About this role
Nebius is seeking an ML Infrastructure Engineer to benchmark GPU platforms for AI workloads. You will evaluate GPU performance across different hardware and software stacks, debug and optimize ML workloads, and perform acceptance testing for new GPU clusters. This role involves analyzing system and kernel-level performance, identifying bottlenecks, and contributing to internal tooling.
What we are looking for 6
- Benchmark GPU platforms for machine learning and AI workloads
- Evaluate and compare GPU performance across platforms and architectures
- Debug and optimize ML workloads for efficient GPU execution
- Perform acceptance testing for new GPU clusters
- Analyze system and kernel-level GPU performance
- Develop tools to visualize performance metrics and trends