Senior HPC Systems Engineer: GPU Clusters & AI Infra

Nebius

United States

Remote

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Competitive pay
Career growth
Flexibility and ownership
Collaborative culture
Impactful AI projects
International teams

Job summary

Nebius is seeking a Senior Systems HPC Engineer to optimize large-scale GPU clusters and run across the full stack from hardware to software. You will identify bottlenecks, validate performance improvements, and work with teams across infra, software, and hardware vendors.

Ideal candidates bring 5+ years in system-level software performance, Linux expertise, and strong C/C++/Go/Python skills. The role offers an international, fast-moving environment with opportunities to influence AI-scale

Qualifications

  • 5+ years in system-level software development focused on performance optimization.
  • 3+ years with Linux systems (administration, troubleshooting, performance tuning).
  • Deep understanding of server architecture including PCIe devices, NICs, Linux OS/Kernel, and HPC systems.
  • Proficiency in performance-oriented languages: C/C++, Go, Python.

Responsibilities

  • Analyze system behavior across multiple layers to identify bottlenecks and drive improvements for GPU clusters.
  • Troubleshoot performance issues under real workloads (training and inference).
  • Evaluate and integrate new hardware, configurations, and tuning approaches via software stack.
  • Collaborate with infra, software, and hardware vendor teams (NVIDIA, Mellanox, Intel) on performance.
  • Contribute to hardware and cluster qualification ensuring systems meet performance targets.
  • Support performance escalations from internal teams and customers.

Skills

System-level software
Linux systems
Performance optimization
C/C++
Python

Tools

KVM/QEMU
MPI/NCCL

Job description

Nebius is seeking a Senior Systems HPC Engineer to optimize large-scale GPU clusters and run across the full stack from hardware to software. You will identify bottlenecks, validate performance improvements, and work with teams across infra, software, and hardware vendors.

Ideal candidates bring 5+ years in system-level software performance, Linux expertise, and strong C/C++/Go/Python skills. The role offers an international, fast-moving environment with opportunities to influence AI-scale

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