Senior GPU Architect

Nvidia

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: Santa Clara, CAWestford, MAAustin, TXDurham, NC
Salary: $184,000–$287,500 / yr
Posted: 165 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k

This role $236k

$154k most similar roles pay here $302k

This role pays more than 74% of similar roles. Most pay $177,250–$240,000 — the shaded band above. At the midpoint, this role pays about $236k versus about $209k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior GPU Architect

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As a Senior GPU Architect within the GPU Architecture group, you will join a team dedicated to advancing graphics and parallel computing performance. You will be responsible for designing new hardware features for future architectures while developing or enhancing graphics and parallel processing algorithms. Your daily work involves building simulators, infrastructure, and tools to analyze, validate, and verify functional or performance models. You will also develop test plans and testing infrastructure for new architectures while working with RTL and real silicon. The role requires expertise in computer architecture, signal processing, and high-performance computing. To succeed, you must possess strong programming skills in C, C++, Perl, and Python. This position focuses on solving complex problems in parallel programming models to push the state of the art in graphics features and overall parallel computing performance.

Skills

GPU Architecture C C++ Python Perl Parallel Programming Models High Performance Computing RTL Graphics Algorithms Signal Processing Simulators Databases Test Infrastructure Computer Architecture

What you'll do

Design new hardware features for future graphics and parallel processing architectures.
Develop and enhance algorithms to advance the state of parallel computation.
Build software for hardware simulators, test infrastructures, and metric systems.
Create tools to analyze, simulate, validate, and verify functional or performance models.
Develop comprehensive test plans and testing infrastructure for new GPU architectures.
Evaluate the impact of future parallel programming models on hardware design.

What we're looking for

MS in Computer Science, Electrical Engineering, or Computer Engineering is required or equivalent experience.
Candidates must have 8+ years of relevant industry experience in GPU or CPU architecture.
Strong programming proficiency in C, C++, Perl, and Python is required.
Experience with graphics algorithms, parallel processing, signal processing, and high performance computing is required.
Ability to develop software for hardware simulators, test infrastructures, and metrics systems.
Capability to design and validate functional or performance models through tools and testing infrastructure.

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