AI MANUFACTURING AT UTEP

Use AI.
Make better
chips.

The chips in your phone, car and AI tools start with engineering. Discover where your interests fit—and how to start at UTEP.

New to this? Start with curiosity. See your UTEP starting point →

Illustrative silicon wafer inside a semiconductor cleanroom
YOUR IDEAS. REAL-WORLD QUESTIONS.

Can you spot a defect?
Predict a problem?
Make a factory work better?

↗

01 / WHAT’S IN YOUR FUTURE?

Join us.
See where it takes you.

A career at a leading manufacturer. Skills for a changing industry. The chance to learn across borders. Start building toward a future that excites you.

Illustrative close-up of a wafer and semiconductor inspection equipment

01 / YOUR CAREER

Become an AI
manufacturing engineer.

Build skills for careers at Intel, Texas Instruments, Lam Research, TSMC, Samsung, Infineon and other leading manufacturers.

Explore employers
Official TSMC Arizona video preview showing its semiconductor facility

02 / YOUR TIMING

Build for America’s
next decade.

Get ready for the next generation of U.S. manufacturing with skills in AI, automation and production data.

See AI in the fab
Illustrative student analyzing wafer inspection data

03 / YOUR POTENTIAL

Turn skills into
earning power.

Develop expertise for engineering careers with strong earning potential. Explore published salaries and what shapes an offer.

Explore careers & pay
Illustrative research campus with a study desk, travel bag and green hills beyond the windows

04 / YOUR WORLD

Learn beyond
borders.

Explore opportunities to learn from semiconductor researchers and industry experts in Taiwan and Japan—and see engineering from a new perspective.

Explore international learning

12% projected growthU.S. Industrial Engineers · 2025–2035 · A related career benchmark

Explore the BLS outlook ↗

Career paths and international opportunities depend on preparation, openings and project availability. Learning scenes are AI-generated illustrations; the Arizona image is from TSMC’s video.

START WITH CURIOSITY

What do you need
to get started?

You do not need to arrive as an expert. If any of these sound like you, there is a place to begin.

A laptop and notebook on an inviting desk, ready for a first coding project

Curious about
coding?

An interest in solving problems is enough to begin. Learn the tools as you go.

An iridescent silicon wafer showing the technology inside everyday devices

Excited by
high technology?

Explore the chips, machines and AI behind the devices you use every day.

A small robot arm, electronic components and tools on a laboratory workbench

Like working
with your hands?

Build, measure and test. Discover what happens when you change something.

A notebook, pencil and simple learning materials for building confidence step by step

Start without
advanced math.

No advanced math is needed to explore these activities. Build confidence step by step.

Engineering degrees include mathematics and statistics. You will build that foundation through coursework. Images are AI-generated illustrations.

Find your UTEP starting point

Where could these skills take you?

Explore employers

Explore industry employers and emerging projects · TERAFAB is a planned fab. Logos do not imply UTEP hiring partnerships.

TRY IT / 30-SECOND CHALLENGE

You already have
an engineer’s eye.

Which area needs a closer look?

A wafer holds many tiny chips. Look for the unusual dark patch, then select area A, B or C.

Simplified wafer inspection exercise

Start with what you notice.Compare the chip patterns in the three marked areas.

Illustrative silicon wafer with three inspection areasA circular wafer has an orderly grid of chips. Area B contains an unusual cluster of dark chips; A and C have consistent patterns.

Select a marked area to inspect it.

02 / SEE THE WORK

AI inside
the fab.

A fab is a factory that makes chips. These are four problems you could help solve.

AI-generated illustrations · Select a scene to ask about a related interest.

03 / YOUR CAREER OUTLOOK

What could
your future pay?

Explore the earning potential—and see which numbers describe experienced careers or a specific job opening.

AI Manufacturing Engineer

Related benchmark: Industrial Engineers

$102,440/ year

All experience levels · U.S. median

Connect factory data, automation and scheduling to improve production.

BLS occupation profile

Data Scientists

BLS occupational benchmark

$120,230/ year

All experience levels · U.S. median

A benchmark for careers that turn complex data into insights.

BLS occupation profile

Software Developers

BLS occupational benchmark

$135,980/ year

All experience levels · U.S. median

A benchmark for careers that build software and automation tools.

BLS occupation profile

U.S. annual median wages · May 2025. BLS figures cover all industries and experience levels. The AI Manufacturing Engineer figure uses the related Industrial Engineers occupation; it is not a title-specific salary. These are not semiconductor-specific salaries or starting offers. A median means half of workers earn more and half earn less.

04 / WHERE YOU COULD WORK

Your future has
a place on the map.

Start in El Paso. Explore U.S. manufacturing hubs and semiconductor assembly-and-test sites across the border in northern Mexico.

United States and Mexico map showing UTEP in El Paso; Lam Research, TSMC, Intel, Texas Instruments and Samsung in the U.S.; Infineon in Tijuana and Skyworks in Mexicali, Mexico. Infineon has announced a production transition.
United States + northern Mexico · UTEP is marked in orange.Open full-size map

Selected examples, not a complete industry map. The Mexican sites shown focus on semiconductor assembly and testing. Infineon announced a gradual transfer of Tijuana production in June 2026 ↗. Check current company information and openings.

05 / YOUR FACULTY

Meet the people
behind the possibilities.

Start with a question that interests you. Meet six faculty members whose expertise can help you explore it.

Tzu-Liang (Bill) Tseng

Manufacturing systems

Tzu-Liang (Bill) Tseng

Chair & Professor, IMSEDirector, RIMES

EXPLORE A QUESTIONHow can data help a factory make better decisions?

UTEP profile
Amit J. Lopes

Advanced manufacturing

Amit J. Lopes

Associate ProfessorManufacturing Graduate Program Director

EXPLORE A QUESTIONHow can we make and test a better product?

UTEP profile
Chin-Yih Lin

Semiconductor AI

Chin-Yih Lin

Associate Professor of ResearchIMSE

EXPLORE A QUESTIONCan factory data reveal when chip quality will change?

Personal website
Honglun Xu

Data & reliability

Honglun Xu

Assistant Professor of ResearchIMSE / RIMES

EXPLORE A QUESTIONCan we spot warning signs before equipment fails?

UTEP profile
Amanda de Oliveira Barros

Robotics & automation

Amanda de Oliveira Barros

Assistant ProfessorIMSE

EXPLORE A QUESTIONHow can a robot learn to handle different objects?

UTEP profile
Md Fashiar Rahman

AI & quality

Md Fashiar Rahman

Assistant ProfessorAssociate Director, RIMES

EXPLORE A QUESTIONCan an image help us find a quality problem?

UTEP profile

Selected faculty with relevant expertise. View the full IMSE faculty directory ↗ · Titles and research areas follow official UTEP pages, checked October 21, 2026.

06 / TAIWAN COLLABORATIONS

From El Paso
to Taiwan.

Your research could reach across the Pacific. Through faculty collaborations with NYCU and NCKU, explore opportunities for joint guidance and research experiences in Taiwan.

NYCU — National Yang Ming Chiao Tung University

National Yang Ming
Chiao Tung University

151–200Worldwide · QS 2026Electrical & Electronic Engineering

Semiconductor technology, manufacturing processes and advanced packaging.

Semiconductor research at NYCU
NCKU — National Cheng Kung University

National Cheng
Kung University

#137Worldwide · QS 2026Electrical & Electronic Engineering

Intelligent manufacturing, virtual metrology, predictive maintenance and yield improvement.

Smart manufacturing research at NCKU

Rankings: QS World University Rankings by Subject 2026, Electrical & Electronic Engineering. This is a related subject ranking, not a ranking of semiconductor manufacturing programs.

01 / LEARN TOGETHER

Two perspectives.
One research journey.

You may have the opportunity to be co-advised by UTEP faculty and professors in Taiwan, bringing complementary expertise to your research.

02 / GO FURTHER

Your next lab
could be in Taiwan.

Depending on the project, you may be able to visit Taiwan for research, learn alongside local teams and experience a different engineering culture.

Curious where a collaboration could take you?

Ask about Taiwan opportunities

Interested in learning from industry experts in Taiwan or Japan? Ask about current international learning opportunities ↗

Opportunities depend on project fit, faculty availability, funding and institutional requirements. Co-advising and travel are not guaranteed; ask about current options.

07 / YOUR UTEP STARTING POINT

You bring the curiosity.
Let’s find your next step.

AI manufacturing is a field to explore through engineering coursework and research. Choose the starting point that fits you.

JOIN THE DEPARTMENT OFIndustrial, Manufacturing and Systems Engineering

Curious? Let’s talk about your future.

Still in high school? Already in college? Explore AI manufacturing with UTEP’s Department of Industrial, Manufacturing and Systems Engineering (IMSE). Tell us what interests you.

01

Choose your current school and student status.

02

Share your name, email and interests.

03

Hear about courses, research and opportunities.

Phone and mailing address are optional. This is an interest form, not an application for admission.

Questions? Contact Chin-Yih LinAssociate Professor of Research · UTEP IMSEclin@utep.edu
Let’s get to know you.A few details can start a conversation. Fields marked * are required.

El Paso area schools, UTEP and EPCC. Choose “Other school” if yours is not listed.

What would you like to explore? Optional

Your information will be used to follow up on your interests. Please share only your own contact details.

Prefer Google Forms? Open the alternative form ↗