Senior Full Stack Software Engineer - DGX Cloud

NVIDIA•US, NC, Remote, WA

About The Position

NVIDIA is hiring experienced software engineers to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with cluster operations, operator development, node health monitoring and working with GPU resource scheduling. We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications. If you're creative, passionate about GPUs, and love having fun, please apply today! For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.

Requirements

Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work.
Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.
5+ years in similar role and experience on large-scale production systems.
Experience with common software engineering principles, tools and techniques
You possess a BS in Computer Science or Engineering or equivalent experience
6+ years of experience doing full-stack engineering
3+ years building and shipping consumer-facing products
Proficiency in React, TypeScript/JavaScript, and Golang
Proficiency with a SQL database

Nice To Haves

Technical competency in managing and automating large-scale distributed systems independent of cloud providers.
Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Base Command Manager).
Empathy for users, attention to detail, and a passion for creating world-class user experiences
Prior experience in asynchronous workflows and/or event driven architecture.
Proven operational excellence in maintaining reliable and performant infrastructure.
A good understanding of how to use LLMs responsibly and the perils of blindly consuming their output

Responsibilities

Designing and developing a massively distributed scalable platform which would be used to identify, diagnose and remediate non-performant GPU assets.
Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance.
Evaluating system failures and improving services based on a well-defined incident management process.