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NebiusNE

System Engineer (AI Studio)

Nebius is a cutting-edge AI cloud platform that offers scalable infrastructure for developing and deploying AI solutions.

Nebius

Employee count: 201-500

CZ, DE + 2 more

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Why work at NebiusNebius 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 workHeadquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with RD 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 RD team.

About the role:

AI Studio 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)

What we offer

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Hybrid 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!

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

Netherlands +/- 0 hours, and 3 other timezones

About Nebius

Learn more about Nebius and their company culture.

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At Nebius, we offer an advanced AI cloud platform designed for those who wish to develop, tune, and deploy their AI models with the most efficient infrastructure available. Our platform utilizes cutting-edge NVIDIA GPU clusters, including the H100 and H200, optimized for maximum performance with InfiniBand. One of the standout features of Nebius is our comprehensive fine-tuning ecosystem that includes on-demand GPUs and tools necessary for robust dataset processing, ensuring that AI teams can efficiently manage their computational resources according to demand.

We recognize the importance of AI inference in deploying real-world applications. Hence, we provide a resilient and cost-effective infrastructure that has been optimized for rapid deployment of Generative AI applications. Our services span the entire lifecycle of AI solutions, from model training to inference, making Nebius not just a GPU cloud but a full-stack AI platform. Additionally, we pride ourselves on supporting our clients with 24/7 expert guidance, offering resources to help architects and engineers harness our AI-optimized data centers to build scalable solutions.

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Nebius

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Nebius hiring System Engineer (AI Studio) • Remote (Work from Home) | Himalayas