About the role
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.