Senior Full-Stack Software Engineer - VLSI Tools

Reposted 7 Minutes Ago
4 Locations
In-Office
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves full-stack web application development for VLSI design, including user consultation, performance analysis, and microservices creation.
Summary Generated by Built In

Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

We are now looking for a highly motivated Full-Stack Web Applications Engineers to join this dynamic and innovative Hardware Infrastructure team! Our team is building scalable web services for VLSI designs. This software development team is a multifaceted Agile software team with high production quality standards. We are looking for motivated engineers to build and maintain a new generation of services that enables greater chip design productivity.

What you’ll be doing:

  • Working on backend and frontend design and development of web applications targeting VLSI design and modeling.

  • Collecting requirements and provide consultation to end users about their needs and use cases.

  • Analyzing performance bottlenecks.

  • Supporting and maintaining large scale data platform with high QoS.

  • Building infrastructure and microservices for various big-data scenarios.

What we need to see:

  • 5+ years of experience.

  • Bachelors or Masters in Computer Science or related engineering or equivalent experience.

  • Knowledge of VLSI design, modeling and verification.

  • Experience with JavaScript and Node.js

  • Knowledge of modern frontend frameworks like Vue.js, React.js, Svelte, or Ember.js

  • Comprehensive grasp of web development core concepts and industry standards

  • Experience with design and development of distributed microservices.

  • In depth understanding of database concepts and object modeling.

  • Detailed knowledge of object oriented design, data structures and algorithms

  • Excellent interpersonal skills

Ways to stand out from the crowd:

  • In depth familiarity with coding assistant tools (i.e.: Cursor, Claude Code, Co-pilot)

  • Background with SQL and at least one SQL database server.

  • Experience of developing web services for chip design, modeling and verification.

  • Experience with MongoDB or other noSQL datastores and knowledge of Python or Golang.

  • Flexibility/adaptability for working in a dynamic diverse environment with different frameworks and requirements.

#LI-Hybrid 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

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

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Top Skills

Ember
Go
JavaScript
MongoDB
Node.js
Python
React
SQL
Svelte
Vue
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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