System Engineer (Token Factory)

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.