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Dexmate
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Machine learning engineer (Robotics)

Dexmate · Santa Clara, CA

Actively hiring Posted 4 months ago

Company Description
We are an early-stage robotics startup working on building multi-purpose mobile robots that can do complex manipulation tasks. We are looking for a creative, skilled, and motivated engineers to join our founding team in advancing robot manipulation capabilities. This is a full-time on-site role in Santa Clara, CA.

Responsibilities

  • Design, implement, test, and deploy state-of-the-art learning-based manipulation/navigation/control algorithms on real robots.
  • Build and ship reliable and high-quality software for robots.
  • Work with other teams to develop a diverse set of robust manipulation skills for robots.

Qualifications

  • Graduate degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience.
  • Passionate about working with robots and building robot products.
  • Excellent analytical and problem-solving skills
  • Outstanding research/engineering skills for rapid research prototyping, open-source code release, or product development.
  • Proficient with Python; C++ and CUDA experiences are a plus.
  • Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax.
  • Experience with real robot experiments.
  • Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc.
  • Experienced with robot learning techniques (reinforcement learning, imitation learning, etc.)
  • A track record of research excellence with your work published in top conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc.

Bonus Qualifications

  • Hands-on experience with robot learning algorithm development, training foundation models, LLM, and large generative models is a plus.
  • Hands-on experience with real robot arms/hands/legs is a plus.
  • Deep knowledge of robotics (kinematics, dynamics, control, SLAM, etc.) is a plus.
  • Experience with deploying AI models onto NVIDIA Jetson/DRIVE embedded systems is a plus.

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Fulltime Machine Learning Robotics Ai
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