HPC System Engineer

Role Overview

We are seeking a highly skilled Systems Engineer to join our team to support benchmarking of GPU platforms for machine learning and AI workloads. You will play a critical role in evaluating the performance of GPU-based hardware for various deep learning and AI frameworks, enabling data-driven decisions for platform optimization and next-generation hardware development.

What You Will Do

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. Perform acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads.

Why It Might Be a Fit

We expect you to have 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.

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)
• Experience with modern deep learning frameworks (PyTorch, JAX, vLLM, Tensort-LLM)
• Experience with job schedulers and resource managers (Slurm, Volcano, etc.)

Benefits

• 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