Stellendetails

ABOUT THE ROLE

Join an early-stage engineering team building software that connects AI agents with real-world laboratory systems. You will own critical infrastructure for experiment orchestration, agent connectivity, and distributed coordination, helping shape a new category of software across digital and physical systems.

WHAT YOU'LL DO

- Build systems to schedule and coordinate experiments across distributed labs.

- Connect AI agents to experiments and instruments through reliable infrastructure.

- Develop data systems that capture 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

- Three or more years of experience building production-grade software systems end to end.

- Strong proficiency in Python or Rust, with familiarity across Rust or TypeScript systems development.

- Experience designing distributed systems, APIs, networking, and asynchronous communication patterns.

- Experience as an engineer in an early-stage startup and comfort taking ownership in ambiguous environments.

- Background in robotics, hardware integration, lab automation, embedded systems, AI agents, or ML infrastructure is valuable.

- Ability to debug across hardware, firmware, and software layers is a plus. Biology experience is not required.

COMPENSATION & BENEFITS

Base salary: $100,000 to $250,000 USD annually. Visa sponsorship is not available.

LOCATION

On-site in Munich, Bavaria, Germany.