AI Infrastructure Applications Engineer Intern

About the Role

We are seeking a highly motivated engineer to learn and support our Velocity EDA-to-ATE software platform and leverage AI-based tools to connect Velocity outputs with a variety of engineering tools and workflows.

This is a unique opportunity to gain hands-on experience across the semiconductor lifecycle, including design, validation, and test, while working with advanced automation technologies used in modern chip development.

As part of the role, you will be exposed to automated test conversion flows spanning design, DFT, simulation, and production ATE environments. You will collaborate closely with experienced Applications Engineers and internal development teams to support the deployment and enhancement of automation methodologies that improve efficiency and accelerate time-to-market.

Key Responsibilities

• 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
• Engage in team discussions and contribute to technical problem-solving activities

What You'll Gain

• 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