Senior AI Infrastructure Engineer - DGX Cloud

AI Infrastructure Engineers at NVIDIA ensures that our internal and external facing GPU cloud services run maximum reliability and uptime as promised to the users and at the same time enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency and performance.

We are looking for engineers with a strong background in computer science fundamentals who are interested in building tooling, reporting, automation, and AI to support the operational flywheel across a highly dynamic organization.

What you’ll be doing:

• Design, build, deploy, and run internal tooling built on top of cloud infrastructure.

• Design, implement, ship, and maintain essential data pipelines, data lake, and reporting that will be used by executive leadership to decide on business priorities

• Integrate tooling with internal and customer customer workflows along with cloud service providers to streamline incident, change, and problem management processes

• Reduce the toil of running an incident, maintenance, through software automation and AI/ML solutions

What we need to see:

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience.

• 5+ years of experience.

• A kind team player who is adaptable in a highly dynamic and changing environment

• A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others.

• Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud systems in production.

• Experience in one or more of the following: Python, Go, Typescript, C/C++, Java

• In depth knowledge in one or more of Linux, Networking, Storage, and Containers.

Ways to stand out from the crowd:

• Experience building and integrating with incident tooling such as FireHydrant, Rootly, incident.io, blameless.

• Experience building plugins, templates, and entity schemas in Backstage

• Background with infrastructure technologies such as Kubernetes, terraform, docker, helm charts and durable execution systems such as temporal

• Background with basic ML and data science concepts and tooling such as Hive, Apache Beam, Apache Spark, Pytorch, etc

• Experience with business analytics tooling such as Looker, Tableau, PowerBI.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. If you're creative and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering 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.