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 experiment orchestration, agent connectivity, and coordination across software and physical systems.

WHAT YOU'LL DO

- Build systems to schedule and coordinate experiments across distributed laboratory environments.

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

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

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

- 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.

- Strong proficiency in Python or Rust, with solid engineering fundamentals.

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

- Experience building software at an early-stage startup and taking ownership in an ambiguous environment.

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

- Ability to integrate and debug across hardware, firmware, and software layers.

- 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, Germany.