Senior ML Engineer (Token Factory) at Nebius

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

0.0

Posted On

22 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, GPU Programming, Low-Level Coding, Memory Management, Profiling Tools, Debugging Tools, CPU Architecture, GPU Architecture, ML Inference Runtimes, Linux Internals, Device Drivers, Performance Optimization, CUDA, TensorRT, Operating System Internals, Inference Engines

Industry

technology;Information and Internet

Description

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. 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. What we offer Competitive salary and comprehensive benefits package. Opportunities for professional growth within Nebius. Flexible working arrangements. A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Responsibilities

Develop and optimize low-level kernels and runtime components for AI inference. Collaborate with ML and backend teams to optimize end-to-end execution.