This is a software and systems role first. Robotics experience is not required, and we’re particularly excited about people who have built developer platforms, model APIs, or infrastructure products outside of robotics.

Build Pi’s model API end to end, including data ingestion, fine-tuning, evaluation, low-latency remote inference, partner-facing tools, and deployment integrations.

Design systems that can scale from a small number of deeply integrated partners to thousands of organizations and potentially millions of robots.

Architect reliable, multi-tenant infrastructure around rate limiting, isolation, backpressure, versioning, observability, and SLOs.

Turn partner data into a first-class product experience, from initial upload through validation, processing, fine-tuning, and evaluation.

Build and operate low-latency inference systems that allow Pi models to control robots running in real-world environments.

Work closely with researchers to turn new model capabilities into stable, usable product surfaces.

Learn from how partners use the platform and turn recurring friction into better APIs, tooling, documentation, and abstractions.

Write high-quality production code that integrates deeply with Pi’s existing infrastructure.

Define what the developer platform for general-purpose robotics should look like. There is no established playbook for this yet.

What We Hope You'll Bring

Strong software engineering fundamentals and experience building production systems.

ML Engineer, Platform

Responsibilities

Qualification

Preferred

Company

Physicalintelligence

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