Senior Software Engineer - DGX Cloud

NVIDIA•Seattle, WA

19h

About The Position

NVIDIA is seeking a driven Software Engineer to advance our Kubernetes and AI Observability. This role involves being part of a small, dynamic team exploring innovative ways to simplify the development, deployment, and monitoring of GPU and DPU accelerated applications. The engineer will enable GPUs and DPUs as first-class resources in container orchestrators such as Kubernetes, join the core group working on Cloud Native technologies, and improve NVIDIA accelerators in the Kubernetes environment. Collaboration with engineering teams across NVIDIA is essential to ensure seamless integration of software. The role also includes automating and optimizing build, test, integration, and release processes for cloud-native applications, and efficiently multitasking across different projects while addressing evolving priorities.

Requirements

BS/MS in Computer Science or related field (or equivalent experience).
5+ years of relevant work experience.
Expert-level knowledge in systems programming languages (e.g. Go) 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 frameworks like Ansible and Terraform and proven experience in setting up, maintaining, and automating continuous integration 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 observability/telemetry.
Strong background with Gitlab, Argo, Flux, and other CI/CD systems.
Significant hands-on experience with Containers and Kubernetes.

Responsibilities

Be part of a small, dynamic team exploring innovative ways to simplify the development, deployment, and monitoring of GPU and DPU accelerated applications.
Enable GPUs and DPUs as first-class resources in container orchestrators such as Kubernetes.
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.