The job, in the employer's words
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
Build and extend our TypeScript backend serving real-time mining operations data across web and mobile clients
Work across the stack: backend services (50%), applied AI/ML (25%), React frontend (15%), and infrastructure (10%)
Build computer vision pipelines — integrating services like AWS Rekognition, TensorFlow, and SAM3 for PPE detection, person recognition, and safety monitoring
Integrate with industrial systems (SCADA/OPC-UA) to monitor and optimize mine equipment in real time
Ship features end-to-end
Deploy to production multiple times per day with CI/CD
Work with LLMs for intelligent analysis and automation features
Own features in a small team where your code runs at active mines
Interact directly with users to deeply understand customer needs. Translate real-world operational challenges into intuitive, high-impact features
Work closely with our CEO — former CTO and cofounder of Blend Labs — to build a world-class engineering organization from the ground up.
What We’re Looking For
Must-Have Qualifications
Experience & Skills
2+ years of professional software engineering experience (high-quality internships included)
Strong coding skills, problem-solving ability, and CS fundamentals (data structures, algorithms, system design)
Proficiency with agentic coding tools (Claude Code, Codex, Cursor) and AI-first development style
Comfort working across the stack — you don't need to be an expert in everything, but you're willing to write a React component, debug a Kubernetes pod, or tune a database query as needed
Engineering Judgment & Quality
Great judgment and intuition about security, testing, code quality, and tech debt
Appreciation of continuous delivery, clean code, and automated testing
Ability to design good generalizations while avoiding premature overengineering
Ownership & Independence
Entrepreneurial work ethic, drive for excellence, and belief in meritocracy, personal responsibility, and hard work
Ability to own features end-to-end with minimal direction
Highly independent and able to come up to speed without heavy assistance
Work Style & Collaboration
Experience and comfort working on a remote team
Ability to handle multiple work streams and frequent context switching as priorities change
Flexible work hours (occasional nights and weekends) when necessary to sprint for urgent deliverables
Humility to learn from others while also being able to advocate for and execute on improvements you believe in
Eligibility
US citizen or permanent resident, and based in the US
Nice-to-Have Qualifications
Startup experience — comfort with ambiguity and wearing multiple hats
Strong TypeScript proficiency
Strong network of top-tier engineers
Familiarity with computer vision or ML inference pipelines
Experience integrating with industrial/IoT systems
Functional programming style preferences (immutability, declarative patterns)
Benefits/Perks
🏥 Full medical, dental, and vision benefits
🌴 Unlimited PTO
💰401(k) with 4% safe-harbor match
📈 Equity in an early-stage, fast-growing company
💻 Home office allowance
Benefits mentioned
- 🏥 Full medical, dental, and vision benefits
- 🌴 Unlimited PTO
- 💰401(k) with 4% safe-harbor match
- 📈 Equity in an early-stage, fast-growing company
- 💻 Home office allowance
Requirements mentioned
- Experience & Skills2+ years of professional software engineering experience (high-quality internships included)Strong coding skills, problem-solving ability, and CS fundamentals (data structures, algorithms, system design)Proficiency with agentic coding tools (Claude Code, Codex, Cursor) and AI-first development styleComfort working across the stack — you don't need to be an expert in everything, but you're willing to write a React component, debug a Kubernetes pod, or tune a database query as needed
- Engineering Judgment & QualityGreat judgment and intuition about security, testing, code quality, and tech debtAppreciation of continuous delivery, clean code, and automated testingAbility to design good generalizations while avoiding premature overengineering
- Ownership & IndependenceEntrepreneurial work ethic, drive for excellence, and belief in meritocracy, personal responsibility, and hard workAbility to own features end-to-end with minimal directionHighly independent and able to come up to speed without heavy assistance
- Work Style & CollaborationExperience and comfort working on a remote teamAbility to handle multiple work streams and frequent context switching as priorities changeFlexible work hours (occasional nights and weekends) when necessary to sprint for urgent deliverablesHumility to learn from others while also being able to advocate for and execute on improvements you believe in
- EligibilityUS citizen or permanent resident, and based in the US
- Startup experience — comfort with ambiguity and wearing multiple hats
- Strong TypeScript proficiency
- Strong network of top-tier engineers
- Familiarity with computer vision or ML inference pipelines
- Experience integrating with industrial/IoT systems
- Functional programming style preferences (immutability, declarative patterns)
No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.