Nvidia Senior Methodology Software Engineer 

United States, California 

643888928

What you’ll be doing:

• 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

What we need to see from you:

• A BS, MS, or PhD in Computer Science/Engineering (or equivalent experience) and 5 - 7 years of relevant work experience

• Experience with Python, JavaScript, and Unix/Bash scripting

• Perl experience preferred

• 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