AI Performance Modeling Engineer

About the role

The Role We're building GPUs to run the most demanding AI in the world — Transformers, LLMs, and large vision models — and we need an experienced hands-on engineer who can tell us how fast those workloads will run before the silicon exists. This is an AI performance projection/modeling role: your job is to model AI workloads on our GPU architecture, predict their performance with confidence, and use those projections to shape the hardware we build.

What you'll do

• Work across the full modeling spectrum — analytical models for fast architectural what-ifs
• Need real GPU architecture depth to do it
• Do Project AI workload performance (your core mission) Build and use models — analytical, architectural
• Run architecture experiments to evaluate GPU configurations, scaling limits, and trade-offs against real AI workloads
• Collaborate across the stack Partner with compiler, runtime, and framework teams to turn model insights into optimizations

What you need

• 1–3 years in electrical & electronics
• C++
• Python
• LLMs
• Linux
• Any graduate

What you get