About the Role
Join an early-stage team building software that connects AI agents with real-world laboratory systems. You will own core infrastructure for coordinating experiments, connecting agents and instruments, and managing distributed workflows across software and physical systems.
What You'll Do
Build systems to schedule and coordinate experiments across distributed labs.
Develop reliable infrastructure that connects 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.
Create developer tools and APIs for new workflows and integrations.
Debug and optimize across software, hardware, and physical systems.
What We're Looking For
Typically 3 to 8 years of experience, including at least 3 years building production-grade software systems end to end.
Strong proficiency in Python or Rust, with experience in Rust or TypeScript relevant to the role.
Demonstrated experience designing distributed systems, including APIs, networking, and asynchronous communication.
Experience as an engineer at an early-stage startup and comfort taking ownership in ambiguous environments.
Experience with ML infrastructure or production ML systems is valuable.
Experience with robotics, physical AI, agents, lab automation, embedded systems, developer tooling, or data infrastructure is a plus.
Biology experience is not required.
Compensation & Benefits
Salary range: $100,000 to $200,000 USD annually. Visa sponsorship is not available.
Location
On-site in Munich, Bavaria, Germany.