Remote AI Benchmark Engineer: GPU & HPC Performance

Hamilton Barnes ?

Netherlands

Hybrid

EUR 85,186 - 144,816

Full time

14 days+
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Job summary

A prominent Neocloud company is seeking an AI Benchmark Engineer in the Netherlands or remote throughout Europe. This role involves testing and improving the performance of GPU clusters for large-scale AI workloads. The ideal candidate has in-depth knowledge of server architecture and GPUs, along with strong troubleshooting and Python automation skills. This position enables you to work hands-on with cutting-edge technology while contributing to advanced AI infrastructure development.

Qualifications

  • Good understanding of modern server architecture and GPU based systems.
  • Hands-on experience working with GPUs, InfiniBand, NVLink, or PCIe.
  • Strong Linux skills plus experience using Python and Bash for automation.
  • Ability to troubleshoot hardware, software, and networking issues.
  • Experience analyzing performance problems and carrying out root cause investigations.
  • Curiosity and interest in how large scale AI systems work.

Responsibilities

  • Run benchmarks and tests on large GPU clusters and help deploy new hardware.
  • Carry out hardware tests across GPUs, InfiniBand, NVLink, PCIe, and server components.
  • Troubleshoot system issues and help find the root cause of performance problems.
  • Create and improve test methods for GPU and networking systems.
  • Work closely with other engineering teams to improve reliability and performance.
  • Review system behavior and adjust configurations to optimize performance.
  • Support research and development of new benchmarking approaches.

Skills

Understanding of modern server architecture
Hands-on experience with GPUs
Strong Linux skills
Experience with Python and Bash
Troubleshooting skills
Performance analysis skills

Job description

A prominent Neocloud company is seeking an AI Benchmark Engineer in the Netherlands or remote throughout Europe. This role involves testing and improving the performance of GPU clusters for large-scale AI workloads. The ideal candidate has in-depth knowledge of server architecture and GPUs, along with strong troubleshooting and Python automation skills. This position enables you to work hands-on with cutting-edge technology while contributing to advanced AI infrastructure development.
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