Build and Release Engineer - Compiler

Reposted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Engineer will develop and maintain CI/CD pipelines, optimize build systems, and manage containerization tools to support compiler technology at NVIDIA.
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

We are currently in need of a highly skilled and motivated DevOps Engineer to join our Compiler Team at NVIDIA. This position provides a unique chance to work alongside a world-class engineering team passionate about building the next generation of compiler technologies. We enhance, maintain the build infrastructure and deliver new libraries, executables etc. for new compiler features to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to graphics workloads for AAA game titles on gaming platforms. Our compiler organization makes its mark on every GPU NVIDIA produces.

What you'll be doing:

  • Develop and maintain robust CI/CD pipelines to ensure flawless integration and delivery of software.

  • Collaborate with multi-functional teams to improve the efficiency and reliability of build systems.

  • Monitor and optimize system and build performance, ensuring flawless operation

  • Implement and manage containerization and orchestration tools like Docker and Kubernetes to streamline development workflows.

  • Diagnose and resolve complex issues, ensuring the stability and performance of our environments.

What we need to see:

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.

  • 3+ years' work experience in software development or DevOps roles.

  • Proven experience with GNU Make, CMake, Bazel, or similar build tools.

  • Proficiency in Docker, Jenkins (Groovy), GitLab CI/CD, Artifactory, Ansible, and Kubernetes.

  • Strong understanding of version control systems, including Perforce and Git.

  • Expertise in scripting languages such as Python or Bash.

  • Outstanding problem-solving skills and the ability to determine root causes and implement effective solutions.

  • Strong communication skills and a collaborative team spirit.

  • Prior experience of LLVM build would be advantage.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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
Cmake
Docker
Gitlab Ci/Cd
Gnu Make
Jenkins
Kubernetes
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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