Principal GPU Memory Simulation Architect

NVIDIA•Us, CA

22h•Hybrid

About The Position

We are seeking a world-class Principal Memory Simulation Architect to design and develop the next-generation GPU memory and on-chip interconnect performance and functional models. Ideal candidates will bring a strong track record in large-scale architectural simulation, AI-assisted model generation, and deep expertise in GPU memory systems. A broad perspective across GPU architecture and the depth to drive both innovative feature definition and performance analysis is highly desirable. This position offers the opportunity to have a real impact in a fast-paced, technology-focused company!

Requirements

Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent experience)
15+ years of relevant professional experience.
Strong performance modeling experience, with demonstrated ability to build and validate architectural simulation infrastructure at scale.
Experience in large-scale SW development projects and strong programming skills in C/C++ and Python or other scripting languages.
Deep GPU architecture experience, including memory systems and on-chip interconnect design.
Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners.

Nice To Haves

Background in parallel computing, datacenter architecture, or large-scale interconnect architecture.
Experience in writing, running, and analyzing test cases within performance modeling frameworks.
Experience in using AI tools for code development, validation, and analysis.

Responsibilities

Develop, implement, and refine NOC performance and functional models employing the latest AI technologies to evaluate architectural choices and predict system behavior.
Define and architect innovative features for next-generation GPU memory and on-chip interconnect subsystems.
Analyze benchmarks, application workloads, and simulation/emulation results to identify architecture optimizations.
Collaborate with multi-disciplinary engineering teams to translate product requirements into architectural solutions.