Your guide to the early career journey — new issues every [other] Wednesday [for the summer].

Today’s Newsletter Summary:

Read on for some of the most recent software engineer intern roles for this upcoming Summer of 2026 as well as some Winter 2026/Fall 2025 internships sprinkled in the list.

Today’s newsletter features an event spotlight from Brex - Agent Jam (a hackathon that you should sign up for!!) as well as an intern spotlight who’s also a Kleiner Perkins Fellow! Alongside are some of the most recent industry news with AI and crypto.

  • 💼 List of Summer SWE 2026 Internships from F500 companies and more

  • 📎 Intern Spotlight: Anish Karthik, Kleiner Perkins Fellow + ML intern @ Cherry

  • 📱 Recent news for the world/tech industry

  • 🌐 Resource of the day Atlassian Early Career Guide

Arlina Yang, Founder

P.S. CareerNow has a LinkedIn page, go follow the account here! We’ve hit 2k followers on the page!!

If you didn’t find the Notion page of all the early career programs at the bottom of the first welcome gmail - here it is! And for GRADUATES - HERE is a Notion page of programs too.

Summer 2026 SWE internships with F500, Mid Sized Companies, etc

Bonus tip when applying to these roles:

Here are 44 'productive' things to do for this summer if you don’t have an internship:

31. Start a podcast or interview series
32. Help a local small business with social media
33. Launch a digital product
34. Learn a new tool (Figma, Tableau, Canva, Python, etc.)
35. Reach out to professors for research opportunities
36. Build a passion project (career site, zine, design challenge)
37. Rebrand yourself (new headshots, graphics, bio updates)
38. Read career or industry-related books
39. Build a weekly productivity system (Notion, Google Calendar, etc.)
40. Apply to fellowships, grants, or scholarships

Read the remaining 34 productive summer things to do HERE!

🔔 Reminder to connect with me here on LinkedIn!

Event Spotlight: Brex Hackathon - Agent Jam

Shhh.. did you hear about the secret hackathon hosted by Brex with top Y Combinator startups in SF?

Join Brex for their one-day builder sprint Agent Jam where students and new grads craft autonomous agents that plug straight into real startup workflows using APIs and datasets from Lovable, Pylon, Layerup, Mintlify, Nooks, Momentic, and more.

Think of it like this:
→ You build an autonomous agent.
→ You demo it that night.
→ If it’s good? A real startup might actually pilot it post-event.

You’ll have the opportunity to build an incredible project, meet likeminded peers, win some awards, and build a network of some of the biggest startups in SF.

📅 Date: August 23, 2025
Time: 8am-10pm

📍Register for Agent Jam HERE: https://lu.ma/agentjam

Intern Spotlight: Anish Karthik

Can you give us an introduction of yourself and a look into your role at Cherry as a machine learning intern?

Yo! I’m Anish Karthik, a recent grad from Texas A&M! I did a triple major in Computer Science, Applied Mathematics, and Statistics, and was fortunate enough to intern at Google, MIT Lincoln Labs, and H-E-B. I got my last internship at Cherry through being a Kleiner Perkins Fellow!

I think machine learning is super cool, and in particular, reinforcement learning is really interesting. I also really love hackathons and went to more than 30 while in school. Through building stuff like an AI Vtuber that plays Dark Souls and streams on Twitch, to a sign language fruit ninja game, to a pretty useless but cool ASCII art compression algorithm, I try to experiment with whatever interests me!

This summer, I worked on creating an end-to-end pipeline for processing and parsing information from images. Basically, I saved my manager a ton of time using OCR to check if users submitted valid screenshots of different webpages and not just selfies or blank pages!

You’ve worked at big tech companies like Google and now a mid-sized fintech company like Cherry, what would you say is the biggest difference between your experiences?

I think the freedom granted to do work had to be the biggest difference. While at an extremely large company, you’re only allowed to mess with a small portion of the code base, and your projects can be really specific. At Cherry, which was more midsize, I had relatively much more freedom and was able to come up with and implement a tech stack that was entirely of my own design. My scope at Google was smaller.

Also, there are more tape and regulations that scale exponentially down the smaller the company. At Google, there were many, many, permissions, access issues, requests, reviews, and other such processes that I needed to go through. At Cherry, it was significantly less.

What is one advice you’d give to ML / CS students looking to gain experience in this job market?

Build fun stuff! Go to hackathons! And post about it!

When I first thought about trying to get into internships for cool companies, I got overwhelmed with the need to display technical competence and couldn’t stop thinking about the fact that I needed to build specific projects. That idea developed into dread and made me super unmotivated. But when I was working on some random idea like my AI Vtuber, it was just fun, and I ended up learning way more than anything in my classes or through interview prep.

Moreover, I’m a firm believer that hackathons are the best way to not only crank out projects but also learn as efficiently as possible. Blocking out a weekend to make a project made it way easier for me to focus without worrying too much about hanging out with friends and studying for exams.

Lastly, you should show off your work! Whether it be on LinkedIn, Reddit, X, or to your friends, you should show off your work. You’ll get to meet really interesting people and probably find a group of like-minded individuals who’ll push you to build even cooler things!

📍Connect with Anish Karthik here on LinkedIn to follow along his career journey

Recent Industry News:

David Paul Morris/Bloomberg

Perplexity Makes $34.5B Bid for Google’s Chrome Amid Antitrust Pressure

Perplexity, a small A.I. startup valued at $18 billion, has made an unsolicited $34.5 billion bid to buy Google’s Chrome browser, anticipating an imminent U.S. antitrust ruling that could force Google to sell it. The Justice Department argues Chrome’s sale is essential to break Google’s search monopoly, which controls 90% of the market, and prevent its dominance in A.I.

Perplexity’s CEO, Aravind Srinivas, framed the offer as serving public interest. Backed by outside investors, the deal aims to give the browser an independent operator. However, the acquisition remains a long shot given Perplexity’s size and Google’s resistance to divestment. Read more HERE from NYT.

Wall Street Banks Embrace Stablecoins, Sparking Profit Hopes and Consumer Protection Fears

Once staunch critics of cryptocurrency, major banks like JPMorgan, Bank of America, and Citi are now racing to develop stablecoins, spurred by political backing, profit potential, and competition from tech giants.

Stablecoins, pegged to the U.S. dollar, could upend traditional banking by bypassing federal deposit insurance and limiting funds available for loans, raising consumer protection concerns. The recently passed GENUIS act legalized bank-issued stablecoins, enabling them to invest reserves in government bonds. Banks see both opportunity and risk as they prepare for rapid adoption. Read more HERE from NYT.

Resource of the Day: Atlassian Early Career Interview Guide

Should I make a resource combining all the interview guides I can find from different companies?

Login or Subscribe to participate

The Atlassian Early Careers Interview Guide outlines the hiring process, from application to interviews, and offers tips for success. Candidates apply for roles aligned with their skills, then complete role-specific assessments like coding tests or case studies.

The interview stage typically includes 3–4 virtual sessions covering technical skills, leadership, and values.

The guide emphasizes tailoring resumes, researching Atlassian, and preparing examples for both behavioral and technical questions. It highlights crafting a clear elevator pitch, applying the STAR method for structured responses, and showing authenticity. Do’s include preparation, engagement, and thoughtful questions; don’ts include lateness, distractions, and lack of research.

“Go as far as you can see; when you get there, you’ll be able to see further.“ -- Thomas Carlyle

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