Build and DevOps Engineer - Compilers

Posted 4 Days Ago
2 Locations
In-Office
136K-265K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Collaborate with compiler engineers to enhance build pipelines and DevOps tools, improve CI/CD workflows, and support efficiency in release processes.
Summary Generated by Built In

NVIDIA has been transforming 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. 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:

  • 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

  • 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.

  • Prior experience of LLVM build would be advantage

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.

  • Experience with distributed build systems

  • Strong interests towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 28, 2025.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.

Top Skills

Ansible
Artifactory
Bash
Bazel
C/C++
Cmake
Docker
Gitlab Ci/Cd
Gnu Make
Jenkins (Groovy)
Perl
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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