Performance Modeling Lead

Tech Stack

Responsibilities

• Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction.
• Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology.
• Develop performance models to guide decisions on scale-up vs. scale-out architectures, interconnect and network design, and memory hierarchy and system balance.
• Translate modeling outputs into clear recommendations for internal teams and external hardware vendors.
• Lead and grow a small team (2–3 engineers), setting technical direction and maintaining high standards for modeling rigor.

Culture

Requirements