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 coordinating experiments, devices, and distributed workflows, helping establish a new category of software for physical systems.
What You'll Do
Build orchestration systems that schedule and coordinate experiments across distributed labs.
Develop robust infrastructure connecting AI agents with experiments and laboratory instruments.
Design data systems that capture state, actions, measurements, failures, and provenance.
Architect distributed systems that coordinate software, devices, and experiments reliably.
Create developer tools and APIs 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 professional experience building production-grade software systems end to end.
Strong proficiency in Python or Rust, with a track record of building production backend or distributed systems.
Experience designing distributed systems involving APIs, networking, and asynchronous communication.
Early-stage startup engineering experience and the ability to take ownership in an ambiguous environment.
Systems-level debugging skills, ideally across hardware, firmware, and software.
Experience with robotics, physical AI, agent systems, lab automation, ML infrastructure, data infrastructure, orchestration, or developer tooling is beneficial.
No biology experience is required.
Compensation & Benefits
Salary range: $100,000 to $250,000 USD annually. Visa sponsorship is not available.
Location
On-site in Munich, Germany.