About the Role
Join an early-stage team building software that connects AI agents with real-world laboratory systems. You will own core infrastructure for coordinating experiments, connecting agents and instruments, and managing distributed workflows across software and physical systems.
What You'll Do
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Build systems to schedule and coordinate experiments across distributed labs.
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Develop reliable infrastructure that connects 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.
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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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Typically 3 to 8 years of experience, including at least 3 years building production-grade software systems end to end.
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Strong proficiency in Python or Rust, with experience in Rust or TypeScript relevant to the role.
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Demonstrated experience designing distributed systems, including APIs, networking, and asynchronous communication.
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Experience as an engineer at an early-stage startup and comfort taking ownership in ambiguous environments.
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Experience with ML infrastructure or production ML systems is valuable.
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Experience with robotics, physical AI, agents, lab automation, embedded systems, developer tooling, or data infrastructure is a plus.
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Biology experience is not required.
Compensation & Benefits
Salary range: $100,000 to $200,000 USD annually. Visa sponsorship is not available.
Location
On-site in Munich, Bavaria, Germany.
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