Performance Modeling Engineer
Etched, San Jose
What you will do
- Develop comprehensive performance models and projections for our architecture across varying workloads and configurations
- Profile and analyze deep learning workloads on our hardware to identify micro-architectural bottlenecks and influence optimization opportunities
- Drive hardware/software co-optimization by identifying where architectural features can unlock performance improvements
- Run regressions and validate performance models against real systems and silicon
- Inform next-generation architectural decisions by pathfinding across system and silicon options during design, proof-of-concept, and architecting phases
You may be a good fit if you have at least one of the following:
- Strong performance modeling and analysis skills with experience building analytical-based or simulation-based performance models
- Solid understanding of computer architecture and micro-architecture, particularly for accelerators
- Experience profiling and analyzing deep learning workloads on hardware accelerators (GPUs, TPUs, ASICs, FPGAs, or others)