We are seeking passionate and hardworking individuals to help us scale our AI and deep learning platforms. As a DevOps and Release Engineer, you will play a critical role in ensuring the smooth and efficient release of our software applications, working closely with our development, operations, and quality assurance teams. You will be responsible for implementing and maintaining the DevOps practices, tools, and infrastructure that enable our teams to deliver high-quality software reliably and efficiently, while ensuring smooth release management and deployment processes.

　　What you will be doing:

　　Develop, maintain, and improve CI/CD tools for on-prem and cloud deployment of our software, enable sophisticated cross-platform build systems, and bring world-class release engineering to NVIDIA's platform and cloud deployment process.

　　Collaborate with development, operations, and quality assurance teams to establish and maintain efficient and reliable DevOps practices, tools, and infrastructure that enable continuous integration, continuous delivery (CI/CD), and efficient software release management.

　　Automate and streamline build, deployment, and release processes, including configuration management, environment provisioning, and application deployment, using infrastructure as code (IaC) tools such as Terraform.

　　Manage and coordinate software releases, including versioning, branching, merging, and tagging, and ensure proper release management practices are followed.

　　Monitor and fix the software development and deployment pipelines, identifying and resolving issues related to build failures, test failures, code quality, and performance, in collaboration with development, operations, and quality assurance teams.

　　Collaborate with operations and security teams to ensure proper configuration and management of infrastructure resources, including containers, databases, and networking, following standard processes for security, scalability, and cost optimization.

　　Stay up-to-date with the latest advancements in DevOps tools, technologies, and standard methodologies, and provide recommendations for continuous improvement of our software development and deployment processes.

　　What we need to see:

　　Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).

　　2+ years of experience with large and complex software development environments. Experience with large code bases (1M+ LoC) is a plus

　　Proven experience as a DevOps and Release Engineer, with a focus on implementing and maintaining DevOps practices, tools, and infrastructure.

　　Strong programming and scripting skills in languages such as Python, Java, Shell, or PowerShell, and proficiency in version control systems such as Git or Subversion.

　　Proficiency with popular CI/CD tools (e.g., Jenkins, GitLab CI, Travis CI, CircleCI), build systems (e.g., CMake, Bazel, Gradle), and version control systems (e.g., Git, Perforce).

　　Knowledge of infrastructure as code (IaC) tools and concepts, including Terraform, and experience with cloud computing platforms.

　　Familiarity with containerization technologies such as Docker and container orchestration platforms such as Kubernetes.

　　Strong understanding of software testing principles, including unit testing, integration testing, and end-to-end testing, and experience with automated testing frameworks and tools.

　　Knowledge of release management practices, including versioning, branching, merging, and tagging, and experience with release management tools and processes.

　　Knowledge of networking, virtualization, and operating system concepts, and experience with managing virtual machines, containers, databases, and networking in cloud and on-premises environments.

　　Ways To Stand Out From The Crowd

　　Experience with GPU-accelerated applications or technologies.

　　Thrives in a multi-tasking environment with constantly evolving priorities.

　　Strong background with Jenkins on k8s at scale.

　　Prior experience with a large scale operations team.

　　Outstanding interpersonal skills and communication with all levels of management.

　　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.

　　NVIDIA is a Learning Machine

　　NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

　　Learn more about NVIDIA .