About this role
About the RoleThis is a founding engineering role at an early-stage AI/ML infrastructure company building software that connects AI agents to real-world laboratory systems. You will own critical infrastructure across experiment orchestration, agent connectivity, and distributed coordination, working at the intersection of software, robotics, and physical systems.
What You'll DoBuild experiment orchestration systems that schedule and coordinate experiments across distributed labs.
Connect AI agents to real-world experiments and instruments through robust agent infrastructure.
Design and implement data infrastructure to capture state, actions, measurements, failures, and provenance.
Architect distributed systems that reliably coordinate software, devices, and experiments at scale.
Develop developer tooling and APIs to accelerate new workflows and integrations.
Debug and optimize across the full stack, from software to hardware to physical systems.
What We're Looking For3 or more years building complex, production-grade software systems end-to-end.
Strong proficiency in Rust or TypeScript (Python experience is also valued).
Deep understanding of distributed systems, APIs, networking, and asynchronous programming.
Experience designing and implementing systems with asynchronous communication patterns.
Prior experience as an engineer at an early-stage startup, with high agency in ambiguous environments.
Comfort bridging physical systems and software, with the ability to debug across the full stack.
Experience with robotics, hardware integration, lab automation, embedded systems, or ML infrastructure is a strong plus.
Experience building developer tooling, SDKs, or APIs for integration workflows is a plus.
No biology background required.
Compensation & BenefitsSalary range: $100,000 to $200,000 USD annually. Visa sponsorship is not available.
LocationOn-site or hybrid in Munich, Germany (primary location), Zurich, Switzerland, or San Francisco, United States.