Distinguished Engineer, GPU Memory and Interconnect Simulation Architecture We are looking for a Distinguished Engineer to help define the future of GPU memory, on-chip interconnect, and architectural simulation at NVIDIA. In this role, we will rely on you to set technical direction for next-generation memory and Network-on-Chip (NoC) performance and functional modeling, including how we use AI-assisted methods to build, validate, and scale architectural models. We focus this role on long-term architecture strategy, simulation methodology, and product impact.
We need someone who can connect GPU architecture, memory systems, interconnect behavior, workload analysis, and modeling infrastructure into a coherent view of future system performance. You will help guide multi-generation decisions, identify where simulation capability needs to evolve, and ensure our modeling investments produce meaningful architectural insight.
What You Will Be Doing:
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.
You will 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!
What We Need To See:
Bachelor's, Master's, or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent experience.
18+ years of relevant professional experience, including a record of 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, with the ability to connect model behavior, workload characteristics, architectural trade-offs, and product requirements.
Clear communication, strong technical leadership, and experience influencing across multi-disciplinary engineering teams.
Helped define architecture strategy, improved simulation methodology, or mentored engineers into broader technical leadership roles.
Ways To Stand Out from the crowd:
Experience in parallel computing, datacenter architecture, large-scale interconnect architecture, or AI/HPC workload analysis.
Add value examples where you built or improved performance modeling frameworks, wrote and analyzed test cases at scale, or used AI tools for code development, validation, model generation, or architectural analysis.
NVIDIA is widely recognized as one of the technology industry's most desirable employers. We offer competitive pay, comprehensive benefits, and programs that support employees and their families. Learn more at www.nvidiabenefits.com
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- 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 building, scaling, and validating architectural simulation infrastructure.
- Experience with large-scale software development and strong programming skills in C/C++ and Python or other scripting languages.
- Sound judgment in ambiguous technical areas; ability to relate model behavior, workloads, trade-offs, and product requirements.
- Clear communication, strong technical leadership, and experience influencing across multidisciplinary engineering teams.
- Experience defining architecture strategy, improving simulation methodology, or mentoring engineers into technical leadership roles.
- Experience or familiarity with AI-assisted methods for model generation, validation, or architectural analysis.
- Experience in parallel computing, datacenter architecture, large-scale interconnect architecture, or AI/HPC workload analysis.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
