Senior Memory System Architect
Quick Summary
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,
M.S. or Ph.D. in CS, CE,
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!
Responsibilities
~1 min read- →
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.
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Performance modeling and simulation of features to improve memory system performance and efficiency.
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Implementing and maintaining detailed and high-level performance models.
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Analyzing benchmarks, application workloads, and performance simulation results to identify tradeoffs in areas of micro-architectural optimizations.
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Debugging performance and functional issues with high-level models, RTL simulation, and silicon.
Requirements
~1 min readM.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.
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.Location & Eligibility
About this job
- Posted
- 20 days ago
Listing Details
- First seen
- October 18, 2026
- Last seen
- November 7, 2026
Posting Health
- Days active
- 19
- Repost count
- 0
- Trust Level
- 18%
- Scored at
- November 7, 2026
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