Senior Software Engineer, Scientific Computing – Hardware/Sensors

KoBold Metals

Senior software engineer building scientific computing and ML systems for KoBold Metals, which uses AI and novel sensors for mineral exploration. Developing scalable pipelines and tooling across scientific, geophysical, and hardware data.

Posted 8/18/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $170,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining scientific computing libraries and data processing solutions, with proficiency in Python and foundational machine learning concepts. Capable of collaborating with cross-functional teams and effectively communicating complex technical issues to non-experts.

Highest-signal resume keywords

Python ProficiencyMachine Learning ConceptsData VisualizationScientific Computing LibrariesProject Ownership

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningData Processing SolutionsStatistical ApproachesDeep LearningXarrayNumPyScientific Instrument OutputGeophysical DataData AnalysisDebugging

Soft Skills

CollaborationCommunicationProblem-SolvingOwnershipCoaching

Tools & Technologies

Jupyter NotebookData PipelinesField-Deployed SystemsLab InstrumentationThird-Party Tooling

Industry Keywords

Mineral ExplorationGeologyScientific ComputingData ScienceExploration Sites

Tech Stack

Tools & technologies

NumpyPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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