Systems Platform QA and AI engineer
New
We sent a six-digit code to . Enter it below — or use the link in the same email.
Or click the link in the same email — either works.
Enter the email address on your account and we'll send you a link to set a new password.
Remembered it? Sign In
You'll develop and maintain CI/CD pipelines for embedded automotive software, handling build system design, automation, and containerization using Docker and tools like Jenkins and Bazel. The role requires five or more years of DevOps or build engineering experience, with embedded software development background essential. Key skills include Python, Shell scripting, CI/CD toolchains, Linux systems, and Software Engineering best practices. This is a full-time position; no location or salary information provided.
Written from this posting by Neural Jobs AI. The full description is below.
Over the past two decades, NVIDIA has continuously reinvented itself. In 1999, NVIDIA's 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: AI Cockpit and Autonomous Vehicles (AV). Autonomous vehicles require a supercomputer on wheels, presenting a computational challenge heavily reliant on AI and software. Since there is no existing platform that meets this demand, we are developing our own.
We are now looking for a DevOps Engineer. As a DevOps Engineer - Build & CI/CD in the Software Integration & Release team, you will be responsible for creating and maintaining build & test jobs in Continuous Integration system. You will implement DevOps & Software Integration best practices and drive automation across the integration and release pipeline.
· Develop, maintain, and optimize continuous integration and continuous deployment (CI/CD) pipelines to ensure efficient, reliable integration and delivery of embedded software.
· Implement and champion DevOps and Software Integration best practices across the team and broader organization.
· Monitor builds in CI systems - anticipate, debug, and resolve build & test breaks quickly.
· Design and develop automation tools to streamline existing build, test, and release workflows.
· Manage and improve containerized build environments using Docker.
· Implement new build configurations based on evolving project requirements.
· Collaborate with development teams to provide efficient builds, tools, and infrastructure to the organization.
· A solid technical foundation such as a Computer Science degree or equivalent experience.
· 5+ years of experience in DevOps, Build, or Release Engineering role.
· Experience in embedded software development project(s) is a must.
· Solid experience with build systems such as Bazel, CMake, etc.
· Hands-on experience with scripting languages such as Python, Shell, and Bash.
· Strong experience with CI/CD toolchains such as Jenkins, Gerrit, GitLab, Artifactory, and Docker.
· Solid understanding of containerization technologies like Docker is a must.
· Familiarity with Linux systems and command-line interfaces.
· Good understanding of Software Engineering & Integration best practices for embedded software development.
· 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.
· Hands on experience in large scale automotive embedded software development related program
· Experience with ADAS projects and process frameworks like ASPICE, ISO 26262.
· Hands-on experience with Bazel and Gerrit.
· Knowledge of systems programming languages like C++
· Experience with web technologies such as REST APIs and gRPC.
Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
Search by role, company, or anything a posting mentions.
