Finding the materials of the future with AI and HI. Backed by a16z.
About the role
At KoBold, software engineers have the unique opportunity to embed directly with their users and learn the ins and outs of mineral exploration and geology while developing state of the art technology solutions. Unlike traditional software engineering roles, we don’t simply ship code and passively wait for feedback about its utility: our userbase includes our colleagues… and ourselves!
What they're looking for
- 4+ years of software engineering experience, ideally building production cloud data systems
- Proficiency with Python
- Ability to write production-quality code that is correct, readable, well-tested, scalable and extensible
- Skilled in large-scale system design
- A track record of taking ownership from definition of the problem and delivering projects with demonstrated impact in an iterative manner
- Ability to explain technical problems to and collaborate on solutions with domain experts who are not software developers. A strong communicator who enjoys working with colleagues across the company
More about this role
We are open to hiring at multiple levels for this role, depending on experience, impact, and demonstrated ownership. While this role is level-agnostic, it is best suited for engineers with experience owning production systems and working in highly ambiguous problem spaces.
In the coming decades, our world needs far more critical minerals including copper, lithium, and cobalt, to build electric infrastructure, vehicles, data centers, and electronics. The mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered.
KoBold is the leading scientific mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects.
Our first...
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