System Software Engineer, GPU Development Tools

Nvidia

Confirmed live yesterday Trusted

Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CAWestford, MA
Employment: Full-time
Posted: 117 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $213k

$139k $277k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $190,000–$235,750.

Based on 240 similar postings.

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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 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 · System Software Engineer, GPU Development Tools

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The System Software Engineer, GPU Development Tools joins a dynamic software team focused on developing chip simulations, test authoring languages, and performance improvements. You will develop core infrastructure for modeling, analyzing, and debugging large-scale, general-purpose graphics and computing chips. This work enables driver stacks, applications, and tests to run on functional models, simulations, and silicon. Your daily responsibilities include running software applications on simulated GPUs, capturing instrumentation requirements from architects, and coordinating performance testing for next-generation architectures. You must possess strong C++ programming skills, knowledge of object-oriented design patterns, and an understanding of software driver stacks like CUDA, DX, OpenGL, or Vulkan. Preferred skills include Python scripting, chip simulation experience, and familiarity with virtual machines, containers, and distributed programming.

What does a System Software Engineer earn in California?

Median $235750 from 70 postings across 4 companies.

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Skills

C++ CUDA Python Vulkan OpenGL GPU Simulation Software Drivers Object-Oriented Design Virtual Machines Containers Distributed Programming Chip Simulation System Simulation

What you'll do

Develop core infrastructure for modeling, analyzing, and debugging large-scale graphics and computing chips.
Run software applications directly on simulated GPUs across diverse environments.
Capture instrumentation requirements from GPU architects for next-generation hardware improvements.
Coordinate with architects to enable functional and performance testing for new architectures.
Assist software teams in delivering production-ready drivers for market release.
Improve daily workflows for chip modelers and designers globally.
Develop chip simulations and test authoring languages to drive performance improvements.

What we're looking for

Bachelor's or Master's in Computer Science or Computer Engineering or equivalent experience.
5+ years of relevant software development work experience.
Understanding of the software driver stack in compute (CUDA) or graphics (DX, OpenGL, or Vulkan).
Ability to work across the GPU and driver stacks.
Strong C++ programming capability.
Knowledge of object-oriented design patterns.
Excellent interpersonal skills and flexibility/adaptability for a dynamic environment.
Experience with chip and/or system simulation (preferred).
Strong Python scripting skills (preferred).
Experience with farm compute tools/techniques like virtual machines, containers, and distributed programming (preferred).

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