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Realm

Software Engineer - Intern

Posted 2 months ago
0-2 years experience
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AI Summary

You will work alongside full-time engineers to build and ship features end-to-end for active mine sites. This includes contributing to backend operations, developing applied AI features, and deploying code to production using Kubernetes.

Company Overview

Realm builds AI for the mining industry. We integrate with existing mine infrastructure — cameras, SCADA systems, drones, and data repositories — to predict equipment failures, detect unsafe behaviors, and optimize operations. Our platform deploys intelligence in various ways to improve productivity and safety — monitoring PPE compliance via computer vision, optimizing froth flotation processes, analyzing longwall shearer performance, tracking MSHA citation patterns, and more.

Our founders started their careers at Palantir before going on to build Blend Labs (publicly traded fintech, founded as CTO) and Even (acquired by Walmart). Our leadership team brings experience from Uber, Metropolis, and other high-bar organizations. We're a small, senior team that ships daily to production mines.

AI isn't just our product — it's how we build. We're an AI-first engineering team that uses the latest models and tooling throughout our development process, moving faster and at higher quality than traditional teams our size.

Our culture values high agency, deep ownership, collaboration, and autonomy across a fully remote workforce. Teams here move quickly and make meaningful contributions to a product that shapes global industrial outcomes.

What You'll Do

As an intern at Realm, you'll work alongside full-time engineers on real features that run at active mine sites - not toy projects or internal tooling.

  • Contribute to our TypeScript backend serving real-time mining operations data

  • Build and ship features end-to-end

  • Work on applied AI features using LLMs (Claude, GPT, Gemini) for intelligent analysis and automation

  • Contribute to computer vision pipelines leveraging LLMs and services like AWS Rekognition and TensorFlow

  • Deploy code to production via Kubernetes with CI/CD

  • Interact directly with users and translate real-world operational challenges into features

  • Work closely with our CEO -- former CTO and Cofounder of Blend Labs -- and a senior engineering team invested in your growth

Tech Stack

  • Backend: TypeScript, Node.js, Prisma, PostgreSQL

  • Frontend: TypeScript, React

  • AI/ML: LLMs, AWS Rekognition, TensorFlow, OpenCV

What We're Looking For

Must-Have Qualifications

  • Currently a Junior or Senior pursuing a BS in Computer Science or a related field

  • Strong CS fundamentals - data structures, algorithms, and system design

  • Proficiency with agentic coding tools (Claude Code, Codex, or Cursor)

  • Comfort working across the stack -- you don't need to be an expert in everything, but you're willing to figure things out

  • Ability to work independently and come up to speed without heavy hand-holding

  • US citizen or permanent resident, based in the US

Nice-to-Have Qualifications

  • Prior internship or project experience in a production codebase

  • TypeScript experience

  • AI or computer vision experience

What You'll Get

  • Competitive paid internship compensation

  • Real ownership: your code ships to production mines

  • Direct mentorship from a senior engineering team with deep startup and industry experience

  • A front-row seat to building AI infrastructure for a critical global industry

Interview Process

  1. Engineering quiz (async, ~60 min) — A 10-question code reading and analysis assessment. You pick your language (TypeScript, Python, Go, or C++) and answer questions covering code comprehension, bug detection, performance analysis, and system design. No trick questions — we're testing how you think about real code.

  2. Live coding interview (2 x 1-hour sessions) — Algorithmic problem solving and a simulated development task.

  3. Behavioral interview with senior leadership — Culture fit, working style, and past experience.

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