Machine learning engineer; Robotics

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 engineer(s) to join our founding team in advancing robot manipulation capabilities. This is a full‑time on‑site role in Santa Clara, CA.

• Design, implement, test, and deploy state‑of‑the‑art learning‑based manipulation, navigation, and 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.

• 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 experience are a plus.
• Proficient with deep learning libraries such as PyTorch, Tensor Flow, or Jax.
• Experience with real robot experiments.
• Experience with robot simulators such as Isaac Gym, Isaac Sim, SAPIEN, Mu Jo Co , Drake, etc.
• Experience 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.

• 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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