Senior GPU Memory Architect jobs in United States
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NVIDIA · 1 day ago

Senior GPU Memory Architect

positionSeattle, WA
timeFull-time
remoteOnsite
senioritySenior Level
money$184K/yr - $288K/yr
date6+ years exp

NVIDIA is a leader in computer graphics and accelerated computing, now venturing into AI to redefine computing. They are seeking a Senior GPU Memory Architect to develop high-performance GPU computing systems, focusing on memory systems architecture and performance optimization.

Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Define and architect innovative features for next-generation GPU memory and on-chip interconnect subsystems
Develop, implement, and refine performance models to evaluate architectural choices and predict subsystem behavior
Develop and evaluate test cases to validate performance models and ensure robust feature integration
Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations
Collaborate closely with multi-disciplinary engineering teams to translate product requirements into architectural solutions

Qualification

GPU architectureMemory systemsPerformance modelingC/C++ programmingPython programmingData analysisCommunication skillsCollaboration

Required

Bachelor's degree (or equivalent experience) in Computer Engineering, Electrical Engineering, Computer Science, or a related field with a minimum of 8+ years of relevant professional experience is required
Or an MS degree with 6+ years or a PhD with 4+ years of experience are also eligible
An understanding in CPU or GPU architecture, memory systems, or network on-chip design
Experience in large-scale SW development projects and strong programming skills in C/C++ and Python or other scripting languages
Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners

Preferred

Background in parallel computing, datacenter architecture, or large scale interconnect architecture
Expertise in data analysis and visualization using tools such as pandas and related technologies
Experience in writing, running, and analyzing test cases within performance modeling frameworks
Experience in using AI tools for code development, validation, and analysis

Benefits

Equity
Benefits

Company

NVIDIA

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NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
dateFounded in 1993
location
Santa Clara, California, USA
people-size10001+ employees
web-link
https://www.nvidia.com

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase