NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a distinctive heritage of innovation driven by outstanding technology—and incredible 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. Join our team and discover how you can build a lasting impact on the world.
NVIDIA is looking for a world-class engineer to join its Compiler Build & DevOps team. The position would be part of a team that implements and maintains sophisticated tools, that improve development workflows and overall productivity.
What you'll be doing:
You will be working closely with compiler development and verification engineers across the globe on tasks related to:
Improving automated build pipelines and processes, of compiler system software for NVIDIA processors.
Developing DevOps tools and workflows, using Nvidia proprietary and other innovative technologies to help build better CI/CD workflows.
Crafting efficiency and usability improvements across Nvidia proprietary products that will help streamline various release workflows across Nvidia.
Be in the critical path supporting thousands of developers as well as intimately understanding the values of predictability, automation and reliability.
Propose enhancements based on safety, compliance and other requirements.
What we need to see:
Bachelor/Master’s degree in computer science or computer engineering or equivalent experience
3+ years' work experience in software development or DevOps organization.
Proficiency in Docker, Jenkins (Groovy), GitLab CI/CD, Artifactory, Ansible, and Kubernetes
Proficiency in version control systems (e.g. Perforce, Git)
Have experience using GNU Make, CMake, Bazel, or other build tools
Programming skills: Python, Perl, or Bash
Excellent problem-solving and critical thinking abilities
Experience writing and maintaining complex software build systems.
Ability to self-manage, lead technically, and communicate optimally
Ways to stand out from the crowd:
Programming skills: C/C++
Compiler Domain Expertise: Have an understanding of how compilers work and how compilers are implemented.
Knowledge of static and dynamic code analysis and coverage tools like Coverity, Bullseye and VectorCAST.
Experience with distributed build systems
Strong interests towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.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 or Master's degree in Computer Science, Computer Engineering, or equivalent experience
- 3+ years' work experience in software development or DevOps
- Proficiency with Docker
- Proficiency with Jenkins and Groovy
- Proficiency with GitLab CI/CD
- Experience with Artifactory
- Experience with Ansible
- Experience with Kubernetes
- Proficiency with version control systems (Perforce, Git)
- Experience using build tools (GNU Make, CMake, Bazel, or similar)
- Programming skills in Python, Perl, or Bash
- Experience writing and maintaining complex software build systems
- Excellent problem-solving and critical thinking abilities
- Ability to self-manage, lead technically, and communicate effectively
- Programming skills in C/C++
- Compiler domain expertise (understanding of compiler internals and implementation)
- Knowledge of static and dynamic code analysis and coverage tools (e.g., Coverity, Bullseye, VectorCAST)
- Experience with distributed build systems
- Strong initiative and ability to drive projects across multiple teams
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.”
