Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 56.000 € Gross/Year
- Location
- Graz
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop efficient pipelines for processing geospatial imagery and optimize mechanisms for converting model outputs into production-ready formats.
Job Technologies
Your role in the team
- Build and optimize preprocessing pipelines that ingest, tile, and transform geospatial imagery (GeoTIFF, multispectral, SAR, COG) for downstream ML inference.
- Develop postprocessing services that convert model outputs into production-ready deliverables: segmentation masks, probability maps, and vector detections in GeoPackage format.
- Design resilient, memory-efficient services for processing large-scale imagery through distributed worker pools.
- Work on our unified Huntr-to-Replika pipeline, automating the flow from detection outputs to 3D-ready terrain tiles with auto-generated configuration.
- Tackle challenges around coordinate reference systems, spatial indexing, and data format interoperability.
- Optimize for the unique characteristics of geospatial workloads: memory-bound processing, batch-heavy operations, and streaming large raster datasets.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Understanding of coordinate reference systems and spatial data transformations.
- Vertrautheit mit asynchronen Verarbeitungsmustern, Task-Queues (Redis) und Worker-Architekturen.
- Solid understanding of PostgreSQL and working with large datasets.
- Strong software engineering fundamentals: testing, CI/CD, observability, reliability.
- You're outcome-oriented and enjoy optimizing systems for performance and scale.
- Vertrautheit mit Bildverarbeitung oder Computer-Vision-Pipelines.
- Background deploying systems in regulated or air-gapped environments.
Experience
- Starkes praktisches Wissen in Python mit Erfahrung im Aufbau datenintensiver Anwendungen.
- Experience with geospatial data formats, GDAL, or raster/vector processing.
- Experience with data pipelines, ETL processes, or batch processing systems.
- Ideally: Hands-on experience with Kubernetes in production environments.
- Experience with memory optimization for large file processing.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Job Locations
Topics that you deal with on the job
This is your employer
Blackshark.ai GmbH
Graz
Our technology is helping to bring the digital and physical world together be it for purpose of simulation, social interaction, gaming, or learning – Blackshark.ai is the 3D canvas for the digital world, acting as crucial enabling technology for the metaverse.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication