Senior Methodology Engineer, Web Development

NVIDIA • Santa Clara, CA

1d

About The Position

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’ll be immersed in a diverse, supportive 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. We are currently looking for a Methodology/CAD engineer to join our team in our Circuit Solutions Group! In this role you'll be building solutions to boost productivity and efficiency of our custom circuit designs. You will be engaging with multi-functional teams to ensure the robustness of the designs that will have direct impact across all product lines.

Requirements

• A BS, MS, or PhD in Computer Science/Engineering (or equivalent experience)
• 3+ years of relevant work experience is required
• Experience with Python, JavaScript, and Unix/Bash scripting
• Familiarity with REST APIs, HTTP web servers, and database systems
• Background with containerization (Docker…) and cluster management (Kubernetes…)
• Familiar with a least one front end framework such as React JS, Vue JS or Angular
• Background with handling large datasets and parallel processing in Python
• Self motivated, and able to switch between multiple projects

Nice To Haves

• Previous work in VLSI, ASIC, or EDA is a definite plus
• Enjoy working with multiple levels and teams across organizations
• Effective interpersonal and technical presentation skills
• Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level