Senior Full-Stack Engineer, AI Infra & GPU Clusters (Equity)

NVIDIA; Raleigh (NC); On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring experienced software engineers to help scale AI infrastructure. You will work on production systems enabling large GPU clusters for AI workloads and design a massively distributed platform for identification, diagnosis, and remediation of non-performant assets.

You will collaborate across teams to ensure reliability and performance across React, TypeScript, Golang, Kubernetes, and PostgreSQL stacks. Expect a challenging, impactful role at NVIDIA.

Qualifications

• Experience in a software engineering role within a highly technical organization with demonstrable impact.
• Strong communication skills to work with multi-functional teams and across geographies.
• 5+ years in similar role and experience on large-scale production systems.
• 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.

Responsibilities

• Be part of a DGX Cloud team responsible for production systems enabling large GPU clusters for AI workloads.
• Design and develop a massively distributed scalable platform to identify, diagnose, and remediate non-performant GPU assets.
• Collaborate across NVIDIA teams to ensure production AI clusters run reliably and with maximum performance.
• Work across product stack: React, Web Components, TypeScript, Golang, PostgreSQL, Temporal, Bazel, Kubernetes.

Skills

React

TypeScript/JavaScript

Golang

SQL

Distributed systems

Kubernetes

Communication

Education

BS in Computer Science or Engineering or equivalent experience

Job description

NVIDIA is hiring experienced software engineers to help scale AI infrastructure. You will work on production systems enabling large GPU clusters for AI workloads and design a massively distributed platform for identification, diagnosis, and remediation of non-performant assets.

You will collaborate across teams to ensure reliability and performance across React, TypeScript, Golang, Kubernetes, and PostgreSQL stacks. Expect a challenging, impactful role at NVIDIA.