Senior Memory System Architect

Reposted 3 Days Ago
Be an Early Applicant
3 Locations
In-Office
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead development of memory system architecture and micro-architecture for SoCs. Build and maintain performance models and simulations, analyze benchmarks and workloads, identify micro-architectural tradeoffs, and debug performance and functional issues across high-level models, RTL simulation, and silicon.
Summary Generated by Built In

NVIDIA is searching for experienced candidates with a track record of architecture development to join our memory system architecture team!  This team drives memory system architecture in NVIDIA’s world changing SOCs for deep-learning, autonomous vehicles and robotics, mobile systems, server systems, and gaming. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer? If so, we want to hear from you!

What You Will Be Doing:

  • Driving development of architecture and micro-architecture to improve the state-of-the-art in memory systems optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.

  • Performance modeling and simulation of features to improve memory system performance and efficiency.

  • Implementing and maintaining detailed and high-level performance models.

  • Analyzing benchmarks, application workloads, and performance simulation results to identify tradeoffs in areas of micro-architectural optimizations.

  • Debugging performance and functional issues with high-level models, RTL simulation, and silicon.

What we need to see:

  • M.S. or Ph.D. in CS, CE, or EE or equivalent experience

  • 3+ years experience in SoC or memory system architecture and performance

  • Deep understanding of memory subsystems – caches and coherence protocols, DDR and memory controller architecture, on-chip interconnects, address translation

  • Strong communication and interpersonal skills along with the ability to work in a dynamic, product oriented, distributed team.

  • Exposure/coursework related to Digital systems and VLSI design, Computer Architecture, C/C++ programming languages.

  • Software development experience with C++, python and/or perl. Verilog or SV/UVM are a plus.

Ways To Stand Out from the Crowd

  • Significant experience with performance modeling or performance verification.

  • Experience debugging and solving complex performance issues.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

Skills Required

  • M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience
  • 3+ years experience in SoC or memory system architecture and performance
  • Deep understanding of memory subsystems: caches and coherence protocols, DDR and memory controller architecture, on-chip interconnects, address translation
  • Exposure or coursework in Digital Systems and VLSI design and Computer Architecture
  • Software development experience with C++, Python and/or Perl
  • Strong communication and interpersonal skills; ability to work in a dynamic, product-oriented, distributed team
  • Verilog or SystemVerilog/UVM
  • Significant experience with performance modeling or performance verification
  • Experience debugging and solving complex performance issues

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.

  • Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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