blackshark.ai Tech Stack

AI-powered geospatial object detection and 3D Earth simulation

Software Development Graz 51–200 employees Privately Held

Blackshark.ai operates a geospatial AI platform built on PyTorch, GDAL, and Unreal Engine, combining satellite imagery processing with synthetic 3D world generation. The engineering-heavy hiring focus and active project list around vision model training, ML orchestration, and GPU inference services reflect their core challenge: scaling image processing and inference across planet-scale data while optimizing memory-bound operations.

Tech Stack 20 technologies

Core StackPyTorch Python Redis PostgreSQL Kubernetes FastAPI Docker AWS C++ Vue ArcGIS Linux GDAL GPU Unreal Engine OpenLayers Leaflet deck.gl QGIS Windows

What blackshark.ai Is Building

◆Challenges

Image processing methods struggling to keep up
Manual work time-consuming
Data overload
Image processing struggle
Coordinate reference systems challenges
Memory-bound processing
Deployment flexibility required
Memory optimization challenges
Harder to gain meaningful insights
Turning geospatial data into operational systems

▲Active Projects

Detect and map buildings, roads, vegetation
Train and fine-tune vision models for geospatial analytics
Contribute to no-code ai platform for model training
Train and fine-tune state-of-the-art vision models
Research and implement cutting-edge ml architectures
Huntr-to-replika pipeline automation
Preprocessing pipelines for geospatial imagery
Postprocessing services for model outputs
Ml orchestration pipelines
Gpu inference services

Hiring Activity

Steady10 roles · 3 in 30d

Department

Engineering

Data

Ops

Research

Seniority

Mid

Senior

Junior

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About blackshark.ai

Blackshark.ai develops AI and 3D geospatial products for aerospace, defense, autonomous systems, and smart-city applications. Their platform has two main surfaces: a no-code AI model training environment for object detection and classification on satellite imagery, and a global 3D digital twin of Earth built from satellite and aerial data with semantic overlays (terrain, buildings, vegetation, infrastructure). The company operates out of Graz, Austria, with active hiring across Austria and the United States.

HeadquartersGraz

Company Size51–200 employees

Hiring MarketsAustria, United States

Frequently Asked Questions

What tech stack does blackshark.ai use?

PyTorch, Python, GDAL, PostgreSQL, Kubernetes, FastAPI, Docker, AWS, Unreal Engine, C++, and geospatial libraries including OpenLayers, QGIS, and ArcGIS for visualization and data handling.

What is blackshark.ai working on?

Building vision models for geospatial object detection (buildings, roads, vegetation); developing ML orchestration and GPU inference pipelines; automating data preprocessing for satellite imagery; and creating preprocessing/postprocessing services for model outputs.

Where is blackshark.ai hiring?

Austria and the United States. Active roles are concentrated in engineering (5), data (2), operations (1), and research (1), with a mid-to-senior profile.