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What is PATHS Training program?

PATHS (Preparing Autistic Individuals for Transition to Become Quality Assurance Engineers in Semiconductor)

📋 Overview: PATHS is an 8-week hybrid training program designed to develop workforce skills in semiconductor physical assurance and advanced packaging.

💵 Incentive: Participants who complete all modules are eligible to receive up to $500.

💼Internship: Selected students will have internship opportunities with semiconductor companies with stipends of up to $10,000, fully covered by UF.

🎓 Eligibility:

  • 18 years of age or older

  • Currently enrolled in or holding an Associate's or Bachelor's degree in a STEM field

  • Ability to travel to Gainesville, FL, for a two-day orientation (all travel expenses will be fully covered)

  • U.S. citizens or permanent residents

Neurodivergent individuals are encouraged to apply

Co-designed with autistic individuals, the program empowers neurodivergent participants to build on their unique strengths and pursue careers in the rapidly growing semiconductor industry

Interesting in training?

Interesting hosting interns?

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Interested in Mentoring? Become a PATHS Mentor

  • Guide 3 mentees: 3 virtual meetings (30 min each).

  • Compensation will be provided.

  • Conference support (registration fee/travel) available.

"PATHS connected me with a mentor who helped me navigate my career goals, strengthen my resume, and build confidence for interviews. That one-on-one guidance was so invaluable ."

— PATHS Participant, 2026 Cohort

"I really enjoyed the VR experience. It allowed me to see and interact with semiconductor processes like deposition in a hands-on, visual way, it made the concepts much easier to understand."

— PATHS Participant, 2026 Cohort

What does training include?

Online lecture

ONLINE LECTURE

  • Online lectures delivered through UF Canvas, offering a flexible learning schedule.

  • Learn from nationally recognized scientists.

VR Art Exhibition

VR TRAINING

  • Remote, hands-on training with VR technology

  • All students will receive a VR headset

Nano scale lab at University of Florida

IN-PERSON TRAINING

  • 2-day, in-person training at the University of Florida’s cleanroom and SCAN Lab facilities.

Business Meeting

MENTORSHIP

  • One-on-one mentorship from industry experts at Micron, AMD, Intel, and GlobalFoundries

  • Dedicated support from CARD

Career Pathways After Training

Selected students will have the opportunity to intern with leading national semiconductor foundry and defense technology companies.

Each intern will receive up to $10,000 in stipends, along with travel support.

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Program at a Glance

8 Weeks (mid Sep - mid Nov, 2026)

Hybrid format

  • Week 1 |   In-person 2 Day workshop at the University of Florida (Sep 18th, Sep 19th)

  • Weeks 2–7 |  Online lectures with integrated VR training and one-on-one industry mentorship via Zoom.

  • Week 8 |  Synchronous online employment bootcamp, hosted by industry experts and staff from the Center for Autism and Related Disabilities at the University of Florida.

  • 18 years of age or older

  • Interest in semiconductor fabrication

  • Associate’s or Bachelor’s degree in a relevant STEM field (e.g., Electrical Engineering, Chemical Engineering, Materials Science, Computer Science)

  • Ability to travel to Gainesville, FL, for a two-day orientation (all travel expenses will be fully covered)

  • U.S. citizens or permanent residents (green card holders)

2026-2027 Timeline

Note: This is a tentative timeline and may be subject to change depending on circumstances.

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Register as a Student Participant
Interested in joining the PATHS program to earn a certificate and explore future internship opportunities?

Register as an Employer

Interested in hosting PATHS participants? All internship costs will be fully covered by the University of Florida.

Interested in Mentoring? Become a PATHS Mentor

  • Guide 3 mentees: 3 virtual meetings (30 min each).

  • Compensation will be provided.

  • Conference support (registration fee/travel) available.

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This project is supported by the National Science Foundation under Award No. 2346819. Any opinions, findings, and conclusions or recommendations expressed in this website are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

© University of Florida

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