Minnesota Semiconductor AI Hub: Manufacturing AI Intern at University of St Thomas
St. Paul, MN
$25/hrfrom the description
Jul 5, 2026
St. Paul, MN
Jul 21, 2026
What this job asks for AI summary
A year-long part-time internship embedded within a university-industry semiconductor AI initiative, focused on building and deploying machine learning models to improve fab-level manufacturing efficiency — covering predictive maintenance, wafer scheduling, and downtime reduction. The role also involves evaluating generative AI retrieval strategies for engineering knowledge systems and supporting data pipeline development. It suits a rising or recent graduate in a relevant engineering or data science field with hands-on ML experience.
Junior level · Minneapolis-St. Paul-Bloomington, MN-WI · Internship
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 25 people in the Minneapolis-St. Paul-Bloomington, MN-WI area plausibly meet what this posting asks for (data scientists). range 15–40
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $132,634 (middle half $96,834–$166,533). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
This is a part-time (up to 20 hrs/week), year-long internship targeting rising or recent MS graduates — not a full-time hire.
ITAR compliance is a hard gate: applicants must be U.S. Persons (citizens, permanent residents, political asylees, or refugees).
The JD lists 'Understanding of semiconductor processing, fab operations, equipment' and 'Experience in data engineering' as preferred despite appearing in the same qualifications block — the posting explicitly labels them 'preferred', so they are treated as optional. They name no specific tool and were omitted from the skills list per schema rules.
Python is listed alongside Java and C++ as acceptable alternatives; Python is named first and is the most relevant to the ML/AI work described.
'Cloud-based tools' is the JD's phrasing with no specific platform named; common substitutes (AWS, Azure, GCP) are listed as alternatives.
NVIDIA Omniverse and quantum programming are explicitly flagged 'a plus' in the posting.
The role blends ML/data science work (model building, generative AI, pipelines) with software engineering; 15-2051 Data Scientists is the primary classification given the ML modeling and AI evaluation focus, with 15-1252 Software Developers as a close runner-up.
Posting is for a internship engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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