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 experiment orchestration, agent connectivity, and coordination across software and physical systems.
What You'll Do
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Build systems to schedule and coordinate experiments across distributed laboratory environments.
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Connect AI agents to experiments and instruments through reliable infrastructure.
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Develop data systems that capture system state, actions, measurements, failures, and provenance.
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Design 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 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.
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Strong proficiency in Python or Rust, with solid engineering fundamentals.
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Experience designing distributed systems, APIs, networking, and asynchronous communication patterns.
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Experience building software at an early-stage startup and taking ownership in an ambiguous environment.
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Background in robotics, physical AI, hardware integration, lab automation, embedded systems, AI agents, or ML infrastructure is valuable.
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Ability to integrate and debug across hardware, firmware, and software layers.
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Biology experience is not required.
Compensation & Benefits
Base salary: $100,000 to $250,000 USD annually. Visa sponsorship is not available.
Location
On-site in Munich, Germany.
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