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NVIDIA

Designs the chips and software that power AI

Enterprise Product Engineer - Fullstack

Full-Stack EngineeringPosted on Nov 11
Full-timeRemote

About the Job

Requirements

  • A B.S. degree or equivalent experience.
  • At least 8 years of software engineering experience across frontend and backend domains.
  • Proficiency with React, Next.js, TypeScript, and modern web development practices.
  • Strong backend skills in Golang, including experience with Protobuf/gRPC, OpenAPI, and building APIs for distributed systems.
  • Hands-on experience with Kubernetes, cloud infrastructure such as AWS, GCP, or Azure, and SQL databases.
  • Ability to lead or maintain open-source projects, with a bias for shipping.
  • Strong product intuition and a history of working closely with design or product teams.
  • Experience using AI agents in production to accelerate software development.
  • Empathy for developers and motivation to simplify complex infrastructure into useful experiences.

Responsibilities

  • Design and build fullstack features with React/Next.js and Go to help developers launch cloud GPU environments.
  • Shape the developer experience through developer-tools thinking and customer empathy.
  • Own large product areas end-to-end, from UI/UX flows to cloud backend APIs.
  • Collaborate with design, product, and marketing to build user experiences and landing surfaces.
  • Drive open-source contributions and cultivate community engagement with open infrastructure libraries.
  • Architect scalable systems using Kubernetes, SQL, and protobuf-based APIs.
  • Define and uphold best practices for code quality, testing, and release processes.

Desired Qualifications

  • Prior experience building developer tools, cloud platforms, or command-line interfaces/software development kits for technical users.
  • Deep knowledge of container orchestration, system design, and reliability patterns.
  • A track record of open-source leadership or maintainer status on high-visibility projects.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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