Senior Full-stack Web Applications Software Engineer

Reposted Yesterday
3 Locations
In-Office
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, build, and maintain full-stack web applications and microservices for a large-scale data platform. Collect requirements, analyze performance bottlenecks, support high-QoS services, and consult end users.
Summary Generated by Built In

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing 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. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

We are now looking for a Full-stack web applications software architect to join our Hardware Infrastructure team! Our team is building new infrastructure to deliver highly available services to run scalable web services, development environments, repositories, databases, data streams, and data visualization frameworks. This software development team is a multifaceted Agile software team with high production quality standards, producing tools used by engineering across the company for tracking, triaging and debugging various kinds of data processing flows. We are looking for motivated engineers to build and maintain a new generation of infrastructure that will host these services.

What you’ll be doing:

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

  • 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:

  • BS (or equivalent experience)

  • 5+ years of relevant experience

  • Proven knowledge of Java Language, common Java API's and JVM.

  • Experience with Javascript/TypeScript and Node.js

  • Experience with design and development of distributed microservices.

  • In depth understanding of locking, multi-threading and database concepts.

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

  • Excellent interpersonal skills

Ways to stand out from the crowd:

  • Demonstrable knowledge of Elastic Stack (Elasticsearch, Kibana, Logstash) and Kafka.

  • Background with SQL and at least one SQL database server and one non relational DB like Mongo.

  • Experience with Jenkins and/or Confluence plugin framework

  • Knowledge of JavaScript frameworks like Ember.js, Vue.js

  • Knowledge of Python or Golang

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

#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 27, 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

Java,Jvm,Javascript,Typescript,Node.Js,Microservices,Elastic Stack,Elasticsearch,Kibana,Logstash,Kafka,Sql,Mongodb,Jenkins,Confluence,Ember.Js,Vue.Js,Python,Golang
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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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