System Engineer (Token Factory)

Location: Israel; Namibia; United Kingdom 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 backendteams 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