AI Infrastructure Applications Engineer Intern

Advantest is seeking an AI Infrastructure Applications Engineer Intern to support its Velocity EDA-to-ATE software platform and AI-based engineering workflows. The intern will assist with semiconductor test conversion, debugging, automation scripting, data analysis, validation, regression testing, and documentation while collaborating with engineering teams.

What you'll do:

• Assist in supporting Velocity EDA-to-ATE conversion workflows for semiconductor applications
• Participate in conversion activities involving formats such as STIL, WGL, EVCD, and related environments
• Support debugging and analysis of conversion, timing, and pattern-related issues under guidance
• Contribute to the development of automation scripts and utilities using Python, Java, or similar technologies
• Collaborate with internal engineering teams to gain exposure to DFT, simulation, and ATE production workflows
• Assist in log analysis, data processing, and structured data interpretation
• Support validation and regression testing of conversion flows
• Participate in AI-assisted engineering workflows, including:
• Pattern debug and diagnostics
• Log parsing and data analysis
• Automation and script generation tasks
• Document workflows, findings, and best practices to support knowledge sharing

What they're looking for:

• Currently pursuing a bachelor's or master's degree in electrical engineering, computer engineering, computer science, or a related discipline
• Foundational understanding of digital design or semiconductor fundamentals
• Experience or familiarity with programming or scripting languages such as Python, Java, or C++
• Experience in AI/ML applications in engineering workflows
• Strong analytical and problem-solving abilities
• Effective communication and collaboration skills
• Demonstrated interest in automation, semiconductors, or test engineering
• Willingness to learn and contribute in a dynamic engineering environment
• Exposure to Design-for-Test (DFT) concepts such as scan or ATPG
• Familiarity with EDA tools or semiconductor workflows
• Basic knowledge of test pattern formats (e.g., STIL, WGL)
• Experience working in Linux/Unix environments

Benefits:

• Practical experience with semiconductor test and conversion workflows in a production-oriented environment
• Exposure to industry-standard tools such as Velocity, VTRAN, and ATE platforms (e.g., Advantest V93000)
• Mentorship from experienced Applications and Software Engineering professionals
• Insight into AI-driven automation and modern semiconductor development practices
• Opportunity to contribute to impactful engineering solutions used by global semiconductor customers