{"id":150765,"url":"https://alion.io/job/satlantis-ai-engineer-vacancy","title":"AI ENGINEER VACANCY","company":{"id":53801,"name":"Satlantis","domain":"satlantis.com","url":"https://alion.io/company/satlantis","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"D","score":44,"open_postings":15,"ghost_share":0.933,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"GDAL","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2025-09-18T07:52:47Z","employer_posted_date":"2026-05-20","last_verified_at":"2026-10-16T19:38:49Z","board_verified":true,"closed_at":null,"days_open":393,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":393},"description":"Shape the future of satellite imagery with AI-driven innovation.\nWho we are\nSATLANTIS 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.\nWe are seeking a talented AI Engineer to join our Engineering team in Leioa (Bizkaia, Spain). You will work on cutting-edge technology in satellite image processing and onboard intelligence through research, development, and deployment of AI/ML algorithms.\nIf you’re passionate about space, AI, and Earth observation, this is your launchpad!\nWhat’s in it for you?\nMission-driven innovation: Apply AI to space technology that tackles climate, energy, and global challenges.\nFlexible working hours: Work-life balance starts with trust in how you manage your time.\nYoung, proactive, and dynamic environment: Join a collaborative team where autonomy and innovation are part of our daily mindset.\nPrivate health insurance: Your wellbeing comes first, with top-tier medical coverage.\nOffice perks: Enjoy fresh fruit, quality coffee, and an energizing work atmosphere.\nDiscounts at campus facilities: Get access to local restaurants and sports installations on the UPV/EHU campus.\nInternational exposure: Collaborate with ESA, NASA, and research institutions worldwide.\nYour mission\nAs 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.\nThis is a full-stack applied AI role: from ground-based pipelines for advanced image processing to lightweight onboard models optimized for in-orbit inference.\nYou’ll play a central role in scaling SATLANTIS’s AI capabilities across missions, shaping the future of next-generation missions from space.\nYour main responsibilities will include:\nBuilding 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.\nDesigning scalable workflows, automating data ingest, tiling, and inference on both on-prem and cloud environments (Docker/K8s).\nApplying AI/ML to a wide variety of technical challenges across the company, from engineering to operations.\nCollaborating with Image Processing, Flight Software, and Systems Engineering teams for end-to-end product delivery.\nSharing knowledge through code reviews, workshops, and SATLANTIS School sessions for interns.\nDriving AI adoption across the company: identifying internal use cases, prototyping AI-powered tools and automations to boost productivity across teams\nWhat will set you up for success?\nYou hold a BSc/MSc in Software Engineering, Computer Science or similar fields.\nYou have experience designing and deploying ML models in production or scientific workflows.\nYou are proficient in Deep Learning frameworks.\nYou have a strong understanding of model evaluation, generalization, and uncertainty estimation.\nYou are curious about and have hands-on experience with modern AI tools (coding assistants, agentic workflows) and how to apply them.\nYou have an English level of at least B2, allowing you to contribute to international projects including ESA and NASA.\nYou’ll stand out even more if you bring:\nSkills in C & C++ programming and GNU/Linux OS.\nHands-on expertise with CUDA/C++ for servers and embedded GPUs.\nExperience with imaging algorithms and spatiotemporal models.\nKnowledge of satellite EO data formats (GeoTIFF, NetCDF).\nYou are familiar with geospatial libraries: Rasterio, Xarray, GDAL, etc.\nKnowledge of radiometry, photogrammetry, or OGC APIs & STAC metadata.\nYou feel comfortable working with CI/CD tools.\nContribution to open-source ML or EO projects\nReady to launch your AI career into orbit?\nIf you’re passionate about AI, space missions, and turning data into actionable insights for Earth observation, this is your opportunity.\nApply now and join SATLANTIS in shaping the future of space 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