About This Role
This DevOps Engineer role focuses on 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.
Responsibilities
- 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
Requirements
- 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
Nice to have:
- 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
About the Company
NVIDIA is committed to fostering a diverse workplace and is proud to be an equal opportunity employer.
