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Senior Storage Software Engineer - DGX Cloud
NVIDIA United States $224k - $431k/yr
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Why this grade This listing scored 39/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Join NVIDIA, a leader in digital imagery, PC gaming, and advanced computing, as a Principal Software Engineer for DGX Cloud. At NVIDIA, our innovation legacy drives us, fueled by the passion of our world-class team. This role presents an outstanding opportunity to lead and build the future of cloud computing on ambitious projects that challenge technological limits. Are you passionate about Kubernetes and AI and want to help build the best platform for ML/AI infrastructure? Do you thrive when your work directly empowers teams to push the boundaries of what's possible? We're the DSX Kubernetes Fleet team within NVIDIA's DGX Cloud organization - a collaborative group of cloud platform engineers, architects, and SREs who are passionate about building automation, lifecycle management, and deployment safety to our massive GPU accelerated container platform. We are empowering the world's leading AI teams to train and deploy at AI Factory scale, with resiliency and security as top priorities.
We design and build APIs and workflows that thoughtfully turn high-level deployment intent into production-ready AI infrastructure management. We take pride in owning our code end-to-end, and we care deeply about the full lifecycle of AI Factory Kubernetes clusters, from provisioning through upgrades and decommissioning. We build software in the open, with a goal of enabling new AI Factories to be built at speed of light.
What you will be doing:
Be part of a small, dynamic team exploring innovative ways to simplify the development, deployment, and monitoring of GPU and DPU accelerated applications.
Design and develop software for managing a fleet of Kubernetes clusters for GPUs and DPUs.
Join the core group working on Cloud Native technologies, improving NVIDIA accelerators in the Kubernetes environment.
Collaborate with engineering teams across NVIDIA to ensure seamless integration of your software.
Automate and optimize build, test, integration, and release processes for cloud-native applications.
Efficiently multitask across different projects, addressing evolving priorities effectively.
What we need to see:
BS/MS in Computer Science or related field (or equivalent experience).
15+ years of proven work experience in large scale environments.
Expert-level knowledge in systems programming languages (Go, C) with a solid grasp of Data Structures and Algorithms.
Strong understanding of Container Orchestration Systems (Kubernetes) and Container Technology.
In-depth knowledge and experience with Unix/Unix-like kernel internals, particularly Linux.
Hands-on automation experience with modern infrastructure tools and technologies.
Proven experience in setting up, maintaining, and automating continuous deployment systems.
Strong background in Cloud Computing and Distributed Software design and development.
Understanding of performance, security, and reliability in complex distributed systems.
Ways to stand out from the crowd:
Extensive experience with the Go programming language.
Deep understanding of rack-scale GPU systems
Strong background with Gitlab, Argo, Flux, and other CI/CD systems.
Significant hands-on experience with Containers and Kubernetes.
Hands-on experience with container workload isolation and confidential computing.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: E-commerce Payments and Gaming Marketplace. If you're a creative Technical Program Manager who enjoys autonomy and shares our passion for technology, 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.
Applications for this job will be accepted at least until August 11, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Originally posted on Himalayas
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Where this listing came from
- 10 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.