Senior Memory System Architect

Nvidia

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Quick summary

Work type: On-site
Location: Santa Clara, CAAustin, TXDurham, NC
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 63 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k

This role $197k

$140k most similar roles pay here $264k

This role pays less than 54% of similar roles. Most pay $172,000–$235,750 — the shaded band above. At the midpoint, this role pays about $197k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1391 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1116 roles with salary data.

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At a glance

TL;DR · Senior Memory System Architect

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The Senior Memory System Architect joins the memory system architecture team to drive the development of architecture and micro-architecture for systems including deep-learning, autonomous vehicles, robotics, mobile systems, server systems, and gaming. The role involves optimizing performance, power efficiency, complexity, area, effort, and schedule while performing modeling and simulation of features to improve memory system performance. Responsibilities include maintaining high-level performance models, analyzing benchmarks and application workloads to identify micro-architectural trade-offs, and debugging functional issues using RTL simulation and silicon. Candidates must possess expertise in memory subsystems, including caches, coherence protocols, DDR, memory controller architecture, on-chip interconnects, and address translation. Required skills include C/C++ programming, Python, or Perl, with additional familiarity in Verilog or SV/UVM. The role focuses on solving complex performance issues within high-performance SoC environments.

Skills

Memory Systems Micro-architecture Performance Modeling RTL Simulation C++ Python Perl Verilog UVM VLSI Design Computer Architecture DDR On-chip Interconnects Address Translation

What you'll do

Drive the development of memory system architecture and micro-architecture to optimize performance, power, and area.
Perform modeling and simulation of features to improve memory system efficiency.
Implement and maintain detailed high-level performance models for memory systems.
Analyze benchmarks and application workloads to identify trade-offs in micro-architectural optimizations.
Debug performance and functional issues using high-level models, RTL simulation, and silicon.
Develop architectural solutions for SoC designs across deep learning, autonomous vehicles, and mobile systems.

What we're looking for

M.S. or Ph.D. in CS, CE, EE, or equivalent experience.
3+ years of experience in SoC or memory system architecture and performance.
Deep understanding of memory subsystems including caches, coherence protocols, DDR, interconnects, and address translation.
Proficiency in C/C++ programming languages.
Software development experience with Python and/or Perl.
Exposure to Digital systems, VLSI design, and Computer Architecture.
Verilog or SV/UVM skills (preferred).
Significant experience with performance modeling, verification, or debugging complex issues (preferred).

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