NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today!
Our team is responsible for development and management of tooling and release infrastructure for chip designers. We are constantly evolving to meet the demands of newer design architectures while maintaining backward compatibility and keeping tools reliable and scalable.
What You'll be Doing:
- Research, develop and maintain high quality tooling for scalable build/regression/release infrastructure that our chip designers rely on every day.
- Develop user facing services that enable them to quickly schedule, track and triage their flows.
- Develop internal tools to collect, analyze, monitor and visualize key metrics of the build and deployment systems.
- Research and adapt the latest CI/CD practices to constantly evolve the tools & meet industry standards.
What We Need to See:
- Bachelor's degree or higher in Computer Science or Computer Engineering (or equivalent experience).
- Experienced in a compiled language(C++/Golang) & scripting(Python/Perl/Tcl).
- Experience in writing good production quality code.
- Solid understanding of data structure, algorithms, computer architecture and computer science theory.
- Flexibility/adaptability for working in a global and wide-ranging environment with different frameworks and requirements.
Ways to stand out from the crowd:
- Interest or experience in AI/ML & developing agentic workflows
- Proficiency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, makepp, Bazel)
- Experienced with full stack development.
- Proficiency in C++ linter, memory check, performance profiling, and code coverage tools.
- Experienced with distributed computing systems such as LSF
NVIDIA is widely considered one of the technology world’s most desirable employers. We employ some of the most forward-thinking and talented people in the world. Are you passionate about joining our life work to amplify human imagination and intelligence? If you are creative, collaborative, and have a real passion for design methodology and automation, we want to hear from you.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2.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
- Bachelor’s degree or higher in Computer Science, Computer Engineering, or equivalent experience
- Experience with a compiled language such as C++ or Golang
- Experience with scripting languages such as Python, Perl, or Tcl
- Experience writing production-quality code
- Solid understanding of data structures, algorithms, computer architecture, and computer science theory
- Flexibility and adaptability in global, diverse environments with different frameworks and requirements
- Interest or experience in AI/ML and developing agentic workflows
- Proficiency with source control management and build systems such as Git, Perforce, Make, CMake, makepp, or Bazel
- Experience with full-stack development
- Proficiency with C++ linting, memory checking, performance profiling, and code coverage tools
- Experience with distributed computing systems such as LSF
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.”
