Developer Tools DevOps Engineer

NVIDIA Developer Tools team is looking for a DevOps engineer to improve productivity and efficiency of engineering operations.

The position will be part of a fast-paced crew that supports desktop and mobile Developer Tools products over a multitude of platforms, including Linux, Windows, Cloud Computing, Android, and other embedded, real-time OSs (RTOS).

Responsibilities

• Own and improve CI/CD pipelines for multiple Developer Tools products – enabling fast, reliable builds and automated testing across platforms and architectures.
• Streamline the product delivery operations within the Developer Tools organization by tracking, measuring, and regularly reporting critical metrics and regression testing.
• Ensure rapid engineering operations and product delivery by collaborating with engineering and global infrastructure teams to establish and continuously improve product quality baselines.
• Document runbooks, standards, and guidelines to help teams adopt modern DevOps patterns.

Requirements

• Bachelor’s Degree in Systems/Software/Computer Engineering, CS or equivalent experience.
• At least 5 years of direct experience working in large-scale software development setting as a DevOps, Site Reliability, or Build/Release Engineer.
• Excellent problem-solving and debugging capabilities.
• Strong hands-on Python and Perl skills, and proficiency in Bash/Shell scripting.
• Strong knowledge of Linux, networking, storage, and security.
• Experience with continuous integration systems (Jenkins, GitLab, Gerrit).
• Familiarity with Git and Perforce source control systems.
• Strong communication and collaboration skills with the ability to partner across multiple engineering teams to achieve consensus.
• Self-motivated and adaptable, thriving in a fast-paced, high-demand environment with evolving priorities and direction.

Nice to Have

• Track record running shared CI/CD platforms for many teams.
• Experience supporting developer tools or SDKs or other sophisticated C/C++ software stacks.
• Hands-on background with GPU/HPC, or AI/ML workloads and understanding how CI/CD and infrastructure needs differ for these domains.
• Experience with containers and orchestration (Docker, Kubernetes).

You will also be eligible for equity and benefits.