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 Platform API team within NVIDIA's DGX Cloud organization - a collaborative group of cloud platform engineers, architects, and SREs who are passionate about building and nurturing the declarative, Kubernetes-native control plane that powers GPU-accelerated infrastructure across multiple cloud providers. Together, we're empowering the world's leading AI teams to train and deploy at datacenter scale.
We design and extend Kube-like APIs, and we craft Go-based reconciliation controllers that thoughtfully turn high-level intent into production-ready AI infrastructure. We take pride in owning our code end-to-end, and we care deeply about the full lifecycle of multi-cloud GPU clusters, from customer onboarding and provisioning through upgrades and decommissioning. We partner closely with our runtime, cloud architecture, observability, and storage teams to solve sophisticated distributed systems challenges together. As a team, we're strengthening NVIDIA's approach to Cloud Native development.
What you will be doing:
Develop software systems to support large scale deployments of cloud infrastructure
Design and develop APIs to support Infrastructure as Code (IaC) automation and deployment workflows.
Responsible for contributing to multiple source code projects to fulfill NVIDIA requirements with software services
Work and collaborate with engineering managers, architects, designers, and frontend engineers to deliver high quality software
Automate the validation of software solutions with unit and integration tests
Participate in the ownership and health of CI/CD pipelines from dev to production environments
Collaborate with other specialists for feedback on proposed designs and product direction
Openly share successes and failures in a no blame environment
What we need to see:
BS in Computer Science, Information Systems, Computer Engineering or equivalent experience
8+ years of proven experience in large scale software development
Experience building and shipping services on Kubernetes
Background with using and chipping in to open-source projects
Collaborated with teams to write software to support cloud services at scale
Programming experience in a relevant language, e.g. Golang, Python
Communicate design and quality strategy in written, visual, and oral formats
Experience with a wide range of modern infrastructure tools and technologies
Ways to stand out from the crowd:
Experience with Kubernetes Cluster API, Terraform, Tinkerbell, and other infrastructure tooling
Practical experience with Azure, GCP, or AWS
Capable of refactoring software to run in systems such as Kubernetes
Ability to discuss and work with CSI, CNI, and CRI and/or familiarity with the CNCF and the tooling across the ecosystem
Upstream contribution in open source projects
#LI-Hybrid
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. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're a creative, curious, and driven technical leader, we want to hear from you!
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 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.NVIDIA Santa Clara, California, USA Office
2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara
Similar Jobs
.png)
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
