Senior DevOps Engineer

NVIDIA is seeking a Senior DevOps Engineer to join their Infrastructure, Planning and Processes organization. This role focuses on supporting the design and implementation of AI tools solutions on Kubernetes for the company's Cloud Platform. As part of NVIDIA, the world leader in accelerated computing, you'll work with cutting-edge technologies in AI, robotics, and autonomous vehicles.

The position involves working with sophisticated build & test environments for various hardware platforms, including NVIDIA GPUs and Tegra Processors, across multiple operating systems. You'll be responsible for crafting architecture for AI tools integration, implementing monitoring solutions, and ensuring security best practices are followed.

The role offers a competitive salary range of $168,000 - $333,500 USD, along with equity and comprehensive benefits. You'll be part of a dynamic team that collaborates across various business units within NVIDIA Software, including Graphics Processors, Deep Learning, and Artificial Intelligence divisions.

Key responsibilities include designing scalable architectures, automating deployment processes, implementing robust monitoring systems, and maintaining comprehensive documentation. The ideal candidate should have 10+ years of experience, strong Kubernetes expertise, and profound knowledge of both SQL and NoSQL databases.

This is an excellent opportunity for a seasoned DevOps engineer who wants to work at the forefront of AI and accelerated computing technology. You'll be part of a company that's transforming industries through innovations in AI and digital twins, while working with some of the most forward-thinking professionals in the technology world.