24 hours ago
Base Salary
$148k - $276k/yr
Responsibilities
- Design and maintain CI/CD pipelines across GitLab CI, Jenkins, and GitHub Actions for merge-request gates, nightly regressions, and release workflows.
- Package, sign, and publish Debian and RPM packages and container images.
- Improve pipeline reliability by removing failure masking, stabilizing flaky lanes, and making regression results actionable.
- Operate Kubernetes-based CI runner fleets, container registries, artifact repositories, caching, retention policies, and access controls.
- Integrate code coverage, static analysis, unit and functional testing, secret scanning, container scanning, dependency scanning, and vulnerability scanning into pipelines.
- Automate provisioning of hardware- and simulation-based test environments with Ansible and Python.
- Partner with software, verification, lab, and infrastructure teams to unblock builds, strengthen release paths, and establish repository standards.
- Apply AI-assisted code review, failure triage, and agent workflows to reduce DevOps 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, including end-to-end pipeline ownership.
- Deep Linux experience with Ubuntu and RHEL, including shell scripting, debugging, package management, host fleets, and Docker containers.
- Strong Python and Bash automation skills.
- Production experience with 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, container registries, and artifact repositories.
- Familiarity with coverage, static analysis, secret scanning, and vulnerability scanning tools.
- Understanding of computer networking fundamentals and Git-based development workflows.
- Experience building and packaging C/C++ projects with CMake and Conan is preferred.
- Familiarity with InfiniBand, Ethernet fabrics, NVLink, switch and network-management software, SonarQube, Coverity, Bullseye, container scanning, secret scanning, AI agents, or LLM tooling is preferred.
- Strong ownership, communication, documentation, and cross-team collaboration skills are required.
Benefits
- Competitive salary, equity, and a generous benefits package.
- The base salary range is 148,000 USD–235,750 USD for Level 3 and 176,000 USD–276,000 USD for Level 4.
- Applications will be accepted at least until September 20, 2026.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.