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Ai Engineer
hace 3 semanas
Bilbao
- Posted 1 day ago
Shape the future of satellite imagery with AI-driven innovation.
**Who we are**:
SATLANTIS designs and manufactures very high-resolution optical payloads (iSIM family) for small satellites, enabling complete end-to-end Earth Observation missions. We operate at the forefront of imaging, onboard processing, and applied research for critical domains including environmental monitoring, energy, defense, and agriculture.
We are seeking a talented AI Engineer to join our Engineering team in Leioa (Bizakaia, Spain). You will work on cutting-edge technology in satellite image processing and onboard intelligence through research, development, and deployment of AI/ML algorithms.
If you’re passionate about space, AI, and Earth observation, this is your launchpad
**What’s in it for you?**:
- **Flexible working hours**: Work-life balance starts with trust in how you manage your time.
- **Young, proactive, and dynamic environment**: Join a collaborative team where autonomy and innovation are part of our daily mindset.
- **Private health insurance**: Your wellbeing comes first—with top-tier medical coverage.
- **Office perks**: Enjoy fresh fruit, quality coffee, and an energizing work atmosphere.
- **Discounts at campus facilities**: Get access to local restaurants and sports installations on the UPV/EHU campus.
- **International exposure**: Collaborate with ESA, NASA, and research institutions worldwide.
**Your mission**:
As an AI Engineer, you will design, build, and optimize machine learning models and data pipelines that empower satellite operations and image processing. You’ll work alongside experts working in multi-disciplinary fields including satellites, space operations, image processing, data pipeline and geospatial analytics to co-develop AI solutions that extract actionable insights from SATLANTIS’s high-resolution imagery.
This is a full-stack applied AI role: from ground-based pipelines for advanced image processing to lightweight onboard models optimized for in-orbit inference.
You’ll play a central role in scaling SATLANTIS’s AI capabilities across missions, shaping the future of next-generation missions from space.
**Your main responsibilities will include**:
- Building AI pipelines for the ground segment—training and deploying deep learning models for super resolution, atmospheric correction, methane detection, crop and forestry classification, and more.
- Designing scalable workflows, automating data ingest, tiling, and inference on both on-prem and cloud environments (Docker/K8s).
- Validating performance, benchmarking PSNR/SSIM against simulated and in-orbit data, and creating continuous test dashboards.
- Porting lightweight models for in-orbit demonstrations, optimizing to ONNX/TensorRT when missions require it.
- Collaborating with Image Processing, Flight Software, and Systems Engineering teams for end-to-end product delivery.
- Sharing knowledge through code reviews, workshops, and SATLANTIS School sessions for interns.
**What will set you up for success?**:
- You hold a BSc/MSc in Software Engineering, Computer Science, Electrical Engineering, Aerospace, Physics, or similar fields—providing a solid foundation for AI in space.
- You have up to three years of experience designing and deploying ML models in production or scientific workflows.
- You are proficient in DL frameworks (PyTorch, TensorFlow, ONNX, TensorRT).
- You feel comfortable working with CI/CD tools.
- You have a strong understanding of model evaluation, generalization, and uncertainty estimation.
- You are familiar with geospatial libraries: Rasterio, Xarray, GDAL, etc.
- You have an English level of at least B2, allowing you to contribute to international projects with ESA and NASA.
**You’ll stand out even more if you bring**:
- Skills in C & C++ programming and GNU/Linux OS.
- Experience with imaging algorithms and spatiotemporal models.
- Knowledge of satellite EO data formats (GeoTIFF, NetCDF).
- Hands-on expertise with CUDA/C++ for servers and embedded GPUs.
- Knowledge of radiometry, photogrammetry, or OGC APIs & STAC metadata.
- Contribution to open-source ML or EO projects
**Ready to launch your AI career into orbit?**
If you’re passionate about AI, space missions, and turning data into actionable insights for Earth observation—this is your opportunity.
