NVIDIA is seeking a Principal Software Engineer to join its innovative team, focusing on defining platform architecture for a global enterprise compute platform running thousands of nodes and tens of thousands of VMs and containers via OpenShift and KubeVirt. The role involves operationalizing internal AI inference systems by developing automated remediation pipelines and hardware watchdogs, driving strategic capacity planning, and leading complex migrations to Kubernetes orchestration. Ideal candidates have over 15 years of experience in compute platform engineering with expertise in Kubernetes architecture, virtualization technologies like KubeVirt, and infrastructure-as-code tools such as Terraform. Proficiency in Go or Python, deep knowledge of hardware technologies including GPUs, and strong leadership skills are essential for this role that demands hands-on management of pre-release hardware and advanced storage migrations across multi-cloud environments.
Define service tiers, SLAs, and automated cluster lifecycles for a global enterprise compute platform.
Develop automated remediation pipelines and hardware watchdogs for pre-release AI inference systems.
Drive capacity planning strategies to manage extreme hardware supply constraints and scale infrastructure.
Design self-service architectures and APIs that autonomous teams want to use for standard platforms.
Lead the migration of large legacy workloads into modern Kubernetes orchestration environments.
What we're looking for
15+ years experience in compute platform engineering, site reliability, or systems architecture with a focus on automation at massive scale.
Deep expertise in Kubernetes architecture and deploying virtualization architectures like KubeVirt and OpenShift.
In-depth knowledge of hardware technologies including GPUs and high-speed networking to mitigate large-scale failures.
Experience managing bleeding-edge pre-release hardware in production environments.
Proficiency in programming languages such as Go or Python, with expert-level infrastructure-as-code development skills (Terraform).
Strong leadership and influence over technical direction across autonomous teams without top-down mandates.
Solid understanding of microservices architecture and multi-cloud deployment strategies.
Market check
Salary context
This
$248,000–$391,000
range sits above
98%
of similar postings on FindRole.
Peer median band
$143,000–$244,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$165,000–$214,500
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.