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.
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
- 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.
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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.”
