Frontend Software Engineer

KoBold

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Location: United States, Canada
Job Type: full-time
Work Format: 🌍 Remote
Salary: $160,000 - $240,000
Posted: July 20, 2026

Job Description

About the company:

The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers.

KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists.

KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery.

KoBold is privately held; investors include institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi.

Responsibilities:

Build intuitive and elegant user experiences to empower fellow KoBolders with backgrounds in geology, geophysics, geochemistry, and data science.
Own and improve KoBold’s existing web apps that manage data upload, discovery, search, and visualization.
Collaborate with scientists to architect new tools to support complex, interactive 2D/3D geospatial visualizations, plotting, and data labeling.
Champion frontend best practices. Modernize our stack to standardize our UIs, prototype faster, and deploy useful apps for our geologists and data scientists. Mentor junior developers.
Setup systems to automate the testing of our UIs.

Qualifications:

Experience in architecting, developing, and maintaining frontend applications that provide a rich user experience.
Experience in writing production-quality code that is correct, performant, scalable, and extensible.
Skilled with data visualization libraries (D3, Leaflet, etc).
Experience with the following: modern JavaScript tools (node.js, TypeScript, React, Angular, etc), modern deployment and cloud technologies, Python web frameworks (Django, Panel, Flask, etc), and classic frontend development (HTML, CSS, etc).

Bonus Qualifications

Experience with geospatial data and building map-based experiences.
Familiarity with containerization and container orchestration platforms, such as Docker, AWS ECS, Kubernetes, etc.
Experience with frontend automated-testing systems (Cypress, Selenium, etc).

A great candidate will also be:

Highly intellectually curious and eager to learn about all aspects of mineral exploration, particularly in the geology domain. Will be open to working directly with geologists in the field.
Excited to work on a wide range of problems in a dynamic work environment, to take on a wide range of responsibilities, and to learn new tech and science.
Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
A strong communicator who enjoys working with colleagues across the company.

This position is Full-time.

The US base salary range for this full-time exempt position is $160,000 - $240,000.

Location: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada.

What to Expect

Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field.

🎯 Who is this job for?

This role is best suited for a Senior Frontend Software Engineer with strong experience building data-intensive web applications and interactive visualization tools. The candidate should be proficient in React, TypeScript, JavaScript, HTML, CSS, Node.js, Python (Django/Flask), D3, Leaflet, cloud technologies, automated frontend testing, and modern deployment tools, with geospatial technologies, Docker, and Kubernetes as strong advantages. They should be familiar with architecting scalable frontend applications, developing interactive 2D/3D visualizations, collaborating with scientists on complex workflows, mentoring engineers, and delivering performant, maintainable user interfaces.

💬 Potential Interview Questions

How would you architect a React application for interactive 2D/3D geospatial data visualization?
Answer: I would separate rendering, state management, and data-fetching layers, use reusable visualization components, optimize rendering for large datasets, and keep computationally intensive tasks off the main UI thread where possible.
When would you choose D3.js over Leaflet, and can they be used together?
Answer: D3 is best for custom data visualizations and complex charts, while Leaflet is designed for interactive maps. They are often used together, with Leaflet providing the map and D3 rendering custom overlays or visual elements.
How do you optimize React applications that render thousands of geospatial objects?
Answer: I would use virtualization, clustering, lazy loading, efficient state updates, memoization where appropriate, and avoid unnecessary re-renders by profiling the application with React DevTools.
How would you design a frontend that handles large scientific datasets efficiently?
Answer: I would implement incremental data loading, pagination or chunking, caching, asynchronous processing, efficient data structures, and progressive rendering to keep the UI responsive.
How would you integrate a React frontend with a Python backend built using Django or Flask?
Answer: I would expose REST or GraphQL APIs, handle authentication securely, separate frontend and backend concerns, validate API responses, and manage asynchronous requests with proper loading and error states.
What testing strategy would you use for a frontend application with complex visualizations?
Answer: I would combine unit tests for business logic, component tests with React Testing Library, end-to-end tests using Cypress, and visual regression testing to detect unintended UI changes.
How would you deploy a frontend application using Docker and Kubernetes?
Answer: I would containerize the application, automate builds through CI/CD, deploy using Kubernetes with health checks and rolling updates, and monitor performance and availability after deployment.
What challenges arise when working with geospatial data in web applications?
Answer: Common challenges include rendering large datasets efficiently, coordinate system conversions, handling different map projections, optimizing spatial queries, and maintaining smooth interactions during zooming and panning.
How would you mentor junior frontend engineers while improving engineering standards?
Answer: I would provide constructive code reviews, encourage design discussions, establish reusable patterns and documentation, promote testing and clean architecture, and support learning through pair programming and regular knowledge sharing.
Describe a frontend project where you collaborated closely with domain experts to build a complex application.
Answer: I worked closely with subject matter experts to understand domain-specific workflows, translated technical requirements into intuitive user interfaces, iterated based on feedback, and delivered a solution that balanced usability, performance, and business objectives.

📋 Job Summary

KoBold Metals is an AI-driven mineral exploration company using advanced machine learning and proprietary technology to discover the critical minerals needed for the clean energy transition. As a Frontend Software Engineer, you'll build and enhance data-intensive web applications using React, TypeScript, JavaScript, Python, D3, Leaflet, HTML/CSS, and cloud technologies, creating powerful visualization tools that help geologists and data scientists make exploration decisions. This is a full-time remote role open to candidates across the United States and Canada, offering a base salary of $160,000–$240,000 plus the opportunity to work on cutting-edge AI products with real-world impact. If you're excited by complex data visualization, modern frontend engineering, and applying technology to solve global resource challenges, KoBold is an exceptional place to make a difference.