Frontend Web Engineer — Cloud UI (Equity)

NVIDIA

Santa Clara (CA)

On-site

USD 152,000 - 242,000

Full time

6 days ago
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Job summary

NVIDIA is seeking a Frontend Web Software Engineer to build the next generation of the NVIDIA Cloud Platform (NGC). You’ll work on React-based web apps with a focus on secure, responsive interfaces for enterprise customers, collaborating with Architects, Designers, and Backend engineers.

Expect a growth mindset and opportunities to apply AI tools to improve development efficiency and code quality while shaping the architecture of increasingly large components and workflows.

Qualifications

  • At least 5 years of frontend experience.
  • Bachelor’s degree in CS, Web Dev, or related field.
  • Experience on medium-to-large frontend projects.
  • Experience with React.js or similar framework.
  • Strong UI development skills for responsive UX.
  • Ability to translate requirements into coded solutions.
  • Ability to build tests using established patterns.
  • Open attitude toward sharing work-in-progress.

Responsibilities

  • Build and implement features for core NGC services including IAM and billing.
  • Develop the unified portal for NVIDIA cloud products.
  • Apply AI tools to boost code quality and stability.
  • Evolve app architecture for large, complex components.
  • Collaborate with Product, UX, and Backend to deliver elegant UIs.
  • Participate in all stages of the product lifecycle.
  • Estimate timelines and coordinate delivery.
  • Present work and research to colleagues across the company.

Skills

React.js
JavaScript
HTML
CSS
UI development
Frontend architecture

Education

Bachelor's degree in Computer Science

Tools

Typescript
Webpack
Cypress
Selenium
Jest

Job description

NVIDIA is seeking a Frontend Web Software Engineer to build the next generation of the NVIDIA Cloud Platform (NGC). You’ll work on React-based web apps with a focus on secure, responsive interfaces for enterprise customers, collaborating with Architects, Designers, and Backend engineers.

Expect a growth mindset and opportunities to apply AI tools to improve development efficiency and code quality while shaping the architecture of increasingly large components and workflows.

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