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.
Salary not listed
On-siteEmbedded Engineering
About the role
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.
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