Over the past two decades, NVIDIA has continuously reinvented itself, starting in 1999 when its creation of the GPU boosted the PC gaming industry, transformed computer graphics, and revolutionized parallel computing. Lately, GPU deep learning has driven advances in AI, making GPUs crucial for computers, robots, and self-driving cars to perceive and interpret the world.
This is our life’s work — to amplify human imagination and intelligence.

Ready to join us to change the world?
 

The automotive industry is undergoing significant disruption, with NVIDIA leading the charge in the autonomous vehicle revolution by providing crucial solutions to major car manufacturers. Our focus lies in critical domains where visual computing and AI are essential, such as AI Cockpit and Autonomous Vehicles (AV), which require a supercomputer on wheels.

Since no existing platform meets this demand, we are developing our own.

As a Senior Build & Release Engineer - Software Integration & Delivery, you will be responsible for creating and maintaining build and test jobs in the Continuous Integration system, while implementing DevOps and Software Integration best practices.
 

What you’ll be doing:

• Develop and manage continuous integration and continuous deployment (CI/CD) pipelines to ensure efficient and reliable integration changes & delivery of software.

• Implement new build configuration based on the new of the project.

• Monitor the Builds in CI and anticipate, debug, and fix build breaks.

• Implement DevOps and Software Integration best practices.

• Design and develop tools to automate or improve the existing workflow.

• Work with development teams to create and execute strategies for providing efficient builds and tools to the entire organization.

What we need to see:

• A solid technical foundation such as a Computer Science degree or equivalent experience.

• 5+ years of working experience as a Build and Release Engineer. Experience in Embedded software development project is a must.

• Solid experience with build system such as Bazel, CMake etc. is a must.

• Hands on experience with scripting languages such as Python, Shell, Bash etc. Experience with CI tool chain such as Jenkins, Gerrit, GitLab, Artifactory, docker etc.

• Solid understanding of containerization technologies like Docker is a must.

• Familiarity with Linux systems and command-line interfaces.

• Deep understanding of Software Engineering & integration best practices.

• Good knowledge with systems programming languages like C++, Rust, or Golang.

• Familiarity with Infrastructure as Code and a strong desire for automation.

• Excellent communication skills in English and the ability to clearly articulate ideas, designs, and suggestions.

Ways to stand out from the crowd:

• Experience with ADAS projects and process framework like ASPICE, ISO26262.

• Hands-on experience with Bazel, Gerrit

• Familiarity with orchestration technologies like Kubernetes.

• Experience with web technologies such as REST APIs and gRPC.

If you're passionate about autonomous vehicles, we would love to hear from you! 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.