Principal GPU Memory Architect

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$272,000–$431,250 / yr
Employment
Full-time
Posted
20 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $225k
This role $352k
$144k $462k
below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $195,483–$254,750 — the blue band above. At the midpoint, this role pays about $352k versus about $225k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Principal GPU Memory Architect

The Principal GPU Memory Architect will join the team to develop future high-performance computing systems with a focus on enhancing power-constrained hardware performance. The role involves developing innovative processor and system architectures, specifically focusing on memory systems and energy efficiency. Key responsibilities include developing architecture and micro-architecture features to optimize performance per watt, performance per millimeter, and performance per dollar. You will develop architecture prototype models for power and noise analysis, perform performance and power simulations, and debug functional issues using RTL simulation and emulation. Required skills include expertise in power analysis and modeling for pipeline-based architectures using tools like Ansys Power Artist and Synopsys PTPX. Candidates must possess experience with C, C++, and scripting languages to solve complex power, performance, and area problems.

What you'll do

  • Develop innovative high-performance processor and system architectures focused on memory systems and energy efficiency.
  • Design micro-architecture features to optimize performance per watt, performance per millimeter, and performance per dollar.
  • Develop and enhance architecture prototype models for power and noise analysis.
  • Perform performance and power simulations to analyze and improve energy per byte.
  • Analyze benchmarks and application workloads to identify specific areas for architecture optimizations.
  • Debug power, performance, and functional issues using high-level models, RTL simulation, emulation, and silicon.
  • Collaborate with outside partners on system infrastructure development.

What we're looking for

  • 18+ years of experience in CPU/GPU architecture and memory systems design with a focus on energy efficiency.
  • Bachelor's degree in Electrical Engineering, Computer Science, or a related field (or equivalent experience).
  • Expertise in power analysis and modeling in pipeline-based architectures.
  • Experience with C, C++, and some scripting languages.
  • Good understanding of power analysis tools like Ansys Power Artist or Synopsys PTPX.
  • MS/PhD in Electrical Engineering, Computer Science, or a related field (preferred).
  • Experience with hardware design languages such as Verilog or VHDL (preferred).
  • Prior experience in developing and optimizing algorithms for power efficiency (preferred).

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