Software Engineer in Hardware Infrastructure

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The team

The Hardware Automation team builds the internal platforms and tooling that power how Nebius operates its data center infrastructure at scale. Our mission is to eliminate manual effort, reduce human error, and give every team in the Hardware Infrastructure department real-time visibility and control over the systems they own. We operate as a product engineering team embedded within hardware infrastructure — meaning we don't just write requirements and hand them off. We own the full stack: from requirements gathering with data center operations and hardware engineering, through design and build, all the way to rollout and ongoing reliability. Your responsibilities will be centered around the d esign and development of services that automate work of a large server fleet at scale.

We expect you to have:

5+ years of professional software engineering experience

Excellent knowledge of Python or Golang, or you are ready to quickly switch to these programming languages

Ability to write reliable code and dig into complex problems

Strong interest in being engaged in DevOps processes

Working proficiency in English

We expect Engineers to:

Manage large-scale projects involving multiple stakeholders

Break down complex tasks and guide both their own work and that of more junior colleagues

Be experts in specific technologies and write high-quality code that can serve as a reference

Assess task priority and focus on high-impact work, avoiding low-value efforts

Have strong architectural thinking and contribute to system design

Be involved in hiring and actively contribute to interviews

Be willing to share knowledge and mentor others

It will be an added bonus if you have:

Solid understanding of modern server architecture and its components

Good knowledge of computer networks

Experience designing, developing and running high-load distributed syste