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.