Jobs · Full-time

Systems Engineer at Nebius - Remote Europe AI Cloud — Columbus

LocationColumbus
CompanyNebius
Sourcejobicy
Posted2026-11-03 15:22:53

Traveler-Friendly Insight

Location Flexibility: This role is based at Nebius's headquarters in Amsterdam, with R&D hubs also spanning Europe, the UK, North America, and Israel. The job posting doesn't explicitly state remote/fully-remote options, but Nebius mentions "flexibility and ownership" as a core perk — suggesting at least partial flexibility may be negotiable, especially for strong candidates within Europe.

Timezone Considerations: Given that the team operates across multiple data centers and regions, engineers are likely expected to maintain European business-hour availability (CET/CEST). Pure async workflows are unlikely given the complexity of distributed infrastructure work, though asynchronous collaboration with North American and Israeli hubs may be built in.

Visa & Work Authorization: Nebius explicitly requires applicants to be authorized to work in the country of application. For non-EU digital nomads, the Netherlands offers a Highly Skilled Migrant (Kennismigrant) visa route — Nebius, as a Nasdaq-listed tech company, is well-positioned to sponsor this. EU/EEA citizens have full freedom of movement. The UK hub could suit British-based engineers.

Nomad Cost-of-Living Note: No salary figure was disclosed. For context, senior systems engineers in Amsterdam typically earn €80,000–€120,000+. Amsterdam itself is expensive (comparable to London), but roles with European HQs sometimes allow remote work from lower-cost EU cities like Lisbon (COL ~40% lower) or Warsaw once you're established.

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 Role

The Compute Node team builds services for managing Virtual Machines running on GPU servers, integrating with disk management, virtual and InfiniBand networks. The team is also responsible for developing the Virtual Machine Scheduler that operates across clusters with thousands of servers and tens of thousands of GPUs, spanning multiple data centers in several regions.

We expect you to have:

1. Containerization & Orchestration

  • Experience with Kubernetes not only for deployment but for development is highly valued.

2. Virtualization

  • KubeVirt and QEMU/KVM familiarity is a high plus.

3. Linux & System-level Understanding

  • Solid knowledge of internal OS architecture, performance considerations, process isolation and resource management.
  • Knowledge of POSIX, sysfs, system calls, and file systems.
  • Familiarity with server architecture, PCIe devices, NICs, and kernel drivers.

4. Hardware Acceleration

  • Experience or strong interest in working with GPUs, DPUs, or ARM architectures is desirable.
  • Familiarity with the NVIDIA DOCA Software Framework will be an advantage.

5. Go & C++ Proficiency

  • Knowledge of at least one of these languages, ready to learn or work with the others as needed.
  • Strong grasp of concurrency, debugging, and profiling techniques.

We conduct coding interviews as part of the process.

Benefits & Perks:

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

What's it like to work at Nebius:

Fast moving — Bold thinking — Constant growth — Meaningful impact — Trust and real ownership — Opportunity to shape the future of AI.

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

Frequently Asked Questions

Is this role open to remote work or is it office-based in Amsterdam?
The job posting lists Amsterdam as the headquarters and mentions European R&D hubs, but does not explicitly state full remote availability. Nebius does highlight "flexibility and ownership" as a perk, so candidates are encouraged to clarify the remote policy during the interview process.
What programming languages are required for this position?
Proficiency in Go and/or C++ is expected. Nebius requires strong knowledge of at least one and willingness to work with the other, along with expertise in concurrency, debugging, and profiling.
Does Nebius offer visa sponsorship for this role?
Nebius requires applicants to be authorized to work in the country where they apply. As a major Nasdaq-listed tech company in the Netherlands, they may support Highly Skilled Migrant (Kennismigrant) visa sponsorship, but candidates should confirm this directly with the hiring team.
What is the interview process like at Nebius for this role?
The job posting explicitly states that coding interviews are conducted as part of the hiring process, indicating a technical bar consistent with deep systems engineering roles.
What kind of infrastructure will I be working on?
You'll work on the Compute Node team, building services for Virtual Machines on GPU servers and developing the VM Scheduler across clusters with thousands of servers and tens of thousands of GPUs across multiple data centers.
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