In This Role You Will

- 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

What We Hope You'll Bring

- 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

Bonus Points If You 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