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Nvidia Senior Software Engineer - DGX Cloud API Services 
United States, Texas 
820383201

15.10.2025
US, WA, Seattle
US, Remote
US, CA, Santa Clara
time type
Full time
posted on
Posted 18 Days Ago
job requisition id

What you will be doing:

  • 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 a 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

What we need to see:

  • 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

Ways to stand out from the crowd:

  • 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

You will also be eligible for equity and .