About the Role

Join an early-stage AI company building software that connects AI agents with real-world laboratory systems. You will own foundational infrastructure for experiment orchestration, agent connectivity, and distributed coordination across software and physical systems.

What You'll Do

Build systems that schedule and coordinate experiments across distributed labs.

Connect AI agents to experiments and instruments through reliable infrastructure.

Develop data infrastructure that captures system state, actions, measurements, failures, and provenance.

Design distributed systems to coordinate software, devices, and experiments reliably at scale.

Create developer tools and APIs for new workflows and integrations.

Debug and optimize across software, hardware, and physical systems.

What We're Looking For

At least 3 years of experience building production-grade software systems end to end, typically within a 3 to 8 year experience range.

Strong Python or Rust skills and a background building production backend or distributed systems at an early-stage startup.

Experience designing distributed systems involving APIs, networking, and asynchronous communication.

Strong software engineering fundamentals, high ownership, and comfort working through ambiguity.

Experience with robotics, hardware integration, physical AI, lab automation, embedded systems, ML infrastructure, or production ML systems is a plus.

Experience debugging across hardware, firmware, and software, or building data infrastructure, orchestration systems, developer tools, SDKs, or integration APIs is also valuable.

Biology experience is not required.

Compensation & Benefits

Salary range: $100,000 to $250,000 USD annually. Visa sponsorship is not available.

Location

On-site in Munich, Bavaria, Germany. The role may also be based in Zurich, Switzerland, or San Francisco, United States.