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.