Software Engineer, Infrastructure

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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 DoBuild 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 ForRequired: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 u.