Distinguished GPU Memory Simulation Architect

Visa Hunt; United States; On-site; USD 320,000 - 489,000; Full time

Job summary

NVIDIA is seeking a Distinguished Engineer to define the future of GPU memory, interconnects, and architectural simulation. You will set strategy for next‑generation memory and NoC performance, guide AI‑assisted model generation, and influence multi‑year architectural decisions across teams.

You will translate insights into concrete modeling priorities and product impact, mentoring engineers and aligning validation with scalable technical solutions.

Qualifications

• Deep expertise in GPU architecture, memory hierarchies, and on‑chip interconnect design.
• Strong performance modeling experience, scalable simulation infrastructure, and validation.
• Proficiency in C/C++ and Python, with scripting languages.
• Experience setting technical direction for complex architecture, modeling, or simulation systems.
• Excellent communication, leadership, and cross‑functional collaboration skills.
• PhD or equivalent research experience is a plus.

Responsibilities

• Define strategy for next‑gen GPU memory and NoC performance models.
• Lead use of simulation, emulation, workload analysis, and AI‑assisted model generation.
• Identify bottlenecks and opportunities across memory systems and interconnects.
• Translate insights into architecture recommendations and modeling priorities.
• Establish modeling standards, validation approaches, and common workloads.
• Collaborate with architecture, memory, interconnect, software, and verification teams.
• Mentor senior engineers and influence long‑term GPU architecture direction.

Skills

GPU architecture

Memory systems

Interconnect design

Performance modeling

C/C++

Python

Architecture strategy

Mentoring

Education

Bachelor's degree or higher in Computer/Electrical Engineering or CS

Job description

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.

Applications for this job will be accepted at least until August 4, 2026.

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.

We offer competitive pay, comprehensive benefits, and programs that support employees and their families.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.

You will also be eligible for equity and benefits.

Originally posted on Himalayas