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.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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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.”
