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Senior Memory System Architect

NVIDIA· Architect
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Hybrid (Santa Clara, CA / Durham, NC / Austin, TX)$152k - $241.5kfull-timePosted 2mo ago

About the role

Senior memory system architecture role focused on developing and optimizing memory systems for NVIDIA’s SOCs across multiple domains, including AI, autonomous systems, mobile, servers, and gaming. Responsibilities include architecture/micro-architecture development, performance modeling, and debugging across high-level models, RTL, and silicon.

Responsibilities

  • Driving development of architecture and micro-architecture to improve memory systems 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 micro-architectural optimizations
  • Debugging performance and functional issues with high-level models, RTL simulation, and silicon

Qualifications

  • 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

Skills

Required:Architecture and micro-architecture design for memory systems

Benefits

  • equity
  • benefits
  • Applications accepted until August 6, 2026
Last updated Aug 7, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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