Senior Software Engineer, Scientific Computing (Hardware/Sensors)
KoBold Metals3 hours ago
Base Salary
$170k - $215k/yr
Responsibilities
- Architect, implement, and maintain foundational scientific computing libraries for mineral exploration analyses.
- Integrate third-party and domain-specific tooling into coherent, repeatable pipelines across heterogeneous systems.
- Build machine-learning experimentation, evaluation, simulation, and production-pipeline tooling, including support for rapid prototyping in Jupyter notebooks.
- Organize models and outputs for repeatability and discoverability.
- Debug across third-party binaries, undocumented formats, external code, and deployed instrumentation.
- Apply and coach engineering best practices for 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 evaluate scientific computing products and design new technologies.
Requirements
- At least 5 years of experience as a software engineer, data scientist, or ML engineer; most successful candidates will have closer to 10 years.
- Experience across many distinct technical problem types and a track record of delivering production-quality data-processing solutions or tooling with business value.
- Proficiency with foundational machine-learning concepts, including statistical, traditional, and deep-learning approaches.
- Proficiency in Python, ideally including xarray and numpy.
- Experience working with physical-world data such as measurements, scientific instrument output, imagery, or geophysical data.
- Experience visualizing scientific data for domain experts.
- Hands-on experience with hardware, flight, space, laboratory instrumentation, or field-deployed systems.
- Ability to work through novel technical problems involving complex geology, mineral exploration practices, and limited, disparate, noisy data sources.
- Ability to collaborate with data scientists, geoscientists, software engineers, operations, and other domain experts.
- Ability to take ownership of large projects, explain technical issues to non-software developers, prioritize multiple tasks independently, and work effectively in a dynamic early-stage company.
Benefits
- Full-time exempt position.
- Remote work available to candidates located anywhere in the United States or Canada.
- Occasional travel to exploration sites worldwide, approximately twice per year depending on project needs.
- Candidates must be legally authorized to work in the United States or Canada.
Tech Stack
NumPyPython
Categories
Data EngineeringML Engineering
About KoBold Metals
Finding the materials of the future with AI and HI: KoBold Metals discovers the materials critical for the electric vehicle and renewable energy revolutions.