Role OverviewWe are seeking a Principal Architect to help analyze and model performance across the hardware/software boundary of our AI inference accelerators. This role focuses on emerging hardware technologies and emerging workloads, building analytical models and simulation tools that let the architecture team project performance on current and future d-Matrix silicon.
What You Will Do
Analyze emerging ML workloads, build and maintain analytical performance models, develop and extend architecture simulators, partner with hardware design and software teams, and propose targeted HW/SW feature improvements based on modeling results and workload analysis.
Why It Might Be a Fit
You'll work closely with Hardware Design, Compiler, Inference Server, and Kernels teams, translating workload analysis into concrete modeling inputs and surfacing HW/SW improvement opportunities.
Requirements
- BSEE with 6+ years of industry experience, or MSEE with 4+ years of industry experience
- Working knowledge of computer architecture, HW/SW co-design, performance modeling, and ML fundamentals (particularly DNNs)
- Programming fluency in C/C++ or Python
- Experience building or working with analytical performance models or architecture simulators
- Self-motivated and collaborative, comfortable working across hardware and software teams
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