NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.
NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
What you will be doing:
Contribute to advancing GPU Streaming Multiprocessor (SM) Architecture, Simulators, compilers and testing infrastructure.
Understand and model in architecture compiler, features for AI and graphics GPU SM.
Develop test plans and testing infrastructure for next generation GPU SM.
Develop tools to validate performance models and verify functional models.
What we need to see:
A Masters/Bachelor’s degree in CS or Math, with 3+ years of relevant experience in Compilers, Parallel programming, computer architecture or related field.
Strong programming ability in C, C++, Python.
Strong understanding of Compiler and data structure is a must.
Ability to work with teams spanning both hardware and software boundaries.
Ways to stand out from the crowd:
Experience in GPU compilers and architectural exploration.
Solid programming skills and CPU core architecture background.
Understanding of ISA of CPU (GPU ISA will be a big plus)
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.
#LI-Hybrid
Skills Required
- Masters/Bachelor's degree in CS or Math
- 3+ years of relevant experience in Compilers, Parallel programming, or computer architecture
- Strong programming ability in C, C++, Python
- Strong understanding of Compiler and data structure
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.”
