DevOps Engineer
We are looking for a DevOps Engineer with strong hardware and IT infrastructure knowledge. This role includes researching, building, and maintaining automated processes across advanced infrastructure environments, with a real opportunity to make an impact in a dynamic, technology-driven company. The ideal candidate brings technical excellence, creative problem-solving, and seamless integration of AI into daily work processes, while enabling efficient development and testing workflows across distributed engineering teams.
What You’ll Be Doing:
- Build and maintain infrastructure across bare-metal, virtualized, and containerized environments using advanced technologies and high-end hardware.
- Drive continuous improvements across CI/CD pipelines and automation workflows.
- Provide infrastructure and automation support for development and verification teams, enabling efficient development and testing processes.
- Support development and integration activities for next-generation infrastructure and software platforms.
- Improve reliability, scalability, and operational efficiency across Linux- and Windows-based environments.
NVIDIA is committed to fostering a diverse workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by law.
What We Need To See:
- 2+ years of experience developing CI/CD processes and contributing in DevOps environments, with a strong passion for automation.
- Hands-on experience with CI/CD tools such as Jenkins and GitLab CI.
- Extensive experience with hardware-focused infrastructure, including bare-metal and virtualization platforms.
- 2+ years of experience working with Linux distributions such as CentOS, Ubuntu, SLES, or Red Hat.
- Strong scripting skills in Bash, Python, Groovy
- Good knowledge of virtualization in Linux, including QEMU/KVM, and container orchestration with Kubernetes.
- Experience with source control platforms such as GitHub and GitLab.
- Understanding of Linux packaging software, including .rpm and .deb.
- BSc in Computer Science, Engineering, Information Technology, or similar.
Ways to stand out from the crowd:
- Experience with agentic AI tools, AI-driven automation, or integrating AI into DevOps workflows.
- Strong networking knowledge, including TCP/IP, switching, routing, and troubleshooting in Linux- and Windows-based environments.
- Experience with PyTest or similar testing frameworks.
- Good understanding of the C/C++ toolchain in Linux, including cross-compilation and build tools such as make, cmake, and meson.
