Software Engineer - DGX Cloud

Nvidia • Seattle, WA

205d • $120,000 - $235,750

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA seeks a driven Software Engineer to advance our platform software, using open-source container runtimes and Kubernetes. This role is pivotal in influencing the future of computing!

Requirements

• BS/MS in Computer Science or related field (or equivalent experience).
• 3+ years of relevant work experience.
• 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 frameworks like Ansible and Terraform.
• 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 the Go programming language.
• 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.

Benefits

• Equity and benefits.

What This Job Offers

• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree