experience; OR Bachelor's degree with 3+ years industry experience
- 2+ years of hands-on experience developing AI systems for robotics applications
- Deep expertise in modern robot learning techniques (reinforcement learning, imitation learning, behavior cloning, etc.)
- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX)
- Experience with robot simulators (Isaac Gym, Isaac Sim, MuJoCo, SAPIEN, Drake, or similar)
- Excellent problem-solving abilities and strong communication skills
- Genuine passion for robotics and building products that work in the real world
Nice to have
- Publications at top robotics/ML conferences (RSS, CoRL, ICRA, IROS, NeurIPS, ICLR, etc.)
- Familiarity with sim-to-real transfer techniques and domain randomization
- Experience with distributed training and MLOps infrastructure
- Background in manipulation, grasping, or mobile manipulation
- Track record of taking research from prototype to production
Benefits
- Develop novel approaches to enhance robot dexterity and mobility using reinforcement learning, imitation learning, and foundation models, etc.
Company info
- Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI.
- 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.
This listing is sourced directly from Dexmate's careers page and normalized into a canonical job model.