Remote AI Benchmark Engineer: GPU & HPC Performance
Hamilton Barnes ?
Netherlands
Hybrid
EUR 85,186 - 144,816
Full time
14 days+
Application generator
Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.
Get past ATS filters
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.