System Engineer

h3About Nebius /h3pNebius 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. /ppNebius 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. /ppBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. /ppListed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with RD 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 RD. /ph3About The Role /h3pToken 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. /ph3Responsibilities /h3ulliDevelop and optimize low-level kernels and runtime components for AI inference /liliImprove performance of inference engines GPU platforms /liliProfile and debug system-level and hardware-level performance issues /liliIntegrate support for new hardware architectures (Hopper, Blackwell, Rubin) /liliCollaborate with ML and backend teams to optimize end-to-end execution /li /ulh3Required Qualifications /h3ulliStrong proficiency in C++, OR expertise in GPU programming with a focus on low-level high-performance coding and memory management /liliExperience in GPU programming or systems-level software development, e.g. operating system internals, kernel modules, or device drivers /liliHands‑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. /liliSolid understanding of CPU/GPU architecture and memory hierarchy /li /ulh3Preferred Qualifications /h3ulliExperience with GPU computing programming: CUDA, ROCm, CUTLASS, Cute, ThunderKittens, Triton, Pallas, Mosaic GPU /liliFamiliarity with ML inference runtimes (e.g. TensorRT, TVM) /liliKnowledge of Linux internals, drivers, or compiler toolchains /liliExperience with tools like perf, VTune, Nsight, or ROCm profiler /liliFamiliarity with popular inference engines (e.g. such as vLLM, sglang, TGI) /li /ulpWe conduct coding interviews as part of the process. /ph3Benefits Perks /h3ulliCompetitive compensation /liliCareer growth and learning opportunities /liliFlexibility and ownership /liliCollaborative and innovative culture /liliOpportunity to work on impactful AI projects /liliInternational environment and talented teams /li /ulh3What's It Like To Work At Nebius /h3pFast moving
- Bold thinking
- Constant growth
- Meaningful impact
- Trust and real ownership
- Opportunity to shape the future of AI /ph3Equal Opportunity Statement /h3pNebius 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. /p