System Engineer (Token Factory)
# System Engineer (Token Factory) **Nebius** · Israel; Namibia; United Kingdom · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[GPU-Computing]` `[AI-Infrastructure]` `[High-Performance-Computing]` `[Backend-Engineering]` `[Inference-Engineering]` `[Systems-Engineer]` `[P2P-Systems-Engineer]` `[Senior-Systems-Engineer]` `[Systems-Infrastructure-Engineer]` `[System-Software-Engineer]` `[Systems-Engineering]` --- ### About the Role 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 - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: 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. Originally posted on Himalayas
- GPU-Computing
- AI-Infrastructure
- High-Performance-Computing
- Backend-Engineering
- Inference-Engineering
- Systems-Engineer
- P2P-Systems-Engineer
- Senior-Systems-Engineer
- Systems-Infrastructure-Engineer
- System-Software-Engineer
- Systems-Engineering
Наблюдалась 2026-10-16, впервые 2026-10-16, источник — Himalayas (JSON API).