System Software Engineer, Event Operations

NVIDIA, a pioneer in visual and accelerated computing for over 25 years, is seeking a System Software Engineer for their Deep Learning Institute (DLI). This role combines DevOps expertise with educational technology, focusing on ensuring the stability and reliability of NVIDIA's training platform. The position offers an opportunity to work at the intersection of AI education and platform engineering, maintaining and improving systems that enable thousands of developers to advance their AI skills.

The role involves managing the technical infrastructure for training events, implementing SRE principles, and ensuring seamless operation of the Learning Management System platform. You'll be working with cutting-edge technologies including containerization, cloud services, and NVIDIA's AI stack, while contributing to the company's mission of making AI education accessible and effective.

As part of NVIDIA's learning systems platform team, you'll collaborate with educators and technical teams to deliver exceptional learning experiences. The position requires strong DevOps skills, including experience with Kubernetes, cloud platforms (AWS, Azure, GCP), and infrastructure as code tools like Terraform. Knowledge of AI technologies, particularly generative AI and NVIDIA's tech stack, is highly valued.

The role offers competitive compensation ($168,000 - $322,000 base salary) plus equity and benefits, reflecting NVIDIA's position as one of technology's most desirable employers. This is an excellent opportunity for a seasoned DevOps engineer who wants to impact AI education while working with cutting-edge technology at a global leader in accelerated computing.