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
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Build orchestration systems that schedule and coordinate experiments across distributed labs.
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Develop robust infrastructure connecting AI agents with experiments and laboratory instruments.
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Design data systems that capture state, actions, measurements, failures, and provenance.
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Architect distributed systems that coordinate software, devices, and experiments reliably.
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Create developer tools and APIs for new workflows and integrations.
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Debug and optimize systems across software, hardware, and physical environments.
What We're Looking For
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At least 3 years of professional experience building production-grade software systems end to end.
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Strong proficiency in Python or Rust, with a track record of building production backend or distributed systems.
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Experience designing distributed systems involving APIs, networking, and asynchronous communication.
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Early-stage startup engineering experience and the ability to take ownership in an ambiguous environment.
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Systems-level debugging skills, ideally across hardware, firmware, and software.
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Experience with robotics, physical AI, agent systems, lab automation, ML infrastructure, data infrastructure, orchestration, or developer tooling is beneficial.
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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.
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