Summary
✨ AI‑Generated
Join an early-stage technology venture as a founding software engineer and take ownership of critical infrastructure connecting AI agents with real-world physical systems. You will build experiment orchestration, distributed coordination, data infrastructure, APIs, and developer tooling while solving challenging problems at the intersection of software, AI, robotics, and laboratory automation.
Highlights
Founding engineering opportunity with broad ownership across AI infrastructure, distributed systems, robotics, and laboratory automation. Offers the chance to shape a new product category, build core infrastructure from an early stage, and work across software and physical systems.
Description
About The Role
This is a founding engineering role at an early-stage AI infrastructure company building software that connects AI agents to real-world laboratory systems.
You will own critical infrastructure spanning experiment orchestration, agent connectivity, and distributed coordination, working at the intersection of software, robotics, and physical systems.
Joining at the earliest stage, you will help define and build an entirely new product category.
What You'll Do
Build experiment orchestration systems that schedule and coordinate experiments across distributed labs.
Connect AI agents to real-world instruments and experiments through robust agent infrastructure.
Design and implement data infrastructure to capture state, actions, measurements, failures, and provenance.
Architect distributed systems that reliably coordinate software, devices, and experiments at scale.
Develop developer tooling and APIs to accelerate new workflows and integrations.
Debug and optimize across the full stack, from software to hardware to physical systems.
What We're Looking For
3 or more years building complex, production-grade software systems end-to-end.
Strong proficiency in Rust or TypeScript.
Deep understanding of distributed systems, APIs, networking, and asynchronous programming.
Demonstrated experience building orchestration or scheduling systems that coordinate multiple concurrent processes or devices.
Experience building data infrastructure systems that capture state, events, and provenance at scale.
Experience building developer tooling, SDKs, or APIs for integration workflows.
Comfortable debugging and integrating across hardware, firmware, and software layers in production.
High agency and ownership in ambiguous, early-stage environments.
Experience with robotics, hardware integration, lab automation, embedded systems, or ML infrastructure is a strong plus.
No biology experience required.
Compensation & Benefits
Salary range: $100,000 to $200,000 USD annually, plus equity.
Visa sponsorship is not available.
Location
On-site in Munich, Germany (primary), with additional offices in Zurich, Switzerland and San Francisco, USA.
