Senior AI Infrastructure Engineer - DGX Cloud

NVIDIA Corporation; Santa Clara (CA); On-site; USD 148,000 - 288,000; Full time

Job summary

A leading tech employer is seeking AI Infrastructure Engineers to ensure reliability of GPU cloud services. Responsibilities include designing internal tooling, developing data pipelines, and automating incident responses. Ideal candidates will have a strong computer science background and experience with cloud environments.

Qualifications

• 5+ years of relevant experience.
• Experience with infrastructure automation and distributed systems.

Responsibilities

• Design, build, deploy, and operate internal tooling on cloud infrastructure.
• Develop and maintain data pipelines and reporting tools.

Skills

Python

Go

Typescript

C/C++

Java

Education

BS degree in Computer Science

Tools

Kubernetes

Terraform

Docker

Helm

Temporal

Hive

Spark

Pytorch

Looker

Tableau

PowerBI

Job description

AI Infrastructure Engineers at NVIDIA

Ensure that our internal and external facing GPU cloud services run with maximum reliability and uptime, while enabling developers to make changes through careful planning and capacity management.

We seek engineers with a strong background in computer science fundamentals interested in building tooling, reporting, automation, and AI to support a dynamic organization.

What you’ll be doing:

1. Design, build, deploy, and operate internal tooling on cloud infrastructure.
2. Develop and maintain data pipelines, data lakes, and reporting tools used by leadership for decision-making.
3. Integrate tooling with workflows and cloud providers to streamline incident, change, and problem management.
4. Automate incident response and maintenance tasks using software automation and AI/ML solutions.

What we need to see:

• BS degree in Computer Science or related field, or equivalent experience.
• 5+ years of relevant experience.
• Team player with adaptability in a dynamic environment.
• Proven ability to initiate projects and collaborate effectively.
• Experience with infrastructure automation and distributed systems in large-scale cloud environments.
• Skills in Python, Go, Typescript, C/C++, Java.
• Knowledge of Linux, Networking, Storage, and Containers.

Ways to stand out:

• Experience with incident tooling like FireHydrant, Rootly, incident.io, blameless.
• Building plugins and schemas in Backstage.
• Knowledge of Kubernetes, terraform, docker, helm, Temporal.
• Familiarity with ML/data science tools like Hive, Spark, Pytorch.
• Experience with analytics tools such as Looker, Tableau, PowerBI.

NVIDIA is a leading employer in tech innovation, especially in AI, HPC, and Visualization. We value creativity, autonomy, and challenge-seeking individuals. Our invention, the GPU, is central to modern computing.

The salary range is $148,000 - $287,500, determined by location, experience, and market rates. Benefits and equity are also offered. We accept applications continuously and are committed to diversity and equal opportunity.