Applied Researcher

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.

Responsibilities

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 understand use cases and observe robots in deployment contexts; Bridge research and operations: translate research advances into deployable systems, and surface real-world failure modes back to researchers and (software and hardware!) engineers; Define and shape a vision for what real-world deployments will look like in the long-term

Requirements

Hands-on experience deploying robots or autonomous systems in real-world environments; Strong engineering skills: clean Python, ability to interface with infrastructure, debugging instincts; Ability to debug the full stack from perception to control; Practical mindset: motivated by making things work, not by open-ended research; Clear communication with researchers, operators, and occasionally partners

Nice to have

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