NVIDIA has been transforming Artificial Intelligence, computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you’ll be doing:
This role offers a great opportunity to be at the forefront of compiler verification, ensuring our brand-new technology maintains its premier standard. You will:
Design industry grade C++ testsuite, focusing on modern C++ standards C++23/26.
Identify potential gaps in current test procedures and leverage modern LLM technologies to increase quality of C++ testing.
Automate compiler testing using NVIDIA test frameworks and programming. This includes test execution, test reporting, results analysis, and automation of build and test environments.
Apply current iterative planning and test development processes in existing test coverage and work on closing test gaps.
What we need to see:
Bachelor's or master's degree in computer science/computer engineering or equivalent experience
3+ years’ work experience in a software development or test organization.
Proficiency in programming and/or testing in C++ and advanced level of understanding ISO C++20/23/26 features.
Expertise in compilers / low-level software tools, understanding how they work and are implemented, with a proven track record to solve problems and implement solutions.
Experience in writing test plans, test development, test automation, test execution, and reporting in a production environment.
Deep understanding of Software Development Process (SDLC), High-Performance Computing (HPC), and Software Testing Methodologies.
Excellent interpersonal skills, self-motivated, and well-organized.
Ways to stand out from the crowd:
5+ years’ experience testing production software, preferably compilers or other system software specifically in testing programming languages using modern AI /LLM technologies.
Previous experience in compiler development, verification/testing, or performance analysis (i.e., developing/testing C++ runtime libraries, built-ins/Intrinsics.)
Experience working with low-level ISA - ARM64, X64, RISC-V.
Experience in ABI verification is a bonus.
Background with revision control software and management tools, such as Git, Perforce, JIRA and Make.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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 a diverse 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
- Bachelor's or master's degree in computer science/computer engineering or equivalent experience
- 3+ years' work experience in a software development or test organization
- Proficiency in programming and/or testing in C++ and advanced level of understanding ISO C++20/23/26 features
- Expertise in compilers / low-level software tools, understanding how they work and are implemented
- Experience in writing test plans, test development, test automation, test execution, and reporting in a production environment
- Deep understanding of Software Development Process (SDLC), High-Performance Computing (HPC), and Software Testing Methodologies
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.”
