Principal GPU Memory Simulation Architect

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!

What you'll be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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.

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This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.