System Engineer (Token Factory)

Nebius Group; Amsterdam; Remote; EUR 110,000 - 170,000; Full time

Benefits offered by this job

Competitive compensation

Career growth

Flexibility and ownership

Collaborative culture

Impactful AI projects

International environment

Job summary

Nebius is seeking a System Engineer for Token Factory to design and optimize low-level AI inference kernels and runtime components. This remote Europe role collaborates with ML and backend teams to scale GPU workloads, profile and debug performance, and integrate new hardware architectures.

You will work closely with cross-functional teams to ensure efficient end-to-end execution across multiple hardware platforms.

Qualifications

• Strong proficiency in C++ and GPU programming, focusing on low-level high-performance coding and memory management.
• Experience in GPU programming or systems-level software development (OS internals, kernel modules, device drivers).
• Hands-on profiling and debugging to optimize CPU/GPU performance.

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- 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.

Skills

C++ / GPU programming

Systems-level development

Profiling & debugging

Tools

perf

VTune

Nsight

ROCm profiler

Job description

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.

Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

System Engineer (Token Factory)

Remote; Remote - Europe

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)

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

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.