Senior AI Infra Engineer - Equity Eligible GPU Cloud

NVIDIA Corporation; United States; Hybrid; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior AI Infrastructure Engineer for the DGX Cloud group to design, build, and maintain large-scale production systems with focus on reliability and efficiency. The role spans software and systems engineering, automation, and cloud technologies.

You’ll work on multi-GPU clusters, private/public cloud tooling, and modern orchestration using Kubernetes and OpenStack, while taking part in on-call rotations and capacity planning.

Qualifications

• BS degree in Computer Science or a related technical field involving coding, or equivalent experience.
• 5+ years of experience in infrastructure engineering or related field.
• Track record balancing own initiatives with collaborative projects.
• Background in automation and distributed systems architecture for large-scale clouds.
• Experience with Python/Go/C/C++, Java; Linux, Networking, Storage, Containers.
• Experience with Public Cloud, IaC and Terraform; distributed systems experience.

Responsibilities

• Design, build, deploy, and run tooling for large-scale AI training/inference platform on cloud infrastructure.
• Characterize and analyze performance on multi-GPU, multi-node clusters.
• Oversee lifecycle from design to deployment to operation and refinement.
• Support services with design consulting, tools, platforms, capacity management, and reviews.
• Maintain live services by monitoring availability, latency, and health.
• Scale systems via automation; drive reliability and velocity improvements.
• Participate in blameless postmortems and on-call rotation.

Skills

Python

Go

C/C++

Java

Linux

Networking

Cloud

Kubernetes

Terraform

IAAC

Distributed systems

Education

BS in CS or related technical field

Tools

Terraform

OpenStack

Slurm

Job description

NVIDIA is seeking a Senior AI Infrastructure Engineer for the DGX Cloud group to design, build, and maintain large-scale production systems with focus on reliability and efficiency. The role spans software and systems engineering, automation, and cloud technologies.

You’ll work on multi-GPU clusters, private/public cloud tooling, and modern orchestration using Kubernetes and OpenStack, while taking part in on-call rotations and capacity planning.