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.