HPC System Engineer

Responsibilities

• Work closely with hardware and development teams to profile and analyze GPU performance at 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

• 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).

Hard Skills

• GPU performance analysis
• CUDA
• ROCm
• Python
• Bash
• NCCL
• troubleshooting
• system optimization
• acceptance testingperformance evaluation

Soft Skills

• collaboration
• problem‑solving