🛠 Tech Stack

💼 About This Role

You'll build and maintain processing pipelines and algorithms that turn raw hyperspectral satellite imagery into science-grade data products, working alongside senior remote sensing scientists and software engineers. Your core impact is ensuring every pipeline stage is scientifically sound, from radiometric corrections to atmospheric compensation. This role stands out because you'll write production code that runs at scale, combining math, physics, and software engineering on a team that has delivered technologies to Mars for NASA/JPL.

🎯 What You'll Do

• Build scalable data processing pipelines for satellite imagery
• Implement spectral analysis algorithms including classification and unmixing
• Optimize data I/O and compute for large hyperspectral datasets
• Participate in calibration/validation efforts against reference data

📋 Requirements

• B.S. or M.S. in a quantitative field (math, physics, etc.)
• Hands-on experience with hyperspectral or multispectral remote sensing data
• Strong Python proficiency with an engineering mindset (modular, testable code)
• Understanding of remote sensing physics: reflectance, atmospheric correction, radiative transfer

✨ Nice to Have

• Experience building data pipelines in AWS (S3, EC2, Lambda, Batch)
• Familiarity with atmospheric correction models (MODTRAN, 6S, FLAASH)
• Exposure to ML frameworks (PyTorch, TensorFlow, scikit-learn) applied to geospatial data

🎁 Benefits & Perks

• 🩺 **100% employer-paid health, dental, and vision coverage
• 📈 Early-stage equity package
• 🚀 Opportunities to grow into senior scientist or engineering roles

🚩 Heads Up

• ITAR restrictions require US citizenship or green card, limiting applicant pool
• Junior role expects deep physics/math knowledge and production-grade engineering skills