Software Engineer, Infrastructure

About the Role

Join a well-funded deeptech startup at the intersection of AI, robotics, and materials science. This infrastructure engineering role sits at the heart of an autonomous laboratory platform — the coordination layer between scientific intent and physical execution. Your work will directly shape how scientists and engineers discover new materials, with reliability, observability, and usability treated as first-class product priorities.

The company is an early-stage, seed-funded AI-driven materials discovery platform operating in the cleantech and deep science space, with a team of researchers, engineers, and roboticists working toward dramatically accelerating R&D timelines in the energy and manufacturing sectors.

What You'll Do

• Build and maintain 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 report issues.

• Drive reliability improvements grounded in real failure modes and production experience.

• Support job orchestration and ML systems, including integration with SLURM-based simulation clusters.

• Treat infrastructure as a product that directly affects scientific productivity and discovery outcomes.

What We're Looking For

Required:

• 2–5 years of software engineering experience with strong Python fundamentals.

• Practical experience building backend services, preferably with FastAPI and Pydantic.

• Experience with containerized applications and DevOps practices (Docker, Kubernetes, CI/CD).

• Ability to build and maintain data pipelines transforming raw experimental or data-intensive outputs.

• Experience building dashboards and interfaces for technical or scientific users (React, TypeScript, Tailwind, or Streamlit).

• Familiarity with SLURM-based job orchestration or HPC/simulation cluster integration.

• Strong emphasis on observability, monitoring, and production-grade reliability.

• Clear, direct communication skills and a habit of writing clean, maintainable code.

• Authorization to work in Germany without visa sponsorship (sponsorship is not available).

• English fluency; additional languages are a plus.

Nice to Have:

• Exposure to scientific computing, ML infrastructure, or data-intensive systems.

• Comfort working across the full stack and willingness to dig into unfamiliar territory.

• Background in or familiarity with chemistry, materials science, or life sciences environments.

Location

This is a full-time, on-site role based in Berlin, Germany. Candidates must be based in or willing to relocate to Berlin. Visa sponsorship is not available — applicants must have existing authorization to work in Germany.

Compensation & Benefits

Compensation details were not specified in this posting. You can expect a competitive package in line with early-stage deeptech startups at the seed stage, including equity participation.