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.
Job description provided by Clera.
View the original posting