We are looking for a DevOps/Verification Engineer with extensive hardware and IT infrastructure knowledge. The position includes researching, creating, and handling the automated build and deployment process for our Storage solutions. You will have a unique opportunity to have a real impact in a dynamic, technology-focused company shaping the future of data-center technologies. If you bring with your excellence and creative thinking while solving issues as they arise, and if you enjoy working with distributed teams - your place is with us!
What You’ll Be Doing:
Build & maintain our bare-metal infrastructure based on pioneering technologies and high-end hardware.
Drive continual improvements to our CI/CD pipelines.
Participate actively in the development, integration, verification, and performance during R&D on next-generation Storage solutions.
What We Need To See:
2+ years of experience in developing CI/CD processes and DevOps contribution with a real passion for automation (Jenkins, GitLab CI).
Extensive experience with hardware and bare-metal infrastructure.
2+ years of experience in writing programs using Python.
2+ years of experience in Linux distributions (CentOS, Ubuntu, SLES, RedHat).
Good background in scripting (Bash, Ruby, Groovy) in Unix/Linux environment.
Good knowledge of virtualization in Linux (QEMU/KVM), Container orchestration with Kubernetes.
Experience in configuration and deployment management (Ansible).
Expertise in Source control infrastructure (Github, GitLab, Gerrit).
Understanding of Linux packaging software (.rpm, .deb).
Higher IT or Technical Education.
Ways To Stand Out From The Crowd:
Experience with PyTest or related testing frameworks.
Good understanding of C/C++ toolchain in Linux including cross-compilation and different build tools (make, cmake, meson).
Experience in developing modern Software Verification Systems.
NVIDIA is 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. If you are creative and autonomous, we want to hear from you!
NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
