AI Automation Engineering Intern

Advantest America; San Jose (CA); On-site; USD 26,000 - 38,000; Full time

Benefits offered by this job

Hands-on experience

Mentorship from experts

Opportunity to showcase projects

Job summary

A leading semiconductor company in San Jose seeks a motivated intern for the Silicon Test Engineering team. This role involves designing AI-powered automation workflows to enhance silicon test processes, using large language models for rapid prototyping, and collaborating with engineers to improve productivity. Interns will gain hands-on experience in semiconductor engineering, mentorship, and exposure to the full silicon lifecycle. This opportunity is perfect for those looking to make a tangible impact on AI-driven technologies.

Qualifications

• Motivated and technically curious.
• Experience or coursework in AI and automation.
• Ability to collaborate with engineers.

Responsibilities

• Design, develop, and deploy AI-powered automation workflows.
• Automate repetitive engineering tasks.
• Collaborate with engineers to identify manual bottlenecks.
• Collaborate with test, design, and product engineers to identify bottlenecks and implement intelligent automation solutions.
• Build and maintain dashboards or internal tools for real-time visibility into test metrics, yield trends, and program health.
• Evaluate and integrate emerging AI tools and APIs to improve team productivity and document best practices.

Skills

AI-powered automation

Large language models (LLMs)

Dashboard development

Collaborative problem solving

Job description

About the Role

We are looking for a motivated and technically curious intern to join our Silicon Test Engineering team. In this role, you will leverage AI and modern automation tools to build intelligent workflows that accelerate the development, validation, and production testing of next‑generation AI chips. This is a unique opportunity to work at the intersection of AI‑driven software automation and cutting‑edge silicon hardware.

What You Will Do

• Design, develop, and deploy AI‑powered automation workflows to streamline silicon test processes, from loadboard bring‑up through high‑volume production.
• 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.

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.