Senior Software Engineer, Scientific Computing (Hardware/Sensors)
A Senior Software Engineer works on scientific computing for mineral exploration, building scalable ML systems with sensors and data, collaborating with data scientists and geologists to improve discovery rates for vital energy transition metals.
- Compensation
- $170K–$215K / yr
- Location
- Remote
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Full time
- Experience
- 5+ years
- Category
- Hardware
- Posted
Skills
Must have
- At least 5 years of experience as a software engineer, data scientist or ML engineer (most great candidates have closer to 10 years)
- Work experience across many distinct technical problem types
- Track record of building production quality data processing solutions that deliver business value
- Proficiency with foundational ML concepts (statistical, traditional, deep-learning approaches)
- Proficiency in Python, ideally including array-based packages like xarray and numpy
- Experience with data from physical sources (instrument output, imagery, geophysical data)
- Experience visualizing scientific data for domain experts
- Hands-on history with hardware, lab instrumentation, or field-deployed systems
- Drive to increase velocity/effectiveness of data scientists in experimental and production workflows
- Capacity to dive deep on novel problems applying new tech to mineral exploration (understanding geology, working with limited/noisy data)
- Collaborative attitude to work with stakeholders across backgrounds (data scientists, geoscientists, operations)
- Ability to take ownership of large projects
- Intellectual curiosity and eagerness to learn about mineral exploration, particularly geology
- Ability to explain technical problems to domain experts and collaborate with non-technical colleagues
- Excitement about joining a fast-growing early-stage company, comfort with a dynamic environment
- Keen to build technical products aligned with business objectives
- Ability to independently prioritize multiple tasks
Full description
Senior Software Engineer, Scientific ComputingAbout the Company
In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, 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 was founded to be the first AI native 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 discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations.
KoBold runs exploration programs in eight countries, all with the potential for another discovery.
KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi.
About the Role
At KoBold we believe that a modern scientific computing stack will enable systematic mineral exploration and materially improve our rate of mineral discovery. This role is a key ingredient to this strategy. As a member of our scientific computing team, you will apply software engineering and machine learning to remote-sensing, drillhole, imaging, geophysics and other mineral exploration data in order to build scalable ML systems to help make high-speed, high-quality decisions for our mineral exploration projects. Collaborating with our exceptional team of data scientists and geologists, you will tackle complex scientific problems head-on and collectively pave the way for discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world.