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Nebius

System Engineer (Token Factory)

Nebius · Remote; Remote - Europe

Posted about 3 months ago

or apply directly on Nebius's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Nebius's roles stay open a median of 80 days
Reposted
No
Salary listed
No
9% of Nebius's roles list one
Ghost-job risk at Nebius
high
369 stale, 17 reposted of 384 open
Hiring momentum
508 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Nebius's own greenhouse board since 2026-08-03. Full hiring picture for Nebius.

About this role

As a System Engineer in the Token Factory at Nebius, you will develop and optimize low-level kernels and runtime components for AI inference, focusing on improving the performance of inference engines on GPU platforms. Your role will involve profiling and debugging system-level performance issues, integrating support for new hardware architectures, and collaborating with machine learning and backend teams to enhance end-to-end execution.

Our read on this posting2.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Nebius as an employer.

What you need

  • 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
  • Solid understanding of CPU/GPU architecture and memory hierarchy

Nice to have

  • 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. vLLM, sglang, TGI)

What you get

  • 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

Worth weighing

  • No salary listed
  • Role involves low-level programming which may not appeal to all candidates
  • Experience with specific GPU programming tools and languages is preferred but not mandatory

Summarised from Nebius's posting. Read the full original.

Listed by Nebius on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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