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Nebius

Senior Systems Software Engineer, GPU Compute

Nebius · Remote - United States

Posted about 2 months ago · $170k-$300k

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

Is this posting real?

This role has been open
54 days
Nebius's roles stay open a median of 55 days
Reposted
No
Salary listed
Yes
9% of Nebius's roles list one
Ghost-job risk at Nebius
high
279 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
2026-09-27

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 Senior Systems Software Engineer at Nebius, you will focus on enhancing and optimizing the core components of their cloud platform, particularly in GPU computing and InfiniBand networks. Your responsibilities will include tuning performance, troubleshooting issues, integrating new hardware, and automating monitoring systems in high-performance computing environments. You will work closely with virtualization technologies and ensure efficient operation of GPU clusters and networks.

Our read on this posting3.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
5/5

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

  • 5+ years of professional experience in system-level software development focused on performance optimization and low-level programming
  • 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning)
  • In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems
  • Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python)

Nice to have

  • Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking
  • Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads)
  • Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication
  • Background in Software-Defined Networking (SDN) and experience with HPC cluster networking
  • Understanding of QEMU/KVM virtualization and managing virtualized environments

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 specific salary figure provided beyond a range
  • Role involves working with complex systems, which may require a steep learning curve
  • Focus on performance optimization may limit exposure to broader software development practices

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

Listed by Nebius on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.

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