Senior Software Engineer - DGX Cloud

NVIDIA•Seattle, WA

About The Position

NVIDIA is seeking a Senior Software Engineer for the DGX Cloud organization, specifically within the DSX Kubernetes Fleet team. This team focuses on building and managing a massive GPU-accelerated container platform using Kubernetes. They are responsible for automation, lifecycle management, and deployment safety, empowering AI teams to train and deploy at scale with a focus on resiliency and security. The team designs and builds APIs and workflows for AI infrastructure management, taking ownership of the entire lifecycle of AI Factory Kubernetes clusters. They aim to enable the rapid creation of new AI Factories through open software development.

Requirements

BS/MS in Computer Science or related field (or equivalent experience).
10+ 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.

Nice To Haves

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.

Responsibilities

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.