GPU Development Tools System Software Engineer

Nvidia

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Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CA
Employment: Full-time
Posted: 172 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Similar $214k

$151k $278k

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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 1472 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1109 roles with salary data.

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At a glance

TL;DR · GPU Development Tools System Software Engineer

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The GPU Development Tools System Software Engineer joins the NVIDIA Infrastructure Group to design, implement, and debug the next generation of large-scale, general-purpose graphics and computing chips. You will build core verification infrastructure for GPU and Tegra chips, creating environments to program and test features before they are integrated into products or supported by driver software. This role involves collaborating across architecture, hardware, and software teams to unlock functionality and performance throughout the full chip development lifecycle. You will work with a sophisticated distributed computing execution and triage environment using strongly object-oriented C++ and Python. The position requires proficiency in C++ programming, familiarity with compute architecture, OS design, or driver development, and a background in computer science, computer engineering, or electrical engineering.

Skills

C++ Python GPU SoC Compute Architecture OS Design Driver Development Distributed Computing Verification Infrastructure

What you'll do

Design, implement, and debug next-generation large-scale graphics and computing chips.
Build core verification infrastructure for GPU and Tegra chips.
Develop environments to program and test GPU and SoC features before product integration.
Build object-oriented C++ and Python infrastructure for distributed computing execution and triage.
Participate in the full chip development lifecycle from architectural specification to production.
Unlock functionality and performance of next-generation chips through cross-functional technical work.

What we're looking for

BS or MS in CS, CE, EE, or a related field, or equivalent experience.
Working experience in C++ programming.
Strong proficiency in C++ programming.
Familiarity with compute architecture, OS design, or driver development.
Python programming experience (preferred).
Excellent communication skills.

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