Senior Software Engineer, Scientific Computing (Hardware/Sensors)

About the Company

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. Since our founding in 2018, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer.

Responsibilities

• Architect, implement, and maintain foundational scientific computing libraries used in mineral exploration analyses
• Integrate third-party and domain-specific tooling into coherent, repeatable pipelines
• Build tooling to increase machine learning velocity, including prototyping in Jupyter notebooks and building experimentation frameworks
• Debug across boundaries including third-party binaries, undocumented formats, and deployed instrumentation
• Apply and coach team members on engineering best practices like writing robust, testable, and composable code
• Collaborate with data scientists, geoscientists, and engineers to invent a modern scientific computing stack
• Occasional travel to exploration sites around the world (approximately twice per year)

Requirements

• At least 5 years of experience as a software engineer, data scientist, or ML engineer
• Track record of building production quality data processing solutions or tooling
• Proficiency with foundational ML concepts including statistical, traditional, and deep-learning approaches
• Proficiency in Python, ideally including array-based packages such as xarray and numpy
• Experience with physical world data such as physical measurements, scientific instrument output, imagery, or geophysical data
• Experience in visualizing scientific data for domain experts
• Hands-on history with hardware, flight, space, lab instrumentation, or field-deployed systems
• Ability to work with limited, disparate, and noisy data sources