Strategic Overview
System Engineer (Token Factory) at Nebius is defined by the responsibilities and candidate requirements in the employer's listing.
The published role emphasizes work such as Develop and optimize low-level kernels and runtime components for AI inference.
The role is listed for Europe, United States with a remote working arrangement, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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.
Key Responsibilities & Objectives
- Develop and optimize low-level kernels and runtime components for AI inference
- Improve performance of inference engines 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 & Candidate Blueprint
- 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. such as vLLM, sglang, TGI)
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
- 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
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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 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. such as 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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly Develop and optimize low-level kernels and runtime components for AI inference — rather than a generic title alone.
Resume & Application Strategy
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