HPC System Engineer

Nebius Group

Systems Engineer (Cloudmeter) supporting GPU benchmarking for AI workloads at Nebius. Collaborating with teams to analyze performance and optimize GPU-based hardware.

Posted 6/11/2026full-timeRemote • 🇳🇱 NetherlandsMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

DockerKubernetesLinuxPythonUnix

About the role

Key responsibilities & impact

Work closely with hardware, development teams to profile and analyze GPU performance at the system and kernel level.
Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g., CUDA, ROCm).
Perform acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads.
Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimizations on performance and scalability.

Requirements

What you’ll need

Proficient in Unix/Linux, plus Python and Bash for automation.
Good understanding of the GPU stack: CUDA, NCCL, drivers, and relevant libraries
Proven ability to troubleshoot complex system issues including hardware, software, and networking problems.
Familiarity with containerized environments (e.g., Docker, Kubernetes).

Benefits

Comp & perks

Competitive compensation
Career growth and learning opportunities
Flexibility and work-life balance
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

GPU performance analysisCUDAROCmPythonBashNCCLtroubleshootingsystem optimizationacceptance testingperformance evaluation

Soft Skills

collaborationproblem-solving