About the Role
We're a seed-stage deeptech startup accelerating the discovery of new materials through physics-informed AI, robotics, and real-world experimental data — with a focus on the energy sector and other critical industries. Our software is the coordination layer between scientific intent and physical execution, and we treat infrastructure as a first-class product.
As a Software Engineer, Infrastructure, you'll build and maintain the systems that connect AI models, automated experiments, and robotic platforms. Your work directly shapes scientific outcomes — reliability, observability, and usability aren't afterthoughts here, they're core product priorities. This is an on-site role based in Berlin, Germany.
Please note: visa sponsorship is not available for this position.
What You'll Do
- Build backend services in Python (FastAPI, Pydantic) to orchestrate real scientific workflows.
- Develop data pipelines that convert raw experimental output into actionable signals.
- Create internal dashboards and interfaces (React, TypeScript, Tailwind, Streamlit) used daily by scientists and engineers.
- Maintain containerized environments and CI/CD pipelines to keep systems running smoothly.
- Improve observability so teams understand system state proactively — before users notice problems.
- Drive reliability improvements grounded in real failure modes and production experience.
- Support job orchestration and ML systems, including integration with SLURM-based simulation clusters.
- Collaborate closely with cross-functional teams of scientists and engineers.
What We're Looking For
Required:
- 2–5 years of software engineering experience with solid Python fundamentals.
- Experience with containerized applications and foundational DevOps practices (CI/CD, Docker, etc.).
- Comfort working across the stack and a willingness to dig into unfamiliar territory.
- Excellent written and verbal communication skills — you'll work daily with both scientists and engineers.
- A habit of writing clean, maintainable, well-documented code.
- English fluency; additional languages are a plus.
Nice to Have:
- Exposure to scientific computing, ML infrastructure, or data-intensive systems.
- Familiarity with SLURM or HPC environments.
- Experience with React / TypeScript front-end development.
- Background or strong interest in deeptech, cleantech, or materials science domains.
Location
This is a full-time, on-site position based in Berlin, Germany. Candidates must be eligible to work in Germany without visa sponsorship.
Compensation & Benefits
Compensation details will be discussed during the interview process. You'll be joining a small, high-impact team at an early stage — with meaningful scope, close collaboration with scientists and technical leaders, and the opportunity to shape infrastructure that drives real-world discovery.
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