Overview
ABOUT THE ROLE
Full job description
ABOUT THE ROLE This 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 DO
- Build 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 FOR
- 3 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 & BENEFITS Salary range: $100,000 to $200,000 USD annually. Visa sponsorship is not available. LOCATION On-site or hybrid in Munich, Germany (primary location), Zurich, Switzerland, or San Francisco, United States.
Tips for this job
Practical JobOpportunity guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
laptop-ats-crawler v3
JobOpportunity is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Apply through JobOpportunity →