HPC System Engineer

# Systems Engineer (Cloudmeter)

Nebius is seeking a highly skilled Systems Engineer (Cloudmeter) to join the team supporting benchmarking of GPU platforms for machine learning and AI workloads. You play a critical role in evaluating the performance of GPU-based hardware for diverse deep learning and AI frameworks, enabling data-driven decisions for platform optimization and next-generation hardware development.

## Responsibilities

• Work closely with hardware and 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)
• Conduct acceptance tests for new GPU clusters to ensure hardware and software meet performance, stability, and compatibility requirements for AI workloads
• Run experiments on 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
• Strong 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)

## Nice to have

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