Principal Software Engineer - DGX Cloud

NVIDIA AI; Seattle (WA); On-site; USD 180,000 - 250,000; Full time

Job summary

NVIDIA invites a Principal Software Engineer to join the DGX Cloud team in Seattle. You will lead the design and development of cloud infrastructure, APIs, and workflows that enable scalable AI factory deployments and secure lifecycle management.

The role emphasizes end-to-end code ownership, collaboration with platform engineers and SREs, and delivering safe, automated deployments for massive GPU-accelerated containers.

Responsibilities

• Lead design and development of cloud infrastructure, APIs, and workflows for scalable AI deployments.
• Own end-to-end code and lifecycle management for DGX Cloud platforms.

Skills

Kubernetes

Job description

Job Requisition ID
JR2023059
Job Category
Engineering
Time Type
Full time
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.