Application Engineering Intern

Advantest • Richardson, TX

13h

About The Position

We are looking for a motivated and technically curious intern to join our
Application Engineering team. In this role, the intern will have the opportunity
to learn and grow their analytical and quantitative skills while doing test
program debugging and development. They will also work on generating templates
that would allow AI integration for automated test program generation.

Why This Role Matters

AI chips are pushing the boundaries of performance and complexity, and the
engineering workflows that bring them to life must evolve just as fast. By
embedding AI-driven automation directly into our test and validation pipeline,
you will help reduce time-to-market, improve yield, and enable the team to focus
on high-value engineering challenges instead of repetitive manual tasks. Your
work will have a tangible impact on products that power the future of artificial
intelligence.

What You Will Gain

Hands-on experience applying AI to real-world semiconductor engineering
problems.
Deep exposure to the full silicon lifecycle — from design validation through
high-volume manufacturing.
Mentorship from experienced test and product engineers at the forefront of AI
chip development.
A portfolio of automation projects you can showcase to future employers.
The opportunity to shape how a world-class engineering team integrates AI
into daily operations.

Requirements

• Currently pursuing a B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Strong programming skills in Python; familiarity with scripting, data manipulation (Pandas, NumPy), and API integration.
• Demonstrated interest in or hands-on experience with AI/ML tools, LLMs, prompt engineering, or AI-assisted development (e.g., Claude, ChatGPT, Copilot).
• Ability to learn quickly, work independently, and communicate technical concepts clearly to cross-functional teams.

Nice To Haves

• Exposure to any of the following is a plus: semiconductor test (ATE), silicon validation, test program development, or hardware debug.

Responsibilities

• Use large language models (LLMs) and AI coding assistants to rapidly prototype scripts, data pipelines, and analysis tools that support test program development.
• Automate repetitive engineering tasks such as test data extraction, result parsing, yield analysis, and report generation using AI-augmented toolchains.
• Collaborate with test, design, and product engineers to identify manual bottlenecks and implement intelligent automation solutions.
• Build and maintain dashboards or internal tools that provide real-time visibility into test metrics, yield trends, and program health.
• Evaluate and integrate emerging AI tools and APIs into existing engineering workflows to improve team productivity.
• Document processes, automation recipes, and best practices to enable team-wide adoption.

What This Job Offers

• Career Level: Intern
• Number of Employees: 1,001-5,000 employees