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System Engineer (Token Factory)

Nebius

Remote; Remote - Europe · മുഴുവൻ സമയവും

അപേക്ഷിക്കുന്ന ആദ്യയാളാകൂ

അനുഭവം
ഏതെങ്കിലും
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1
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6 മണിക്കൂർ മുമ്പ്
പ്രവർത്തന രീതി
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പുനരാരംഭിക്കുക
അപേക്ഷിക്കാൻ നിർബന്ധം

ജോലി വിവരണം

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 backend teams 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:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspect

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