Lead Robotics AI EngineerRethink recruit • San Francisco, CA, United States
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Lead Robotics AI Engineer
Rethink recruit • San Francisco, CA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]M.S. or Ph.D. in Robotics, Computer Vision, Machine Learning , or a related field - or equivalent experience 4+ years of hands-on experience developing and deploying AI solutions in robotics (manipulation, navigation, or similar) Deep expertise in computer vision, machine learning, deep learning, or reinforcement learning Familiarity with techniques like VLMs, deep RL, and imitation learning Proficient in Python and modern frameworks such as PyTorch Comfortable working autonomously and taking ownership in fast-paced environments Strong analytical, debugging, and problem-solving skills Must be legally authorized to work in the U.S. Tackle some of the hardest problems in robotics with climate-impacting outcomes Join a deeply technical founding team and grow into key leadership roles Competitive salary, equity, and full health / vision / dental coverage Build the future of physical AI for a sustainable planet
Gritt Robotics is building physical AI systems that automate the construction of renewable energy infrastructure - dramatically accelerating the global transition to clean energy. Founded by experts from Carnegie Mellon, MIT, and Stanford, and backed by top-tier VCs (early investors in Uber, Notion, and Lyft), Gritt is at the forefront of climate-impact robotics innovation.
We are looking for a Lead Robotics AI Engineer to join our early team and play a foundational role in developing intelligent, autonomous robots that operate in complex, unstructured outdoor environments. This role is ideal for someone passionate about robotics, eager to work hands-on, and ready to lead technical development in a high-impact, mission-driven startup.
What You'll Do
- Design, develop, and deploy state-of-the-art AI systems for robotic manipulation and navigation
- Drive AI architecture decisions in perception, planning, and control
- Build and optimize simulation-driven training and validation pipelines
- Work across sensor modalities including vision, LIDAR, and tactile sensing
- Improve model performance in challenging outdoor conditions and on real hardware
- Optimize training and inference for GPU environments
- Collaborate with cross-functional engineering teams and grow into leadership roles
What We're Looking For
Why Gritt
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