About Physical Intelligence, Inc.

Marketing, IT, Finance, Sales, Operations, HR Jobs at Physical Intelligence

Headquartered in San Francisco, California, Physical Intelligence (π) is an artificial intelligence company developing foundation models and learning algorithms designed to serve as a universal software layer for robots and physically actuated devices, enabling machines to perform complex, dexterous tasks such as folding laundry, preparing food, and assembling products. Founded in 2024 by Sergey Levine (UC Berkeley associate professor), Chelsea Finn (Stanford professor), Karol Hausman (former Google DeepMind researcher), Lachy Groom (former Stripe executive), and a team of roboticists and engineers, the company has raised over one billion dollars in venture funding from investors including Khosla Ventures, Sequoia Capital, Lux Capital, Thrive Capital, OpenAI, and Jeff Bezos, achieving a valuation of approximately 5.6 billion dollars . Physical Intelligence maintains a workforce of approximately 80 employees, operating from its headquarters in San Francisco’s Mission District, with a research-driven culture that emphasizes cross-embodiment learning and the development of general-purpose robotic intelligence rather than near-term commercialization . The organization structures its teams across key departments including Machine Learning Research, Robotics Engineering, Software Engineering, and Operations, with leadership spanning academic research, deep learning, and robotics hardware integration . Given its focus on foundational model development and scaling data collection across diverse robotic platforms, the highest concentration of job opportunities is typically found within the Machine Learning Research and Robotics Engineering departments--particularly in roles involving foundation models, reinforcement learning, and robotic manipulation--with additional positions occasionally available in Software Engineering and Operations. Below is a list of the latest job openings at Physical Intelligence, where working means contributing to the development of the foundational intelligence that will power the next generation of autonomous machines and bring general-purpose AI into the physical world.