About the Role
Join an early-stage AI company building software that connects AI agents with real-world laboratory systems. You will own critical infrastructure for coordinating experiments, connecting agents and instruments, and capturing reliable data across physical and software systems.
What You'll Do
Build systems that schedule and coordinate experiments across distributed laboratories.
Connect AI agents to experiments and instruments through robust agent infrastructure.
Design data infrastructure to capture system state, actions, measurements, failures, and provenance.
Architect distributed systems that reliably coordinate software, devices, and experiments.
Develop APIs and developer tools for new workflows and integrations.
Debug and optimize systems across software, hardware, and physical environments.
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 software engineering fundamentals.
Production backend or distributed-systems experience, including APIs, networking, and asynchronous communication.
Experience building software as an engineer at an early-stage startup.
Ability to take ownership in ambiguous environments and debug across software and hardware layers.
Experience with robotics, physical AI, hardware integration, lab automation, embedded systems, ML infrastructure, data infrastructure, or orchestration systems 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, Germany. Other listed work locations include Zurich, Switzerland, and San Francisco, United States.