GPU Systems Engineer at Nebius - Remote Europe/USA — Columbus
Traveler-Friendly Insight
Location Flexibility: Nebius explicitly lists R&D hubs across Europe, the UK, North America, and Israel, and the job posting notes "Flexibility and ownership" as a core perk. However, applicants must be authorized to work in the country where they apply, which limits pure nomadic freedom — you'll need a valid work authorization, not just a tourist or digital nomad visa.
Timezone Considerations: With hubs spanning Europe and North America, some schedule overlap will be required for collaboration with ML and backend teams. Expect at least a few fixed daily sync windows, likely spanning CET/EST overlap hours (roughly 3–5pm CET). This role is not fully async due to its deeply collaborative, systems-level nature.
Visa Options by Region:
- Europe: EU Blue Card or national tech visas (Germany, Netherlands, Portugal) are viable for non-EU engineers. Portugal's tech visa or D8 digital nomad visa could suit contractors, though the work-authorization clause complicates this.
- US: H-1B or O-1 for specialty occupations in GPU/AI engineering — a niche that qualifies easily.
- Israel: Work permit required; Nebius has a local hub so sponsorship is likely available.
Nomad Cost Comparison: No salary is published, but GPU/AI systems engineers at this level typically earn $150K–$220K+ annually in the US. Even at the lower end, Lisbon (€2,500/mo living cost), Berlin (€3,000/mo), or Warsaw (€1,800/mo) offer excellent purchasing power for a US-equivalent salary.
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.
About the Role:
Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale.
Responsibilities:
- Develop and optimize low-level kernels and runtime components for AI inference
- Improve performance of inference engines on GPU platforms
- Profile and debug system-level and hardware-level performance issues
- Integrate support for new hardware architectures (Hopper, Blackwell, Rubin)
- Collaborate with ML and backend teams to optimize end-to-end execution
Required Qualifications:
- Strong proficiency in C++, OR expertise in GPU programming with a focus on low-level high-performance coding and memory management
- Experience in GPU programming or systems-level software development (e.g., operating system internals, kernel modules, or device drivers)
- Hands-on experience with profiling and debugging tools to identify performance issues on both CPUs and GPUs, and the ability to optimize code based on those findings
- Solid understanding of CPU/GPU architecture and memory hierarchy
Preferred Qualifications:
- Experience with GPU computing programming: CUDA, ROCm, CUTLASS, Cute, ThunderKittens, Triton, Pallas, Mosaic GPU
- Familiarity with ML inference runtimes (e.g., TensorRT, TVM)
- Knowledge of Linux internals, drivers, or compiler toolchains
- Experience with tools like perf, VTune, Nsight, or ROCm profiler
- Familiarity with popular inference engines (e.g., vLLM, sglang, TGI)
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 fully remote or does it require being in a specific office?
What GPU programming frameworks are most important for this role?
Does Nebius provide relocation support?
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