# Senior Software Engineer, Scientific Computing (Hardware/Sensors)

**Company**: KoBold Metals
**Location**: Remote
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $170,000 - $215,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/koboldmetals/jobs/4725284005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_32f5fa67-fd0

## Description

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.

## Skills

### Required
- Python
- machine learning
- software engineering
- data processing
- scientific computing

### Nice to have
- xarray
- numpy
- Jupyter notebooks
- geophysical data
- physical measurements

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/koboldmetals/jobs/4725284005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)