Software DevOps Engineer, Networking

NVIDIA•Santa Clara, CA

1d•$148,000 - $276,000

About The Position

NVIDIA is seeking a senior DevOps engineer to own infrastructure and DevOps for networking software used in large AI systems, including NVLink and InfiniBand switch management, subnet managers, in-network computing, and fabric telemetry. The role is responsible for how that software is built, tested, scanned, and released, including CI/CD pipelines, Kubernetes-based build fleets, artifact and container registries, quality and security gates, and hardware-simulation and lab environments. The engineer will work across a dozen active repositories and three CI systems with distributed DevOps and product engineering teams across the US and Israel. The role takes ownership of pipelines end to end, from nightly failures through signed releases, and partners with developers, verification engineers, and lab and infrastructure teams to improve builds, release paths, and repository standards. It also applies AI-assisted tooling to DevOps workflows where it can reduce toil.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
At least 5 years of experience in DevOps, build and release, or infrastructure engineering roles, including end-to-end pipeline ownership.
Deep hands-on Linux skills on Ubuntu and RHEL, including shell use, process and system debugging, package management, fleet operations, and Docker containers.
Strong automation skills in Python and Bash.
Production experience with at least one modern CI system: GitLab CI, Jenkins pipelines, or GitHub Actions, including multi-stage pipelines for compiled and interpreted codebases.
Working knowledge of Kubernetes as a CI and infrastructure platform, along with container registries and artifact repositories.
Familiarity with software quality and security tools, including coverage, static analysis, secret scanning, and vulnerability scanning.
Solid grounding in computer networking fundamentals and Git-based development workflows.
Ownership and clear communication skills, including the ability to drive problems across teams and time zones and document work.
Excellent interpersonal and communication skills.

Nice To Haves

Experience building and packaging C/C++ projects with CMake and Conan, and keeping large compiled builds fast and reproducible.
Familiarity with high-performance networking such as InfiniBand, Ethernet fabrics, or NVLink, or with switch and network-management software.
Experience 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.

Responsibilities

Design, build, and maintain CI/CD pipelines across GitLab CI, Jenkins, and GitHub Actions for merge-request gates, nightly regressions, and release processes.
Package, sign, and publish Debian and RPM packages and container images through release pipelines.
Improve pipeline signal by making failures actionable, eliminating failure masking, stabilizing flaky lanes, and helping product teams act on nightly regression results.
Operate and evolve Kubernetes-based CI runner fleets, container registries, artifact repositories, caching, retention policies, and access controls.
Integrate quality and security gates, including coverage, static analysis, unit and functional tests, secret and container scanning, and dependency and vulnerability scanning; drive findings to closure with owning teams.
Automate provisioning of hardware- and simulation-based test environments using Ansible and Python.
Partner with C++ and Python developers, verification engineers, and lab and infrastructure teams to unblock builds, harden release paths, and establish repository standards such as branch protection, code owners, and merge policies.
Apply AI-assisted tooling, including automated code review, failure-triage assistants, and agent workflows, to reduce toil.