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EmploymentFull-time
Overview
ABOUT THE ROLE
Full job description
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.
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