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.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.Applications for this job will be accepted at least until May 17, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.