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Summer 2026 Tech Internships by Pitt CSC & Simplify

Aggregates Summer 2026 internship postings across software engineering, data science/AI, quant, product and hardware; curated and updated daily by the Pitt Computer Science Club and Simplify. Lists 250+ active roles with categories, direct application links, and age-since-posting to help applicants find timely openings.

Introduction

Why this matters

The summer-internship market moves in days: many competitive internships open and close quickly, and opportunities in AI/ML and data science appear mixed among general software listings. This repo centralizes freshly discovered Summer 2026 roles so students can scan active openings across SWE, AI/ML, quant, product and hardware without visiting dozens of career pages.

What Sets It Apart
  • Breadth plus recency: Combines community submissions with hourly scraping from Simplify to produce a single, categorized list of 250+ active roles (SWE, Data Science/AI, Quant, Hardware, Product). So what: you get both niche AI research listings and mainstream SWE internships in one place.
  • Actionable metadata: Each entry includes a direct application link and an “age” column showing days since posted. So what: helps prioritize roles that are still freshly posted and likely accepting applications.
  • Community-driven upkeep: Maintained by Pitt CSC contributors plus Simplify’s automation. So what: community additions often surface smaller startups or off‑season roles that automated scrapers might miss.
Who It's For and Trade-offs

Great fit if you’re an undergrad/grad student actively applying to summer roles and want a fast single view of current openings across domains (especially useful for scanning AI/ML and SWE pipelines). Look elsewhere if you need deep, program-level details (salary, interview calendar, or guaranteed sponsorship status) — the repo links out to company pages but does not replace the companies’ official job postings. Also, some entries rely on third-party scrapes or community submissions, so verify details on the employer’s site before applying.

Where It Fits

This list is a practical discovery layer between single-company career pages and paid aggregator products: lower friction than manual search, and broader coverage than individual school lists, but without the filtering, tracking, or resume autofill features of dedicated platforms.

Information

  • Websitegithub.com
  • OrganizationsPitt Computer Science Club, Simplify (Simplify.jobs)
  • Published date2020/05/23

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