Gritt Robotics Inc
Robot Learning Engineer
South San Francisco · On-site · Full-time · Posted Sep 29, 2025
- Experience
- 4+ years of hands-on experience developing AI-driven solutions for robotics applications.
- Education
- M.S/Ph.D degree in robotics, vision, computer science, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience).
- Visa sponsorship
- Legally authorized to work in the United States.
About the job
Develop and deploy AI models and data infrastructure that enable robots to perform manipulation and navigation in dynamic outdoor environments.
What you'll do
- Develop and deploy physical AI models for manipulation and navigation, with emphasis on real-world deployment.
- Research techniques including reinforcement learning, imitation learning, video-action and world models, and approaches for training large robotics models.
- Build and improve real/sim data pipelines and training and validation infrastructure using multimodal data.
What they ask for
- 4+ years of hands-on experience developing AI-driven robotics solutions, such as manipulation and navigation.
- Extensive experience in computer vision, machine learning, reinforcement learning, or another relevant AI area, demonstrated through industry experience or publications.
- Experience with VLAs, deep RL, imitation learning, diffusion, or world models.
- Extensive experience with Python and common frameworks such as PyTorch.
Tools
Python, PyTorch, RL, imitation learning, video-action, world models, VLAs, diffusion
AI focus
Build and deploy physical AI for robotic manipulation and navigation; research RL, imitation learning, video-action and world models; develop training approaches for large robotics models.
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