System Software Engineer, GPU Development Tools
Quick Summary
This role will require you to play a critical part in every stage of development of a GPU!
Bachelor's or higher degree in Computer Science, Computer Engineering, or related major 2+ years of experience Aptitude to work across the GPU, driver,
A key part of NVIDIA's strength is our sophisticated development tools and modelling environments that enable our incredible pace of delivering new technology to market. We are looking for forward-thinking, hard-working, and creative people to join a multifaceted software team with high production-quality standards. This software engineering role involves developing high-level chip models, test APIs and trace generation workflows, and analysis tools. As a member of the software development team, you will engineer and improve the core infrastructure for execution, automation, and debugging the development of large-scale, general-purpose graphics and computing chips. This infrastructure enables our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models.
Responsibilities
~1 min read- →
This role will require you to play a critical part in every stage of development of a GPU!
- →
Improve the daily workflows of the world’s top chip modelers and designers to help produce the next greatest generation of GPUs.
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Empower GPU architects to understand application performance today and model competition-destroying performance for tomorrow.
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Coordinate with architecture and software teams to enable functional and performance testing for the next architecture.
Requirements
~1 min readBachelor's or higher degree in Computer Science, Computer Engineering, or related major
2+ years of experience
Aptitude to work across the GPU, driver, and application stacks
Strong C/C++ is a must-have capability
Fluent in written and spoken English
Python programming experience (a plus).
AI related knowledges (a plus)
Know-how working on operating system kernels or writing device drivers with strong systems-level debugging skills
A knowledge of GPU APIs such as DirectX, CUDA, Vulkan or OpenGL
Experience with chip and/or system simulation
Deep understanding of systems architecture: CPU, GPU, memory, display, buses, kernel internals would be helpful
Advanced programming expertise with full-stack web based visualization technologies to help provide data insights.
Location & Eligibility
About this job
- Who can apply
- China
- Posted
- 19 days ago
Listing Details
- First seen
- October 18, 2026
- Last seen
- November 5, 2026
Posting Health
- Days active
- 19
- Repost count
- 0
- Trust Level
- 19%
- Scored at
- November 7, 2026
Signal breakdown
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