AI Infra & Automation Intern — Semiconductors

Advantest

San Jose (CA)

On-site

USD 28,000 - 41,000

Part time

6 days ago
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Job summary

Advantest America Inc. is seeking an AI Infrastructure Applications Engineer Intern in San Jose, CA to learn and support Velocity EDA-to-ATE software workflows.

You will connect Velocity outputs with engineering tools and workflows, gaining hands-on experience across the semiconductor lifecycle from design to production. You will work with experienced engineers and internal teams to deploy automation methodologies, enhance AI-driven processes, and accelerate time-to-market for advanced

Qualifications

  • Pursuing a bachelor’s or master’s degree in electrical engineering, computer engineering, or computer science.
  • Foundational understanding of digital design or semiconductor fundamentals.
  • Experience 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.

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 diagnostics and log parsing.
  • Documentation of workflows, findings, and best practices to support knowledge sharing.
  • Engage in team discussions and contribute to technical problem-solving activities.

Skills

Python
Java
C++
AI/ML in engineering workflows
Problem solving
Communication skills
Automation

Education

Bachelor's or Master's in Electrical Engineering / Computer Engineering / Computer Science

Tools

Velocity
VTRAN
Advantest V93000

Job description

Advantest America Inc. is seeking an AI Infrastructure Applications Engineer Intern in San Jose, CA to learn and support Velocity EDA-to-ATE software workflows.

You will connect Velocity outputs with engineering tools and workflows, gaining hands-on experience across the semiconductor lifecycle from design to production. You will work with experienced engineers and internal teams to deploy automation methodologies, enhance AI-driven processes, and accelerate time-to-market for advanced

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