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.

What you’ll be doing:

• Coordinate the integration of software changes and manage the build process.

• Collaborate with software development, QA, and DevOps engineers to ensure smooth integration and delivery.

• Identify and resolve integration issues, ensuring the stability and reliability of the integrated system.

• Develop and maintain integration strategy, schedules, and status.

• Establish software integration best practices and methodologies.

• Facilitate communication and collaboration between development teams and other stakeholders.

• Monitor and report on integration progress, escalating issues as necessary.

What we need to see:

• Bachelor’s degree in computer science/ engineering or related field.

• 5+ years of experience in software integration/release engineering or a similar role.

• Strong understanding of software development lifecycle, branching strategy and integration processes.

• Hands-on experience with Continuous integration tools chains e.g. Jenkins, Gerrit, GitLab, GitHub, etc.

• Experience in Embedded software development project is a must.

• Experience in automotive programs/projects.

• Demonstrated ability to coordinate cross-functional work teams.

• Excellent communication skills in English and the ability to communicate to various level of stakeholders.

• Strong problem-solving abilities and the capacity to think analytically in high-pressure situations.

• Keen eye for detail and dedication to excellence.

Ways to stand out from the crowd:

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

• Prior experience with Gerrit, JIRA, Confluence, scripting with Python, Docker

• Experience in build system e.g. CMake, Bazel.

• Proven track record of successful software integrations in complex environments.

• Proficiency in project management principles and practices.

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.