Member of Technical Staff, Robotics
Designs, builds, and deploys robot learning systems from simulation to real hardware, spanning manipulation, locomotion, and control. Requires Python, PyTorch/JAX expertise, and full-stack robotics experience including classical and learning-based methods.
About the job
Responsibilities
- Design, build, and deploy real world robot learning systems across manipulation, locomotion, and control.
- Own systems end to end, from simulation and model training to deployment on real robots.
- Define technical foundations for large scale robot learning.
Requirements
Baseline skills:
- Bachelor's degree or equivalent experience in Robotics, Computer Science, or related field.
- Strong experience with Python and modern deep learning frameworks such as PyTorch or JAX.
- Full stack experience across robot learning, including data processing, model training, and deployment.
- Experience designing, implementing, and deploying robot learning systems in research or production environments.
- Strong understanding of classical robotics techniques and learning-based approaches.
You might be a good fit if you:
- Can take a robotics system from 0 to 1 and iterate quickly based on real world feedback.
- Have hands-on experience in robot manipulation, locomotion, navigation algorithms, imitation learning, generative modeling, and/or reinforcement learning.
- Comfortable working across simulation and real hardware, including high degrees of freedom manipulators and mobile robots.
- Obsessed with state-of-the-art techniques, tools, and research.
- Thrive in fast-paced, ambiguous environments.
Skills
Python, PyTorch, JAX, Robot Manipulation, Locomotion, Reinforcement Learning, Imitation Learning, Generative Modeling, Robotics Simulation, Robot Deployment
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