Senior Methodology Software Engineer

Nvidia
US, CA, Santa Clara2026-02-27onsite

About the job

Join NVIDIA’s diverse team of innovators shaping the future of technology. From revolutionizing gaming and graphics with our GPU invention to pioneering AI through deep learning, we’re constantly evolving to tackle global challenges. At NVIDIA, your unique perspective can contribute to our mission of amplifying human potential. Whether you’re an experienced professional or a recent graduate, there’s a place for you in our inclusive environment. Together, let’s push the boundaries of innovation and make a lasting impact on the world. Join us in our exciting journey to transform computing and enhance human intelligence. Working in NVIDIA's Mixed Signal Design team, you will be contributing in the area of Software Methodology, designing and building software workflows to assist hardware design and debug.

Responsibilities

Automating hardware testing workflows using Python and Perl

Using AI to improve user workflows involving data collection, querying, and analysis

Collaborating with various teams to automate data parsing and analysis through web applications and compute farms

Designing robust user interfaces to simplify sophisticated hardware tasks

Building data visualization interfaces for processed datasets

Optimizing parallel processing large datasets using compute farms and AI agents

Assisting with building and debugging hardware testing scripts in Python and JavaScript

Qualifications

Minimum

A BS, MS, or PhD in Computer Science/Engineering (or equivalent experience) and 5 plus years of relevant work experience

Experience with Python, JavaScript, and Unix/Bash scripting

Familiarity with REST APIs, HTTP web servers, and database systems

Background with handling large datasets and parallel processing in Python

Self motivated, and able to switch between multiple projects

Preferred

Perl experience preferred