XX
Machine learning engineer (Robotics)DexmateUnited States
XX

Machine learning engineer (Robotics)

Dexmate
  • +2
  • +5
  • US
    United States
  • +2
  • +5
  • US
    United States

Über

Job Opportunity At Robotics Startup
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 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.

Wünschenswerte Fähigkeiten

  • C++
  • CUDA
  • PyTorch
  • Python
  • TensorFlow
  • United States

Berufserfahrung

  • Embedded
  • Machine Learning

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.