Senior ML Engineer (Token Factory)

Навыки

• C++
• CUDA / ONNX / TensorRT
• Отладка и поиск ошибок
• Linux
• Инференс LLM
• Machine Learning
• Ответственность за результат

О компании и продукте

• 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.
• 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.

Задачи

• 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

Требования

• 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

Будет плюсом

• 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 - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

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