Distinguished GPU Memory & NoC Simulation Architect

Nvidia Corporation in; Santa Clara (CA); On-site; USD 320,000 - 489,000; Full time

Job summary

NVIDIA is seeking a Distinguished Engineer to define the future of GPU memory, on‑chip interconnect, and architectural simulation. You will set technical direction for memory and NoC performance, shaping how AI-assisted modeling is used to build, validate, and scale architectural models across multi‑generation products.

You will connect GPU architecture, memory systems, interconnect behavior, workload analysis, and modeling infrastructure into a coherent view of system performance, guiding

Qualifications

• Bachelor's, Master’s, or PhD in Computer Engineering, Electrical Engineering, Computer Science, or related field, or equivalent experience.
• 18+ years of relevant professional experience, including setting technical direction for complex architecture, modeling, or simulation systems.
• Deep experience in GPU architecture, including memory systems, cache hierarchy, and on-chip interconnect design.
• Strong performance modeling expertise, including experience building, scaling, and validating architectural simulation infrastructure.
• Experience with large-scale software development and strong programming skills in C/C++, Python, or other scripting languages.
• Sound judgment in ambiguous technical areas, connecting model behavior, workload characteristics, and product requirements.
• Clear communication, strong technical leadership, and experience influencing across multi-disciplinary teams.
• Helped define architecture strategy, improved simulation methodology, or mentored engineers into broader technical leadership roles.

Responsibilities

• Define the strategy for next-generation GPU memory and NoC performance and functional models.
• Guide how we use simulation, emulation, workload analysis, and AI-assisted model generation to evaluate architectural choices and predict system behavior.
• Identify important bottlenecks and opportunities across GPU memory systems, on-chip interconnects, cache hierarchy, data movement, and workload execution.
• Translate those insights into architecture recommendations, modeling priorities, and feature direction for future products.
• Partner with you to establish modeling standards, validation approaches, common workloads, and decision frameworks that help teams compare architectural proposals with confidence.
• Work across GPU architecture, memory, interconnect, software, verification, performance, and product teams to connect requirements with scalable technical solutions.
• Communicate clear recommendations to senior technical and business leaders, including trade-offs, risks, assumptions, and expected performance impact.
• Mentor senior engineers, strengthen modeling and architecture communities, and help influence the long-term direction of GPU architecture!

Skills

GPU architecture

Memory systems

Cache hierarchy

Interconnect design

Performance modeling

C/C++

Python

Architectural modeling

Leadership

Cross-functional collaboration

Education

Bachelor's/Master's/PhD in relevant field

Job description

NVIDIA is seeking a Distinguished Engineer to define the future of GPU memory, on‑chip interconnect, and architectural simulation. You will set technical direction for memory and NoC performance, shaping how AI-assisted modeling is used to build, validate, and scale architectural models across multi‑generation products.

You will connect GPU architecture, memory systems, interconnect behavior, workload analysis, and modeling infrastructure into a coherent view of system performance, guiding