Performance Modeling Lead
Core
Build performance modeling frameworks to evaluate system-level tradeoffs and guide architectural decisions for AI infrastructure.
Role type
Lead, quantitative system modeling for AI hardware
Builds
Performance modeling toolchains and quantitative analysis for AI system architecture
Domain
AI infrastructure, high-performance computing, distributed systems
Deliverable
production ML models
Required skills
performance modeling frameworks, AI/ML workload analysis, system architecture tradeoffs, analytical/simulation modeling, technical leadership
Preferred skills
hardware vendor engagement, data center infrastructure, accelerators/interconnects knowledge, roadmap influence, engineering mentorship
Technologies
NVLink, InfiniBand, Ethernet, GPUs, ASICs
Responsibilities
Build performance modeling framework/toolchain, analyze compute/memory/networking tradeoffs, guide scale-up/scale-out decisions, translate modeling outputs to recommendations, influence reference designs, partner with ML/systems teams, lead small engineering team, validate models against real system behavior
Seniority
Senior, hands-on IC with team leadership
