Senior Full Stack Software Engineer, Data Platform

Posted 6 Days Ago
Santa Clara, CA, USA
In-Office
140K-270K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Build, scale, and optimize full-stack software tools for semiconductor manufacturing planning, analytics, and large-scale data visualization. Develop custom frontend frameworks and backend systems, manage complex datasets, support engineering tooling requests, integrate APIs, and own application stacks from frontend through backend processing. Collaborate with teams to define requirements, timelines, and reliable solutions while supporting production deployments, cloud infrastructure, and application monitoring.
Summary Generated by Built In

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. As an NVIDIAN, you will find yourself immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.


The NVIDIA Operations organization is seeking an experienced full stack software engineering professional for the position of Full Stack Software Engineer. As a member of our team, you will be an integral part of custom data analysis and production planning tools. We develop an in house suite of tools from the ground up, supporting semiconductor chip manufacturing planning, analytics, and custom visualizations for large scale data analysis.


What you'll be doing:

  • Supporting, planning, and implementing with team members and partners, custom front end tools to solve complicated planning and data analysis
  • Support ongoing requests from engineers for tooling needs and guarantee robust performance
  • Design and implement custom front end frameworks to support various engineering analysis
  • Take ownership of software stacks and their underlying logic
  • Build, scale, and optimize full stack software tools

What we need to see:

  • Bachelor’s or Master’s degree or equivalent experience in Computer Science, Information Systems, or a related field; strong programming foundation in JavaScript/TypeScript, Python, database architecture development, and web application development
  • 5+ years of proven full-stack software development experience
  • Experience defining projects, gathering requirements, establishing timelines, and delivering reliable solutions
  • Strong experience owning and managing full stack applications that go from the front end to backend processing and manage complex datasets as part of a data tools solution
  • Strong JavaScript/TypeScript experience with familiarity in Svelte/SvelteKit and Node.js, including server-side development, APIs, authentication, integrations, modern HTML/CSS, and experience with frontend frameworks, data visualization, backend technologies, infrastructure, and database design
  • Experience working with technologies such as JavaScript/TypeScript, Svelte/SvelteKit, Vue, React, D3, PHP, Node.js, Python, Apache, Nginx, PostgreSQL, Athena, Redshift
  • Working experience with Git, CI/CD workflows, and production deployments
  • Familiarity with AWS/cloud architecture, Linux, virtual machines, clusters, and application monitoring/troubleshooting

Ways to stand out from the crowd:

  • Self-starter with a positive, practical problem-solving approach; strong organizational and multitasking skills
  • Experience setting up and maintaining Apache/Nginx environments
  • Background with Docker containers, microservice architecture, and AWS
  • Experience building custom tools that connect APIs to visual frontend interfaces
  • Understanding of semiconductor operational processes across chips, boards, systems, and servers

With competitive salaries and a generous benefits package, we are the technology industry's best employers. If you are a creative engineering leader with a real passion for technology, we want to hear from you. Come build the future with us!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 25, 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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field, or equivalent experience
  • Strong programming foundation in JavaScript or TypeScript and Python
  • Experience with database architecture development and web application development
  • 5+ years of full-stack software development experience
  • Experience defining projects, gathering requirements, establishing timelines, and delivering reliable solutions
  • Experience owning and managing full-stack applications spanning frontend, backend processing, and complex datasets
  • Strong JavaScript or TypeScript experience
  • Familiarity with Svelte or SvelteKit and Node.js
  • Experience with server-side development, APIs, authentication, integrations, HTML/CSS, frontend frameworks, data visualization, backend technologies, infrastructure, and database design
  • Experience with technologies including Vue, React, D3, PHP, Apache, Nginx, PostgreSQL, Athena, or Redshift
  • Working experience with Git, CI/CD workflows, and production deployments
  • Familiarity with AWS or cloud architecture, Linux, virtual machines, clusters, and application monitoring or troubleshooting
  • Experience setting up and maintaining Apache or Nginx environments
  • Experience with Docker containers, microservice architecture, and AWS
  • Experience building custom tools connecting APIs to visual frontend interfaces
  • Understanding of semiconductor operational processes across chips, boards, systems, and servers

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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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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