Related skills
benchmarking gpu workload_optimization ai_ml_workloads systems_software📋 Description
- Port and enable benchmarks and workloads on new hardware.
- Evaluate performance across compute, memory, storage, and networking.
- Identify and analyze performance bottlenecks.
- Adapt and optimize workloads to utilize hardware capabilities.
- Develop and run performance experiments and profiling workflows.
- Debug issues across software, runtime, and hardware layers.
🎯 Requirements
- Experience with performance analysis, benchmarking, or workload optimization.
- Strong understanding of system architecture, including CPU/GPU, memory, and I/O subsystems.
- Experience porting or adapting workloads across different hardware platforms.
- Familiarity with profiling tools and performance debugging techniques.
- Ability to identify root causes of performance issues across hardware/software boundaries.
- Experience working in large-scale or distributed system environments.
🎁 Benefits
- Hybrid work model (3 days in office per week).
- Relocation assistance.
🚚 Relocation support
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