HPC System Engineer

# Systems Engineer (Cloudmeter)

Nebius is seeking a highly skilled Systems Engineer (Cloudmeter) to join the 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.

## 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)
• 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)

## Desirable:

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