The advert
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.
How to apply
- Check how well your resume fits: “Analyse this for me” shows what matches and what is missing.
- Tailor your resume: “Resume for this vacancy” writes a version for this job.
- Apply on the original advert: the button below opens it.
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