AI Infrastructure Engineer: Kubernetes & GPU Clusters

NVIDIA; United States; Remote; USD 184,000 - 288,000; Full time

Job summary

NVIDIA in the United States is hiring experienced software engineers with Kubernetes experience to help scale AI infrastructure, focusing on GPU resource scheduling and cluster operations.

You will join the DGX Cloud team building production systems, implementing monitoring, health management, and reliable, high-performance AI clusters; you will collaborate across NVIDIA to resolve incidents and improve services.

Qualifications

• Direct experience in a software engineering role within a highly technical organization with demonstrable impact.
• Software development experience with Kubernetes APIs and frameworks, not just operating a cluster.
• Strong communication, capable of cross-functional coordination across geographies.
• 5+ years in similar role and experience on large-scale production systems.
• Bachelor's degree in CS/Engineering/Physics/Math or equivalent.
• Knowledge of a systems programming language (Go, Python) and solid data structures/algorithms.

Responsibilities

• Work on production systems enabling scalable GPU clusters for AI workloads.
• Develop scheduling software for GPU resources on Kubernetes.
• Implement monitoring and health management for reliability and performance.
• Collaborate across teams to ensure reliable AI clusters and incident response.

Skills

Kubernetes

Go

Python

Cluster ops

GPU scheduling

Incident mgmt

Education

BS in Computer Science, Engineering, Physics, Mathematics

Tools

Slurm

Bright Cluster Manager

Job description

NVIDIA in the United States is hiring experienced software engineers with Kubernetes experience to help scale AI infrastructure, focusing on GPU resource scheduling and cluster operations.

You will join the DGX Cloud team building production systems, implementing monitoring, health management, and reliable, high-performance AI clusters; you will collaborate across NVIDIA to resolve incidents and improve services.