- Remote, Netherlands +2 more
- Remote
- Full-time
- Competitive compensation
Lead and support benchmarking of GPU platforms for machine learning and AI workloads, evaluating performance and optimizing hardware and software stacks.
Locations (3)
- Amsterdam, North Holland, Netherlands
- Europe
- United States
Responsibilities
- Work closely with hardware and development teams to profile and analyse GPU performance at the system and kernel level.
- Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g., CUDA, ROCm).
- Debug and optimise ML workloads to run efficiently on GPU hardware, identifying and resolving performance bottlenecks.
- Perform acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads.