Requirements:

BS/MS in Computer Science or related field (or equivalent experience)
8+ years of relevant work experience
Experience in building foundational SaaS systems at scale, such as API design, user management, or authentication and authorization flows
Proficiency in Go and building Go services at scale
Experience with deploying and maintaining services atop Kubernetes
Experience writing automation with Kubernetes (i.e. Controllers, CustomResourceDefinitions, etc.)
Background with AWS or GCP and related technologies like S3, GCS, RDS, etc.
Ability to solve issues across multiple layers: infrastructure, Kubernetes, application runtime
Communicate effectively across a big organization, both within and outside the Kubernetes Platform organization

Nice to Haves:

Experience working on internal tools and services for large engineering organizations
Experience working across multiple layers of cloud infrastructure such as CSP APIs, Terraform, Kubernetes, and custom controllers and automation atop
Experience working deeply in and with the upstream Kubernetes apiserver code
Background with user-facing APIs with a focus on customer and/or developer experience

Help build out and scale customer-facing APIs and systems for the DGX Cloud Kubernetes Platform
Work with the Runtime and Cluster Architecture teams to provide complete GPU-accelerated Kubernetes clusters to a wide variety of NVIDIA initiatives
Be the voice of our customers to ensure they have a smooth experience to access the compute they need for the workloads they want
Build platform services for other NVIDIA developers to bring their services to NVIDIA Kubernetes clusters

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization
Opportunity to work with forward-thinking and hardworking individuals
Be part of a team accelerating the next wave of artificial intelligence