Geospatial / Remote Sensing Engineer
Location: Remote, Africa
Full Time
About the Startup
We are an early-stage, Africa-based, remote-first stealth startup developing physics- and science-informed AI systems to address complex scientific and environmental challenges. At the very start of our journey, we are laying the foundations for tools that combine advanced computational methods, spatial intelligence, and data-driven modeling to generate actionable insights across scientific and environmental domains.
Our approach is mission-driven, focusing on applying rigorous scientific methods and AI/ML to environmental and climate challenges in Africa. We cultivate a collaborative, multidisciplinary culture that values careful experimentation, curiosity, and practical impact.
Our team is remote-first across Africa, allowing talented individuals to contribute from anywhere on the continent while participating in a community committed to innovation, learning, and meaningful scientific impact.
Core principles and benefits of working with us include:
- Mission-driven impact: Contribute to initiatives that apply rigorous science and AI/ML to strengthen environmental and climate understanding across Africa
- Flexible, remote work: Collaborate with an Africa-based team from anywhere on the continent
- Growth Opportunity: Access to professional learning platforms and resources for continuous skill development
- Collaborative culture: Join a multidisciplinary, values-aligned team operating at the intersection of science, technology, and social impact
- Highly competitive compensation and equity options: Receive packages that reflect your expertise and contributions, with the potential to gain equity in the company
- Access to cloud services, latest development tools, and freedom to experiment
Role Overview
We are looking for a Geospatial / Remote Sensing Engineer to lead the design and implementation of satellite data pipelines, preprocessing workflows, and geospatial analytics. You will work closely with ML and science teams to build foundational datasets powering our models.
Key Responsibilities
- Build automated pipelines for ingesting and processing satellite data
- Develop geospatial analytics and feature extraction workflows
- Work with Earth observation datasets (Sentinel, Landsat, MODIS, radar, etc.)
- Construct geospatial data products for downstream ML models
- Maintain geospatial infrastructure and metadata standards
- Collaborate with climate, ML, and HPC teams on end-to-end pipelines
Requirement
- 3-5 years experience in GIS/Remote Sensing Analysis
- Proficiency with geospatial tools (GDAL, rasterio, QGIS, xarray)
- Strong Python skills and experience processing large Earth observation datasets
- Familiarity with atmospheric, land-surface, or environmental data
- Experience with remote sensing algorithms (classification, change detection, etc.)
- Ability to optimize pipelines for large-scale geospatial workloads
- Comfortable communicating in English, both written and verbal
Preferred
- Experience with SAR processing, atmospheric correction, or radiometric calibration
- Experience building geospatial APIs or data services
- Familiarity with ML workflows involving geospatial data
To apply, please complete and submit your application using this form.
Desired Skills
How to Apply
Find more details here https://www.notion.so/Geospatial-Remote-Sensing-Engineer-2b38d7ddd33580a7b205d59cb0a5528a
