2027 SWE College Jobs: A Daily-Updated GitHub List of Software Engineering Internships and New Grad Roles

What This Repository Is and Who It Serves

The 2027-SWE-College-Jobs repository is a curated, daily-refreshed list of software engineering job postings for college students. The README describes it as covering both internships and new graduate positions, updated every day, with a focus on jobs posted within the last 120 days.

The audience is a computer science undergraduate or recent graduate searching for their first full-time role or a summer internship for 2027. The repository saves the work of monitoring individual company career pages. Instead of visiting twenty different hiring portals, a student can check the repository daily and find new postings added automatically.

The repository covers four categories of listings: USA internships, USA new graduate positions, international internships, and international new graduate positions. According to the README, as of the most recent update there are 838 USA internships available, 915 USA new grad positions, 633 international internships, and 875 international new grad roles.

Repository Structure: FAANG+, Quant, and Other

The root of the repository contains four files: the main README.md for USA internships, NEW_GRAD_USA.md for USA new graduate positions, INTERN_INTL.md for international internships, and NEW_GRAD_INTL.md for international new graduate positions. Each file follows the same organization.

Within each file, postings are divided into three sections: FAANG+ for well-known major technology companies such as Amazon, Google, Microsoft, Meta, and companies like Ramp, Stripe, DoorDash, Figma, and Rivian; Quant for quantitative finance firms; and Other for the remaining companies.

Each table entry shows the company name with a link to its website, the position title, location, hourly salary where listed, a link to the application, and the age of the posting in days. The salary data in the README examples shows ranges such as $53/hr for Amazon, $60/hr for Ramp and Stripe, and $63/hr for Google. These figures come directly from the company postings captured at the time of listing.

The .github/ directory contains the automation that updates the tables daily. The README states that positions are prioritized by recency, with jobs posted within the last 120 days included.

Using the Repository in a Job Search

The repository is a reference list. Every application link in the tables points to the company's own hiring platform, such as Greenhouse, Ashby, Workday, or the company's custom careers page. There is no application to fill out within GitHub.

The practical workflow is: star or watch the repository to receive notifications when new commits update the tables, check the FAANG+ section regularly for high-profile postings that fill quickly, use the Quant section specifically if targeting finance-adjacent engineering roles, and follow application links directly to the company's system.

The age column in the tables indicates how old each posting is in days. The README states that jobs posted within the last 120 days are prioritized, which means the tables are cleaned up over time rather than accumulating stale listings indefinitely. A posting with age 2 days is still likely accepting applications; one marked 100 days may have closed.

The companion repository 2027-AI-College-Jobs at github.com/speedyapply/2027-AI-College-Jobs covers AI and machine learning focused positions separately. The README links to it directly for students targeting roles with an AI or ML focus rather than general software engineering.

International Coverage: 633 Internships and 875 New Grad Roles

The international sections in INTERN_INTL.md and NEW_GRAD_INTL.md follow the same format as the USA sections: FAANG+, Quant, and Other, with company links, position titles, locations, salaries where shown, application links, and posting ages.

The README reports 633 international internships and 875 international new graduate positions available. International postings tend to include European, Asian, and other non-North American locations. For a student studying outside the United States or willing to relocate internationally, these sections provide listings that USA-focused aggregators often miss.

The international sections are maintained through the same daily automation as the USA sections. Posting currency and accuracy are subject to the same 120-day prioritization window.

Limitations: Link Rot, Scope, and No Application Tracking

The core limitation of any job list repository is link rot. Company hiring platforms close and archive individual postings when they stop accepting applications. A link in the table may lead to a closed or removed posting even if the table entry has not yet been removed. The age column provides a rough proxy for whether an application is still open, but it is not a substitute for checking the linked application page directly.

The repository covers software engineering positions only. Product management, data science, design, and other adjacent roles are not included. For those roles, other repositories or dedicated job boards are needed.

The repository has no application tracking feature. There is no way to mark which roles you have applied to, track interview stages, or set reminders. For application tracking, external tools or a personal spreadsheet are needed alongside the repository.

The repository has no license file listed in the repository entries, which means the default copyright applies. The data in the tables is aggregated from public job postings, but the curation, automation, and organization are the work of the repository maintainers.

The speedyapply Ecosystem: Chrome Extension and Discord

The README links to two companion resources from the speedyapply project. A Chrome extension is available at the Chrome Web Store for streamlining the application process on company hiring pages. The extension ID is mbgjopdedgonlbpikjfibkccpmhjbnag and the README links directly to it. The README does not describe what the extension does beyond calling it a job application tool.

A Discord server is available at discord.gg/gaJnCmTHuN. The README link for the homepage URL for the repository is the Discord invite, suggesting that community discussion and support happen there rather than in GitHub issues.

The speedyapply.com website is the project's main web presence. The README links to it in the logo section. The website and the GitHub repository are maintained by the same team.

How This Repository Compares to Simplify

The related searches for this repository include comparisons with Simplify, which is an autofill tool and job board aggregator for internship and new graduate applications. Simplify focuses on reducing the time to fill out individual application forms using stored profile data and provides its own curated list of positions.

The 2027-SWE-College-Jobs repository is simpler in scope: it is a list of links to company career pages, organized by category, updated daily. It does not autofill applications or store user profiles. The two tools serve different parts of the job search workflow: this repository helps with discovery (finding which companies are hiring), while Simplify focuses on the application submission step.

Using both together is a common approach described in the related search patterns: find open positions from the GitHub list, then use Simplify to apply more quickly on each company's page.

Editorial conclusion

2027-SWE-College-Jobs is useful to any computer science student or recent graduate job-hunting for 2027 software engineering roles who wants a single, daily-updated list rather than monitoring dozens of company career pages individually. It is not a job application platform: every link leads to the company's own application system. The most productive approach is to clone or watch the repository to receive update notifications, check the FAANG+ section early in the cycle when well-known companies post first, and use the Quant section specifically if you are targeting quantitative finance roles. The companion 2027-AI-College-Jobs repository covers AI and machine learning focused positions separately.

Frequently asked questions

Official sources

1. Issues
2. Project website
3. README
4. speedyapply/2027-SWE-College-Jobs on GitHub