Senior GPU Memory Architect

Nvidia

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Remote

Quick summary

Work type: Remote
Location: Santa Clara, CAAustin, TXDurham, NCSeattle, WA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 13 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k

This role $236k

$154k most similar roles pay here $302k

This role pays more than 72% of similar roles. Most pay $189,737–$250,000 — the shaded band above. At the midpoint, this role pays about $236k versus about $220k 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 GPU Memory Architect

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As a Senior GPU Memory Architect, you will join the team to develop innovative high-performance processor and system architectures with a specific focus on memory systems and energy efficiency. You will be responsible for creating micro-architecture features to optimize performance per watt, performance per millimeter, and performance per dollar while developing architecture prototype models for power and noise analysis. Your daily work involves performing performance and power simulations to improve energy per byte, analyzing benchmark workloads to identify optimization areas, and debugging issues using high-level models, RTL simulation, and emulation. The role requires expertise in pipeline-based architectures, power analysis tools like Ansys Power Artist or Synopsys PTPX, and proficiency in C, C++, and scripting languages. You will solve complex hardware challenges regarding power-constrained performance within the domain of GPU memory systems.

Skills

GPU Architecture Memory Systems CUDA PPA) analysis RTL Verilog VHDL C C++ Ansys Power Artist Synopsys PTPX Simulation Emulation Scripting Languages High-Performance Computing

What you'll do

Develop innovative processor and system architectures focused on memory systems and energy efficiency.
Design micro-architecture features to optimize performance per watt, millimeter, and 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 architectural optimizations.
Debug power, performance, and functional issues using high-level models, RTL simulation, and silicon.
Collaborate with external partners to develop and maintain system infrastructure.

What we're looking for

10+ 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.
Proficiency in C, C++, and various scripting languages.
Familiarity with power analysis tools such as 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 developing and optimizing algorithms for power efficiency (preferred).

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