Proficiency in Python and familiarity with Linux environments.
Solid understanding of software design, implementation, and debugging.
Strong analytical skills, ability to troubleshoot complex systems.
Self-driven, quick learner, comfortable with multitasking and dynamic environments.
Ways to Stand Out from the Crowd
Experience with virtualization and operating system internals.
Familiarity with tools like Kubernetes, Rancher, MongoDB, Redis, Docker, Vagrant, Ansible, or similar.
Proven development and implementation of AI native solutions for production use cases.
Strong background in CI/CD practices, particularly using Jenkins and infrastructure-as-code.
Knowledge of networking fundamentals and protocols and prior experience with cloud infrastructure or grid computing environments.
At NVIDIA, we offer competitive salaries, generous benefits, and a dynamic environment where innovation thrives. You'll work with some of the brightest minds in the industry, solving cutting-edge problems and shaping the future of AI, deep learning, graphics, and cloud computing. Our DevOps teams are at the foundation of this innovation. If you're a creative, passionate, and autonomous engineer with a desire to shape infrastructure at scale—we want to hear from you.
We value diversity and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.
#LI-Hybrid