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# Founding Software Engineer

- **Company:** Clera
- **Location:** München, Germany
- **Experience:** Experienced
- **Salary:** €100,000.0 - €170,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Infrastructure, Software Debugging, Programming Tools, Distributed Systems, Firmware, Hardware Design, Software Systems, Systems Integration, TypeScript, Integration Frameworks, Machine Learning Operations, Asynchronous Programming
- **Published:** September 25, 2026
- **Apply:** https://www.careerjet.de/jobad/de9eab392cd4c4d7484f772c3b1d90c894

## About the Role

3 or more years building 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 designing data infrastructure that captures state, events, and provenance at scale.
Experience building orchestration or scheduling systems that coordinate multiple concurrent processes or devices.
Experience debugging and integrating across hardware, firmware, and software layers in production systems.
Experience building developer tooling, SDKs, or APIs for integration workflows.
High agency and comfort operating in ambiguous, fast-moving early-stage environments.
Experience with robotics, hardware integration, lab automation, embedded systems, or ML infrastructure is a strong plus.

## Description

This is an early-stage opportunity to help build a new category of software at the intersection of AI, robotics, and physical laboratory systems. You will own critical infrastructure spanning experiment orchestration, agent connectivity, and distributed coordination, and will have a direct hand in shaping the technical foundation of the product from day one.
What You'll Do
Build experiment orchestration systems that schedule and coordinate work across distributed lab environments.
Connect AI agents to real-world experiments and instruments through robust, reliable 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 through to hardware and physical systems.


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