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.
What you’ll be doing:
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.
Empower GPU architects to understand application performance today and model competition-destroying performance for tomorrow.
Coordinate with architecture and software teams to enable functional and performance testing for the next architecture.
What we need to see:
Bachelor'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)
Ways to stand out from the crowd:
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.
Skills Required
- Bachelor's degree in Computer Science or related major
- 2+ years of experience
- Strong C/C++ programming skills
- Fluent in English
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
