Software Engineer, Infrastructure

Dunia; Berlin; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A pioneering AI company in Berlin seeks a Software Engineer, Infrastructure, to develop backend services that enable real scientific workflows and enhance materials discovery processes. Ideal candidates will have 2–5 years of experience in software development, particularly with Python, as well as familiarity with containerized environments. This role directly impacts infrastructure quality, influencing discovery outcomes. Join a team dedicated to making energy more accessible through innovative technologies.

Qualifikationen

• 2–5 years of software engineering experience.
• Comfort working across the stack.
• Experience with containerized applications and basic DevOps practices.
• Bonus for exposure to scientific computing or ML infrastructure.
• Fluency in English, additional languages preferred.

Aufgaben

• Build backend services in Python that orchestrate scientific workflows.
• Create data pipelines from experimental outputs.
• Develop internal dashboards for user interfaces.
• Maintain containerized environments and CI/CD pipelines.
• Implement observability for system health tracking.

Kenntnisse

Solid Python fundamentals

Stack versatility

Containerized applications experience

DevOps practices

Clear communication

Clean code habits

English fluency

Tools

Python (FastAPI, Pydantic)

React

TypeScript

Tailwind

Streamlit

Jobbeschreibung

Your mission

Build the software backbone letting AI reason about and experiment on the physical world. Dunia is building AI for one of the hardest unsolved problems in science: turning materials discovery from an academic, trial-and-error process into a programmable, scalable discipline.

At Dunia software doesn’t just serve users, it coordinates robots, experiments, simulations, and learning systems that interact with matter itself.

As Software Engineer, Infrastructure, you will own the systems that make this possible. Your work sits directly between scientific intent and physical execution: if infrastructure is unclear, brittle, or slow, discovery stalls. If it’s well-designed, the entire system accelerates.

This role is for an engineer who wants their software decisions to have real, measurable consequences in the world.

Your tasks will include:

• Production systems that matter: Backend services in Python (FastAPI, Pydantic) that orchestrate real scientific workflows
• Data pipelines that turn raw experimental output into usable signal

Tools people rely on daily:

• Internal dashboards and interfaces (React, TypeScript, Tailwind, Streamlit) used by scientists and engineers
• Systems where usability and correctness directly affect productivity

Infrastructure as a first-class product:

• Containerized environments and CI/CD pipelines that keep the system moving
• Observability that tells you what’s happening before users complain
• Reliability improvements driven by actual failure modes, not hypotheticals

The full loop: software → compute → science:

• Job orchestration and ML system support
• Integration with SLURM-based simulation clusters
• Infrastructure decisions informed by real workloads, not abstract benchmarks

Your profile

• 2–5 years of software engineering experience, with solid Python fundamentals
• Comfort working across the stack. You don’t need to be an expert in everything, but you’re willing to dig into unfamiliar territory
• Experience with containerized applications and basic DevOps practices
• Clear communication and a habit of writing clean, maintainable code
• Bonus: exposure to scientific computing, ML infrastructure, or data-intensive systems
• English fluency, additional languages preferred

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About us

Dunia, meaning “world” in over 20 languages, reflects our focus on building technologies that deliver abundance globally. By combining physics, AI, and automation, we accelerate materials discovery for next-generation energy and industrial systems. Our work helps make energy more accessible and materials more affordable and resilient while reshaping how science moves from idea to impact. Join us to work on problems where progress truly compounds.

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We strive to create a diverse and inclusive workplace where everyone feels welcome and safe to be their authentic self. Non-traditional career paths are welcome and valued. If you share our vision, you can be certain that we want you to succeed. You might be just the right candidate for this or for other roles that have not opened yet.

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