AI Infrastructure Applications Engineer Intern

Advantest; San Jose (CA); On-site; USD 28,000 - 41,000; Part time

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

AI Infrastructure Applications Engineer Intern

#9101

San Jose, California, United States

About Advantest

Advantest America Inc. is part of Advantest Corporation, the world's largest provider of automated test equipment (ATE) for the semiconductor industry. The company designs and manufactures cutting‑edge testing solutions that help semiconductor manufacturers ensure the quality and performance of their products. Advantest is known for innovation, reliability, and a strong commitment to supporting its customers and employees.

Our Purpose & Values:

Mission: Improve lives through advanced technologies and customer‑focused innovation.

Vision: Be the most trusted and valued test solution provider in the semiconductor value chain.

Core Values:

I- Innovation is our Lifeblood

N- Number One is Our Aspiration

T- Trust is our Foundation

E- Empowerment is Our Motivation

G- Global is our Reach

R- Respect is our Heart

I - Inclusion and Diversity is Our Commitment

T- Teamwork is our Approach

Y- Yes is Our Attitude

Why Join Us

At Advantest, innovation starts with people. We're looking for curious, capable, and collaborative individuals ready to shape the future of semiconductor technology. You'll join a global team where your ideas are valued, your growth is supported, and your work makes a real impact.

We foster an integrity‑centered culture, where honesty, inclusion, and respect are the foundation of everything we do.

Job Description

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

Requirements

Minimum Qualifications

• Currently pursuing a bachelor’s or master’s degree in electrical engineering , c omputer e ngineering, c omputer s cience, 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

Preferred Qualifications

• 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

- § 60-300.5(a)(2)(3)(4) Equal opportunity clause. Details the job posting requirements.

- § 60-300.5(a)(6) Equal opportunity clause. All employment openings includes all positions except executive and senior management, those positions that will be filled from within the contractor's organization, and positions lasting three days or less. This term includes full‑time employment, temporary employment of more than three days' duration, and part‑time employment.

CCPA Notice for California Residents:

Notice for California Residents: We collect personal information (PI) from you in connection with your application for employment with Advantest America, Inc., including some or all of the following categories of PI: identifiers and personal records (e.g., name, phone number, email address, employment history); commercial information (e.g., if we reimburse you for travel or other expenses during the application process); sensory information (e.g., recorded virtual interviews); professional or employment information (e.g., information provided in your resume and application, such as employment history); non‑public education records (e.g., educational institution transcripts and records); and inferences drawn from the above categories of PI. We collect your PI for our purposes, including performing operations related to your potential employment. To view the Advantest Privacy Policy, visit https://www.advantest.com/privacy-policy.html. For additional details or if you have questions, contact us at [e-mail].

EEO Statement

Advantest is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Advantest to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

The Advantest Way - Diversity, Equity, Inclusion and Belonging

At Advantest, diversity, equity and inclusion are at the core of who we are. We are continuing to build a culture where everyone feels a sense of belonging through our DE&I programs & initiatives. We strive to have a diverse, equitable and inclusive workplace to enable us to attract and retain candidates that feel a sense of purpose and empowerment. Our commitment to DE&I is unwavering and we are steadfast in our mission to continuously foster an environment of respect, trust and transparency. We value diversity and inclusion and believe employees of all backgrounds contribute to our ongoing success. At Advantest, we celebrate and support the needs of our employees regardless of race, color, ethnicity, national origin, religion, age, disability, gender (including gender expression and gender identity), sex and sexual orientation. DE&I at Advantest is more than words to us, they are the Advantest Way.

This Company is an Equal Opportunity Employer, and does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, or on any other basis prohibited by law. Information on race, gender and national origin will only be used for statistical and record keeping purposes, and will not be used in making any employment decisions. All information provided will be kept separate from your expression of interest. Providing this information is strictly voluntary, and you will not be subjected to any adverse action or treatment if you choose not to provide this information. If you do not choose to answer these questions, we ask that you select "Decline to Identify" for each question. Thank you for your voluntary cooperation.

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