Stellendetails

ABOUT THE ROLE

Join an early-stage AI and robotics company building software that connects AI agents with real-world laboratory systems. You will own core infrastructure for coordinating experiments, devices, and distributed workflows, helping establish a new category of software for physical systems.

WHAT YOU'LL DO

- Build orchestration systems that schedule and coordinate experiments across distributed labs.

- Develop robust infrastructure connecting AI agents with experiments and laboratory instruments.

- Design data systems that capture state, actions, measurements, failures, and provenance.

- Architect distributed systems that coordinate software, devices, and experiments reliably.

- Create developer tools and APIs for new workflows and integrations.

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

WHAT WE'RE LOOKING FOR

- At least 3 years of professional experience building production-grade software systems end to end.

- Strong proficiency in Python or Rust, with a track record of building production backend or distributed systems.

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

- Early-stage startup engineering experience and the ability to take ownership in an ambiguous environment.

- Systems-level debugging skills, ideally across hardware, firmware, and software.

- Experience with robotics, physical AI, agent systems, lab automation, ML infrastructure, data infrastructure, orchestration, or developer tooling is beneficial.

- No biology experience is required.

COMPENSATION & BENEFITS

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

LOCATION

On-site in Munich, Germany.