Senior GPU Architect

Nvidia

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Santa Clara, CAWestford, MAAustin, TXDurham, NC
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 14 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 $214k

This role $236k

$153k $302k

below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $189,737–$238,700 — the blue band above. At the midpoint, this role pays about $236k versus about $214k 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 · Senior GPU Architect

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The Senior GPU Architect joins the GPU Architecture group to lead efforts in graphics and parallel computing. This role involves designing and enhancing hardware features for future architectures to advance the state of the art in graphics performance and parallel programming models. You will develop graphics or parallel processing algorithms, build software for hardware simulators, and create test infrastructures, metrics systems, and databases. Key responsibilities include documenting and validating functional or performance models while working with simulators, RTL, and real silicon. The position requires proficiency in C, C++, Perl, and Python, alongside a background in computer architecture, signal processing, and high performance computing. You will solve complex problems related to parallel processing algorithms and the development of new infrastructure required for high performance parallel computing.

Skills

GPU Architecture Parallel Computing C C++ Python Perl RTL Graphics Algorithms High Performance Computing Signal Processing Database Test Infrastructure Computer Architecture

What you'll do

Design new hardware features for future graphics and parallel processing architectures.
Develop and enhance graphics and parallel processing algorithms to improve computation performance.
Build software for hardware simulators, test infrastructures, and metrics systems including databases.
Design and develop tools to analyze, simulate, validate, and verify functional or performance models.
Create tests, testplans, and testing infrastructure for new graphics or parallel processing architectures.
Research and implement new parallel programming models and their impacts on hardware.

What we're looking for

MS in Computer Science, Electrical Engineering, or Computer Engineering or equivalent experience.
8+ years of relevant industry experience in GPU or CPU architecture (or other equivalent experience).
Strong programming ability in C, C++, Perl, and Python.
Background in computer architecture, graphics algorithms, parallel processing, signal processing, and/or high performance computing.
Experience developing software for hardware simulators, test infrastructures, or metrics systems including databases.
Ability to develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures.

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