Software Engineer, Infrastructure

📋 Job Overview

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.

🏢 About Clera

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.

🎯 The Role

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.

✅ Key Responsibilities

• 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.

📌 Required Qualifications

• 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.

⭐ Desirable Experience

• 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.

🎁 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.

🛂 Visa & Eligibility

Candidates must be eligible to work in Germany without visa sponsorship.