Perennial
Perennial is an innovative company specializing in digital soil mapping technology that measures soil carbon and soil health globally with high accuracy. By utilizing machine learning algorithms, physical soil samples, and microbial-informed predictors, Perennial overcomes the high costs and limitations of traditional soil sampling methods. Their technology works across diverse agricultural contexts and provides accurate soil organic carbon (SOC) measurements with reduced or even eliminated sampling requirements, especially beneficial for organizations not needing strict compliance. This enables cost-effective, scalable solutions for measuring soil health in various regions worldwide.
Senior Software Engineer
March 21
Perennial
Perennial is an innovative company specializing in digital soil mapping technology that measures soil carbon and soil health globally with high accuracy. By utilizing machine learning algorithms, physical soil samples, and microbial-informed predictors, Perennial overcomes the high costs and limitations of traditional soil sampling methods. Their technology works across diverse agricultural contexts and provides accurate soil organic carbon (SOC) measurements with reduced or even eliminated sampling requirements, especially beneficial for organizations not needing strict compliance. This enables cost-effective, scalable solutions for measuring soil health in various regions worldwide.
📋 Description
• Building the world’s leading verification platform for soil-based carbon removal. • Unlocking soil as one of the world’s largest carbon sinks. • Fusing machine learning, ground observations, and satellite data to map soil carbon. • Working alongside a diverse team with backgrounds in science, technology, carbon markets, and agriculture. • Developing tools that enable internal and external use of Perennial’s digital soil mapping products.
🎯 Requirements
• 7+ years of software engineering experience, including building geospatial web applications or data platforms • Deep experience with Python and expertise in developing and scaling RESTful APIs • Familiarity with front-end frameworks (React preferred) and ability to prototype and iterate on user-facing features • Skill in cloud infrastructure (AWS/GCP), containerized (Kubernetes) and serverless (AWS Lambda) architectures, and modern CI/CD workflows • Experience with geospatial data and tools such as GDAL, PostGIS, and Google Earth Engine (GEE)
🏖️ Benefits
• Generous PTO • Health, vision, dental insurance • 401k • HSA benefits • Fully stocked kitchen
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