About the role
ABOUT THE ROLE
Join an early-stage AI company building software that connects AI agents with real-world laboratory systems. You will own critical infrastructure for coordinating experiments, connecting agents and instruments, and capturing reliable data across physical and software systems.
WHAT YOU'LL DO
- Build systems that schedule and coordinate experiments across distributed laboratories.
- Connect AI agents to experiments and instruments through robust agent infrastructure.
- Design data infrastructure to capture system state, actions, measurements, failures, and provenance.
- Architect distributed systems that reliably coordinate software, devices, and experiments.
- Develop APIs and developer tools 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 experience building production-grade software systems end to end.
- Strong proficiency in Python or Rust, with solid software engineering fundamentals.
- Production backend or distributed-systems experience, including APIs, networking, and asynchronous communication.
- Experience building software as an engineer at an early-stage startup.
- Ability to take ownership in ambiguous environments and debug across software and hardware layers.
- Experience with robotics, physical AI, hardware integration, lab automation, embedded systems, ML infrastructure, data infrastructure, or orchestration systems 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, Germany. Other listed work locations include Zurich, Switzerland, and San Francisco, United States.
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