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Steel

Software Engineer Intern (Summer 2027)

  • Seen live on Steel's site yesterday
  • Intern / co-op
  • Summer 2027
Pay
Not stated
Location
Toronto
Open for
14+ days
First seen
Oct 21, 2026
Apply on Steel's site (opens in a new tab)

Posting record

No flags

Open 14+ days

The posting's record, oldest first
  1. Steel's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Steel, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What it asks of you

Must be a current student
“Currently pursuing a degree in Computer Science, Software Engineering, or a related field, or have equivalent hands-on experience” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

About Steel

Steel is building open-source browser infrastructure for AI agents and apps . We make it easy for developers to ship AI products that interact with the web using our Sessions API .

With over 7,000 GitHub stars, dozens of paying customers, and millions of sessions served monthly, we grew our platform 50x in 2025 purely through word-of-mouth and our open-source community. Backed by world-class investors, we're building a small, highly motivated, and talent-dense team that's shaping the future of how humans interact with the internet.

More on the problems we're solving: https://docs.steel.dev/overview/intro-to-steel

The Role

We're looking for exceptional software engineering interns to help build the infrastructure and developer tools powering the next generation of AI agents.

You'll work alongside our engineering team on real technical challenges, from scaling browser infrastructure to building developer tools and experimenting with AI agents. We're a small team that moves fast, and you'll have the opportunity to take ownership, ship production code, and see your work used by developers building some of the most exciting applications in AI.

Sample projects include...

  • Building and shipping features across Steel's APIs, SDKs, and developer tools
  • Improving the performance and reliability of our browser infrastructure
  • Building open-source demos that showcase what's possible with AI agents and browsers
  • Experimenting with AI models, prompts, and agent frameworks to improve browser automation
  • Working with containers, VMs, proxies, and distributed systems to scale browser sessions
  • Debugging tricky engineering problems and shipping fixes that make Steel faster and more reliable

Requirements

  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field, or have equivalent hands-on experience
  • Strong programming fundamentals and experience building software projects
  • Comfortable writing code and learning new languages, frameworks, and tools
  • AI-native: actively use AI coding tools and agents in your development workflow
  • Curious about how systems work and excited to solve challenging technical problems
  • Able to take ownership, move quickly, and learn independently
  • Able to work in person from our Toronto office

Nice-to-haves

  • Previous software engineering internship experience
  • Experience building full-stack applications, developer tools, or infrastructure projects
  • Contributions to open-source projects or interesting personal projects
  • Experience with cloud infrastructure, Linux, containers, or distributed systems
  • Experience building with LLMs or AI agents

Applying

If there appears to be a fit, we'll reach out to schedule 2 short technical interviews. After, we'll schedule an onsite at our Toronto office, where you'll work on a small project, discuss ideas, and meet the team.

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