Software Engineer - Data Plane (Geospatial AI)

TL;DR

Software Engineer - Data Plane (Geospatial AI): Build preprocessing and postprocessing services that transform raw satellite, drone, and aerial imagery into AI-ready inputs and convert model outputs into actionable geospatial products with an accent on high-throughput data pipelines, coordinate reference systems, and diverse formats. Focus on designing resilient distributed services, optimizing memory-efficient processing for terabytes of imagery, and ensuring interoperability across geospatial workloads.

Location: Remote (Graz, Austria)

Company

Scalable AI platform providing real-time geospatial insights from satellite and drone imagery, serving intelligence, defense, government, and enterprise customers; founded in 2020 with $35M Series A funding from top US and European investors.

What you will do

• Build and optimize preprocessing pipelines to ingest, tile, and transform geospatial imagery (GeoTIFF, multispectral, SAR, COG) for ML inference
• Develop postprocessing services converting model outputs into production deliverables like segmentation masks, probability maps, and vector detections in GeoPackage
• Design resilient, memory-efficient services using distributed worker pools for large-scale imagery processing
• Work on unified Huntr-to-Replika pipeline automating detection outputs to 3D-ready terrain tiles
• Tackle coordinate reference systems, spatial indexing, and data format interoperability challenges
• Optimize for geospatial workloads including memory-bound processing, batch operations, and streaming large raster datasets

Requirements

• Strong practical knowledge of Python with experience building data-intensive applications
• Experience with geospatial data formats, GDAL, or raster/vector processing
• Understanding of coordinate reference systems and spatial data transformations
• Experience with data pipelines, ETL processes, or batch processing systems
• Familiarity with async processing patterns, task queues (Redis), and worker architectures
• Solid understanding of PostgreSQL and working with large datasets
• Strong software engineering fundamentals: testing, CI/CD, observability, reliability
• Outcome-oriented mindset focused on performance and scale optimization

Nice to have

• Hands-on experience with Kubernetes in production environments
• Familiarity with imagery processing or computer vision pipelines
• Experience with memory optimization for large file processing
• Background deploying systems in regulated or air-gapped environments

Culture & Benefits

• Own the foundational data backbone for detection and 3D reconstruction workflows
• Work on geospatial challenges at continental scale across diverse deployment environments (AWS, on-prem, edge)
• Strong technical culture collaborating with ML Engineers, GIS specialists, and 3D graphics engineers
• Healthy work-life balance with flexible working arrangements
• Competitive compensation with personalized benefits including learning opportunities, mental wellbeing programs, and healthcare