Founding Software Engineer

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.

• 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.

On-site in Munich, Germany. Other listed work locations include Zurich, Switzerland, and San Francisco, United States.

• 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.

Base salary: $100,000 to $250,000 USD annually. Visa sponsorship is not available.