Senior Software Engineer, Scientific Computing (Hardware/Sensors)

As a Senior Software Engineer, Scientific Computing at KoBold Metals, you will apply software engineering and machine learning to remote-sensing, drillhole, imaging, geophysics and other mineral exploration data to build scalable ML systems for high-speed, high-quality decisions on mineral exploration projects.

Responsibilities:

• Architect, implement, and maintain foundational scientific computing libraries for mineral exploration analyses.
• Integrate third-party and domain-specific tooling into a coherent, repeatable pipeline.
• Build tooling to increase machine learning progress velocity, including rapid prototyping in Jupyter notebooks and experimentation frameworks.
• Debug across boundaries, including third-party binaries and undocumented formats.
• Apply and coach team members on engineering best practices, such as writing robust, testable, and composable code.
• Collaborate with data scientists, geoscientists, and engineers to invent the modern scientific computing stack for mineral exploration.
• Occasional travel to exploration sites around the world to observe the impact of scientific computing on KoBold's exploration products and design new technologies.

Qualifications:

• 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 have delivered business value.
• Proficiency with foundational concepts of ML, including statistical, traditional, and deep-learning approaches.
• Proficiency in Python, ideally including array-based packages such as xarray and numpy.
• Experience with data from the physical world, 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.