Senior Frontend Web Applications Software Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance Computing, VisualizationIndustries

Requirements

BS (or equivalent experience)
5+ years of relevant frontend development experience
Proven knowledge of JavaScript/TypeScript and modern frontend frameworks (Vue preferred, or React or Angular)
Strong skills in HTML5, CSS3, and responsive design
Experience building and maintaining large-scale web applications with high usability standards
Solid understanding of browser rendering, performance optimization, and accessibility best practices
Familiarity with RESTful APIs and GraphQL for integrating with backend services
Excellent interpersonal and collaboration skills

Responsibilities

Designing and developing user-facing features for modern web applications
Creating responsive, accessible, and visually compelling UI experiences
Collecting requirements and collaborating with end users to ensure workflows and interfaces meet their needs
Optimizing frontend performance and scalability
Working closely with designers, product managers, and backend engineers to deliver seamless user experiences
Building data visualization dashboards and interactive components for complex data flows

Skills

Key technologies and capabilities for this role

JavaScriptTypeScriptVueReactAngular

Questions & Answers

Common questions about this position

What is the salary and benefits like for this role?

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Senior Frontend Engineer role?

Candidates need a BS or equivalent, 5+ years of frontend development, proven knowledge of JavaScript/TypeScript and modern frameworks like Vue (React or Angular), strong HTML5/CSS3 and responsive design skills, experience with large-scale web apps, browser performance, accessibility, RESTful APIs/GraphQL, and excellent collaboration skills.

What is the team culture like at NVIDIA for this role?

The role is on a multifaceted Agile team with high production quality standards, building infrastructure and tools used across engineering for tracking, triaging, and debugging data flows.

What makes a candidate stand out for this position?

Stand out with knowledge of data visualization libraries like D3.js or Chart.js, state management like Redux or Vuex, design systems like Material UI or Storybook, automated testing with Jest or Cypress, CI/CD tools like Webpack or Vite, plus a strong eye for design.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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