About the Role
Join an early-stage AI company building software that connects AI agents with real-world laboratory systems. You will own foundational infrastructure for experiment orchestration, agent connectivity, and distributed coordination across software and physical systems.
What You'll Do
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Build systems that schedule and coordinate experiments across distributed labs.
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Connect AI agents to experiments and instruments through reliable infrastructure.
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Develop data infrastructure that captures system state, actions, measurements, failures, and provenance.
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Design distributed systems to coordinate software, devices, and experiments reliably at scale.
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Create developer tools and APIs for new workflows and integrations.
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Debug and optimize across software, hardware, and physical systems.
What We're Looking For
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At least 3 years of experience building production-grade software systems end to end, typically within a 3 to 8 year experience range.
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Strong Python or Rust skills and a background building production backend or distributed systems at an early-stage startup.
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Experience designing distributed systems involving APIs, networking, and asynchronous communication.
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Strong software engineering fundamentals, high ownership, and comfort working through ambiguity.
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Experience with robotics, hardware integration, physical AI, lab automation, embedded systems, ML infrastructure, or production ML systems is a plus.
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Experience debugging across hardware, firmware, and software, or building data infrastructure, orchestration systems, developer tools, SDKs, or integration APIs is also valuable.
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Biology experience is not required.
Compensation & Benefits
Salary range: $100,000 to $250,000 USD annually. Visa sponsorship is not available.
Location
On-site in Munich, Bavaria, Germany. The role may also be based in Zurich, Switzerland, or San Francisco, United States.
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