Backed by General Catalyst, Khosla and Sequoia.
About the role
- Deploy and debug learned policies on physical robots, diagnosing failures across the full stack (perception, policy, control, hardware). - Train and tune policies, curate data, and iterate to improve real-world performance.
What they're looking for
- - Founded or worked at an early-stage robotics or AV company
- - PhD in relevant field
- - Intuition for policy training, neural network debugging, and data curation
- - Experience with robot manipulation platforms
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records
More about this role
Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.
The Deployments team is responsible for solving real world problems with our models and robots. We tackle the full problem space: integrating with customer workflows, training models to solve their dexterous tasks, and ensuring the on-site reliability of the system. This breadth of problem space is why we’re a full-stack robotics team - whether it’s thinking about customer facing experiences or fine-tuning models for tasks no robot has done before, we put forth the best solution Pi has to offer.
- Deploy and debug learned policies on physical robots, diagnosing failures across the full stack (perception, policy, control, hardware).
- Train and tune policies, curate data, and iterate to improve real-world performance.
- Write production-quality code that interfaces with Pi’s infrastructure.
- Work with operators to set up tests, evals, and data collection pipelines.
- Engage with partners to...
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