NVIDIA's GPU Architecture Group is looking for a software engineer to further modernize and scale GPU development. As GPU designs become more complex, our hardware models, testbenches, build scripts, and code generation flows need to keep adapting to this complexity. The development workflow will be parameterized and data-driven, so it adapts without manual rework. You'll apply modern software engineering techniques, including AI-assisted development, to a hardware domain where these practices can have outsized impact, and help spread those ways of working across a broader team. This role offers a unique opportunity to influence how one of the world's most advanced chips are developed!
What You'll Be Doing:
Design and build automation to scale GPU development processes across hardware models, testbenches, and build systems.
Develop and extend code generation flows that automate configuration and adapt to new designs without manual rework.
Refactor and improve large, complex codebases to be more parameterized, data-driven, and maintainable.
Collaborate with ASIC design and architecture teams to align on automation approaches.
Adapt modern software engineering workflows to GPU architecture development and find opportunities to set a higher standard.
Establish and maintain high standards for software quality and consistency across shared infrastructure.
What We Need to See:
B.S., M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)
Strong software engineering fundamentals and programming skills(Python, C++, or similar)
Experience with build systems, code generation, or design automation flows
3 years or more experience in relevant roles
Motivation to engage with and refine sizable, complicated codebases — converting legacy systems into maintainable, well-structured infrastructure
Familiarity with hardware development workflows (modeling, verification, or similar)
Up to date with modern software engineering methods including CI and AI-powered tooling
Effective collaboration skills for working across team and functional boundaries (architecture, ASIC, software)
Ways to Stand Out from the crowd:
Experience building or maintaining hardware build automation infrastructure at scale
Background in parameterized code generation or template driven build systems
Track record of improving developer efficiency through tooling and automation
Familiarity with GPU or ASIC development processes
Experience with configuration management for complex hardware IP
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- B.S., M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)
- Strong software engineering fundamentals and programming skills (Python, C++, or similar)
- Experience with build systems, code generation, or design automation flows
- 3 years or more experience in relevant roles
- Motivation to engage with and refine sizable, complicated codebases converting legacy systems into maintainable, well-structured infrastructure
- Familiarity with hardware development workflows (modeling, verification, or similar)
- Up to date with modern software engineering methods including CI and AI-powered tooling
- Effective collaboration skills for working across team and functional boundaries (architecture, ASIC, software)
- Experience building or maintaining hardware build automation infrastructure at scale
- Background in parameterized code generation or template driven build systems
- Track record of improving developer efficiency through tooling and automation
- Familiarity with GPU or ASIC development processes
- Experience with configuration management for complex hardware IP
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.”
