Senior Software Engineer, Scientific Computing – Hardware/Sensors

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🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $170k - $215k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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KoBold Metals

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

🔬 Science

⚡ Energy

Artificial Intelligence • Science • Energy

KoBold Metals is a company specializing in advanced mineral exploration. By investing over $100 million annually across 60+ projects on five continents, KoBold is at the forefront of using artificial intelligence and novel hardware to transform mineral exploration into a repeatable science. The company aggregates comprehensive data on the Earth's crust and utilizes proprietary AI tools, including the Machine Prospector® system, to minimize uncertainties in exploration. KoBold Metals is committed to ethical exploration practices and is backed by world-class investors dedicated to discovering and developing new battery metal resources. Their innovative approach leverages AI to build the world's largest geoscience information collection and model subsurface data statistically.

📋 Description

• Architect, implement, and maintain foundational scientific computing libraries for mineral exploration analyses • Integrate third-party and domain-specific tooling into coherent, repeatable pipelines • Build tooling for rapid Jupyter notebook prototyping, experimentation, evaluation, simulation, scalable ML pipelines, and repeatable model organization • Debug across third-party binaries, undocumented formats, other people's code, and deployed instrumentation • Apply and coach engineering best practices, including robust, testable, and composable code • Collaborate with data scientists, geoscientists, and engineers to develop KoBold's scientific computing stack • Travel occasionally to exploration sites to observe product impact and design technologies supporting mineral discovery

🎯 Requirements

• At least 5 years of experience as a software engineer, data scientist, or ML engineer • Work experience across many distinct technical problem types • Track record of building production-quality data processing solutions or tooling that delivered business value • Proficiency with foundational ML concepts, including statistical, traditional, and deep-learning approaches • Proficiency in Python, ideally including xarray and NumPy • Experience with physical-world data, including measurements, scientific instrument output, imagery, or geophysical data • Experience visualizing scientific data for domain experts • Hands-on experience with hardware, flight, space, lab instrumentation, or field-deployed systems • Ability to work with complex geology and mineral exploration domains and limited, disparate, noisy data sources • Collaborative ability with data scientists, geoscientists, software engineers, and operations stakeholders • Ability to take ownership of large projects and independently prioritize multiple tasks • Ability to explain technical problems and solutions to non-software domain experts • Excitement about joining a fast-growing early-stage company and working in a dynamic environment • Must be legally authorized to work in the United States or Canada

🏖️ Benefits

• Occasional travel to exploration sites around the world, approximately twice per year depending on project needs • Equal employment opportunity workplace and affirmative action employer