NVIDIA's networking software runs the fabrics inside the world's largest AI systems: NVLink and InfiniBand switch management, subnet managers, in-network computing, and fabric telemetry. Our infrastructure and DevOps team owns how that software is built, tested, scanned, and released — the CI/CD pipelines, Kubernetes-based build fleets, artifact and container registries, quality and security gates, and the hardware-simulation and lab environments the product teams rely on every day. We are looking for a senior DevOps engineer who is at home on Linux, automates in Python and Bash without hesitation, and takes pipelines end to end, from a red nightly to a signed release. The work spans a dozen active repositories and three CI systems, together with a distributed team of DevOps and product engineers across the US and Israel. Every build the networking software organization ships passes through what this role owns.

What you'll be doing:

• Design, build, and maintain CI/CD pipelines for a portfolio of networking software products across GitLab CI, Jenkins, and GitHub Actions — from merge-request gates to nightly regressions and release pipelines that package, sign, and publish Debian and RPM packages and container images.

• Keep pipeline signal trustworthy: make failures visible and actionable, remove failure masking, stabilize flaky lanes, and turn nightly regression results into something product teams act on.

• Operate and evolve the build infrastructure — Kubernetes-based CI runner fleets, container registries and artifact repositories, caching, retention policies, and access control.

• Integrate quality and security gates into every pipeline: code coverage, static analysis, unit and functional test lanes, secret and container scanning, dependency and vulnerability scanning — and drive findings to closure with the owning teams.

• Automate provisioning of hardware- and simulation-based test environments with Ansible and Python.

• Partner with C++ and Python developers, verification engineers, and lab and infrastructure teams to unblock builds, harden release paths, and set repository standards — branch protection, code owners, merge policies.

• Apply AI-assisted tooling to DevOps work — automated code review, failure-triage assistants, agent workflows — wherever it removes toil.

What we need to see:

• Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.

• 5+ years in DevOps, build and release, or infrastructure engineering roles, including pipelines owned end to end.

• Deep, hands-on Linux skills on Ubuntu and RHEL: shell fluency, process and system debugging, package management, operating fleets of hosts, and containers with Docker.

• Strong automation in Python and Bash.

• Production track record with at least one modern CI system — GitLab CI, Jenkins pipelines, or GitHub Actions — including multi-stage pipelines for both compiled and interpreted codebases.

• Working knowledge of Kubernetes as a CI and infrastructure platform, plus container registries and artifact repositories.

• Familiarity with software quality and security tooling: coverage, static analysis, secret and vulnerability scanning.

• Solid grounding in computer networking fundamentals and Git-based development workflows.

• Ownership and clear communication — able to drive a problem across teams and time zones and to document what you build.

Ways to stand out from the crowd:

• Building and packaging C/C++ projects with CMake and Conan, and keeping large compiled builds fast and reproducible.

• Familiarity with high-performance networking — InfiniBand, Ethernet fabrics, NVLink — or with switch and network-management software.

• Running SonarQube, Coverity, Bullseye, or container and secret scanning at scale.

• Practical use of AI agents and LLM tooling to automate DevOps and verification workflows.

• Excellent interpersonaland communication skills

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.