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.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 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.Skills Required
- Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field
- 15+ years of relevant professional experience
- Strong performance modeling experience
- Experience in large-scale software development projects
- 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 for effective collaboration
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.”
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