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Stack React Jobs in California (NOW HIRING)

Nourish

Senior Full Stack Engineer

San Francisco, CA · On-site +1

Bachelor's or Master's in Computer Science, Engineering, or related field. * 5+ years as a Software Engineer with user-facing product experience. * 3+ years experience with our tech stack (React ...

AllSTEM Connections

Data Engineer V

Oakland, CA · On-site

$110K - $166K/yr

Design and develop high-performance web application backends and user-facing frontends using a modern stack (React, TypeScript, Python). • Data Integration: Build and maintain scalable APIs to ...

Clera

Founding Product Engineer

San Francisco, CA · On-site

Build and wire up APIs for the features you develop, working across our full stack (React, TypeScript, Go, PostgreSQL) * Contribute to a culture of teamwork and high-quality engineering, leveraging ...

Clera

Founding Product Engineer

San Francisco, CA · On-site

Build and wire up APIs for the features you develop, working across our full stack (React, TypeScript, Go, PostgreSQL) * Contribute to a culture of teamwork and high-quality engineering, leveraging ...

Bild AI

Founding Product Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Work across the stack: React frontend, Python backend + infra * Have ownership on product direction and approach across everything we build We want * Great product taste - you care about how things ...

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All JobsStack React JobsStack React Jobs in California

Stack React information

What is the difference between Stack React vs React Developer?

AspectStack React
Primary FocusBuilding full-stack applications using React for frontend and backend technologies
Required SkillsReact, Node.js, Express, databases, API integration
Work EnvironmentFull-stack development teams, both frontend and backend roles
CertificationsReact certifications, full-stack development courses

Stack React involves working on both frontend and backend components of applications, requiring knowledge of React along with server-side technologies. In contrast, a React Developer typically focuses solely on frontend development using React. While React Developers specialize in UI/UX and client-side code, Stack React professionals handle the entire application stack, making them suitable for full-stack projects.

What are popular job titles related to Stack React jobs in California? For Stack React jobs in California, the most frequently searched job titles are:
What job categories do people searching Stack React jobs in California look for? The top searched job categories for Stack React jobs in California are:
What cities in California are hiring for Stack React jobs? Cities in California with the most Stack React job openings:
Stack React jobs near you
Infographic showing various Stack React job openings in California as of August 2026, with employment types broken down into 1% Internship, 78% Full Time, 14% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Full Stack Software Engineer - DGX Cloud

Nvidia

Santa Clara, CA

Full-time

Posted 7 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

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.

What you will be doing:

  • You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads.

  • 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.

  • Working across all of our product stack: React, Web Components, TypeScript, Golang, PostgreSQL, Temporal, Bazel, Kubernetes

What we need to see:

  • 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

Ways to stand out from the crowd:

  • 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

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you are creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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