NVIDIA DGX Cloud is scaling GPU infrastructure across internal, partner, and cloud environments. We are looking for Principal Software Engineers to help shape the technical direction for production engineering, Kubernetes-based operations, automation, and reliability across large-scale GPU clusters.
This role is for senior technical leaders who can define architecture, lead through influence, build critical systems, and turn ambiguous infrastructure problems into durable software and operating models.
What you’ll be doing:
Define and execute the technical strategy for DGX Cloud cluster operations, building the automation, GitOps, and Day 2 reliability needed to operate large-scale GPU clusters across NVIDIA Cloud Partners (NCPs) and on-prem environments.
Lead design and implementation of systems for cluster lifecycle, validation, repair, upgrades, observability, and readiness.
Establish patterns for Kubernetes-based GPU cluster operations across partner and on-prem environments.
Identify and eliminate operational toil through software, APIs, automation, and agent-assisted workflows.
Set technical standards for production readiness, SLOs, incident response, handoff gates, and operational acceptance.
Mentor engineers and influence platform, infrastructure, storage, networking, security, and workload teams.
What we need to see:
15+ years of experience building and operating large-scale distributed systems or cloud infrastructure.
Deep experience with Kubernetes, Linux, infrastructure automation, and production operations.
Strong programming experience in Go, Python, or similar.
Proven ability to lead complex cross-org technical initiatives.
Experience designing reliable systems with clear SLOs, observability, incident response, and automation.
BS/MS in Computer Science or equivalent experience.
Ways to stand out from the crowd:
Experience with GPU clusters, AI/ML infrastructure, Kubernetes operators, GitOps, BMaaS/VMaaS, managed Kubernetes, or multi-cloud fleet operations.
Experience building internal platforms, control planes, lifecycle automation, or production readiness frameworks.
Track record of turning operational pain into reusable software, APIs, and engineering standards.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hard-working people on the planet working for us. If you're creative, hard-working and self-motivated, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- 15+ years of experience in large-scale distributed systems or cloud infrastructure
- Deep experience with Kubernetes, Linux, and infrastructure automation
- Strong programming experience in Go, Python, or similar
- Experience designing reliable systems with SLOs and observability
- BS/MS in Computer Science or equivalent experience
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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