NVIDIA’s DGX Cloud team seeks Principal Software Engineers to lead technical direction in Kubernetes-based operations, automation, and reliability for large-scale GPU clusters across internal and cloud partner environments. This senior role involves defining the architecture for cluster lifecycle management, validation, repair, upgrades, observability, and readiness, while establishing patterns for Kubernetes-based GPU cluster operations. Key responsibilities include reducing operational overhead through software and automation, setting technical standards for production readiness, mentoring engineers, and influencing cross-functional teams. Ideal candidates have over 15 years of experience in building and operating large-scale distributed systems or cloud infrastructure, with expertise in Kubernetes, Linux, Go, Python, and production operations. Experience with GPU clusters, AI/ML infrastructure, GitOps, and multi-cloud fleet operations is a plus.
Skills
Kubernetes
Go
Python
GitOps
Linux
Docker
Terraform
CI/CD
Prometheus
Grafana
PostgreSQL
AWS
Azure
Google Cloud Platform
GPU
AI
ML
SLOs
observability
incident response
automation
BMaaS
VMaaS
What you'll do
Define and execute technical strategy for DGX Cloud cluster operations.
Lead design and implementation of systems for GPU cluster lifecycle management.
Establish Kubernetes-based operational patterns across diverse environments.
Identify and automate processes to reduce operational overhead in large-scale clusters.
Set technical standards for production readiness, SLOs, and incident response.
What we're looking for
15+ years experience in building and operating large-scale distributed systems or cloud infrastructure.
Deep expertise with Kubernetes, Linux, infrastructure automation, and production operations.
Strong programming skills in Go, Python, or similar languages.
Proven leadership in complex cross-organizational technical initiatives.
Experience designing reliable systems with clear SLOs, observability, incident response, and automation.
BS/MS in Computer Science or equivalent practical experience.
Market check
Salary context
This
$272,000–$431,250
range sits above
100%
of similar postings on FindRole.
Peer median band
$138,060–$226,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$151,875–$215,850
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.