Applied Researcher

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 by translating research advances into deployable systems and surfacing real-world failure modes to researchers and engineers
• Define and shape a vision for long-term real-world deployments

Requirements

• Hands-on experience deploying robots or autonomous systems in real-world environments
• Strong Python engineering skills and ability to interface with infrastructure
• Ability to debug the full stack from perception to control
• Practical mindset motivated by making things work in production
• Clear communication with researchers, operators, and partners

Preferred Qualifications

• Founded or worked at an early-stage robotics or AV company
• PhD in a relevant field
• Intuition for policy training, neural network debugging, and data curation
• Experience with robot manipulation platforms

About the Company

Physical Intelligence is bringing general-purpose AI into the physical world. The company develops foundation models and learning algorithms to power robots and physically-actuated devices. The Deployments team integrates with customer workflows, trains models for dexterous tasks, and ensures on-site reliability.