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Senior Software Engineer (Geospatial AI)

Senior Software Engineer (Geospatial AI)

NabatAbu Dhabi Emirate, United Arab Emirates
منذ أكثر من 30 يومًا
الوصف الوظيفي

Senior Software Engineer (Geospatial AI) – Nabat

Nabat, Abu Dhabi Emirate, United Arab Emirates

We are a climate-tech startup using advanced technology to protect and restore natural ecosystems with precision and scale. Our work intersects ecological and environmental sciences, GIS, AI, and robotics. Our mission is data-driven, science-backed ecosystem management and restoration at scale and speed to address climate change, deforestation, land erosion, and biodiversity loss. Our solutions span ecosystem management software, precision aerial seeding drones, AI and ecological models, and restoration services and are already being used to plant millions of mangroves in the UAE.

Relocation to the UAE is required with generous relocation benefits and visa sponsorship for the employee and their family.

What is the role?

We are building our product development team from the ground up and are looking for highly talented, self-driven Senior Software Engineers with proven GIS and AI experience and a passion for solving big complex problems in the nature, climate and geospatial tech space.

Your responsibilities

  • Own the end-to-end software development lifecycle for Nabat’s ecosystem management platform as a senior / staff-level individual contributor, from conception through discovery, design, proof of concept, development, launch and continuous iteration.
  • Design and implement well-architected, scalable, robust, high-performance, AI / ML-powered systems for ingestion, storage, processing, analysis, insight extraction, and visualization of large geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML, LIDAR, etc.).
  • Write, test and support production code and maintain cloud services as a full stack, backend, frontend, platform / infrastructure or data engineer – we welcome diverse specializations to round out the team.
  • Collaborate with AI engineers / data scientists and ecologists to develop, train, validate, refine and deploy AI models in production against predefined performance criteria.
  • Ideate and iterate on new and existing features , develop PoCs, prototypes, and turn them into production-ready features and services that meet real-world user needs.
  • Communicate and collaborate cross-functionally with product managers, data scientists, HW engineers, ecologists, GIS data analysts, drone pilots, operations teams, and end users to deliver initiatives.
  • Engage with researchers (Technology Innovation Institute) and external partners to understand what has been built, become the subject matter expert for your product domain, and lead the R&D roadmap.

What are we looking for?

  • Technical prowess : hands-on development experience with the modern Geospatial AI stack.
  • Geospatial data processing, analysis, and visualization tools : Python, ArcGIS, QGIS, Grass GIS, Mapbox, Leaflet, GDAL, GeoPandas, etc.
  • AI / ML model development and engineering : familiarity with ML techniques and frameworks for image analysis, object detection, semantic segmentation, prediction, anomaly detection on large geospatial datasets (RGB, multi- and hyperspectral imagery, LIDAR, satellite data).
  • Cloud platforms : AWS, GCP, or Azure for geospatial data storage and processing.
  • Data storage, query, caching and pipeline tools : GDAL, PostgreSQL, PostGIS, GeoParquet, Sedona, Kafka, BigQuery, Redis, etc. Be prepared to discuss GeoTIFF vs GeoJSON.
  • Monitoring and logging : Datadog, Kibana, Grafana, Sentry, Splunk, etc.
  • Nice to have : experience with cameras, robotics, IoT / sensor devices or other hardware.
  • Builder / entrepreneur mindset : evidenced by leading a project, startup, or notable side project.
  • Communication excellence : clear articulation and thorough documentation in a collaborative environment.
  • Bias for action and execution : prioritize shipping and iterating, with prudent risk-taking.
  • Problem-solving aptitude : creative, pragmatic solutions balancing technical constraints with user needs.
  • Nice to have : experience in geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.
  • Hiring process

  • Initial screening call with Talent team.
  • First interview with the hiring manager to discuss role and experience.
  • Second interview with technical team members (may include coding task or small case study).
  • Third interview with a senior leader for culture fit.
  • Hiring decision and conditional offer, followed by background check and relocation onboarding.
  • Seniority level : Mid-Senior level

    Employment type : Full-time

    Job function : Technology, Information and Internet

    To apply, submit your CV and tell us why you are a great fit for Nabat.

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    Senior Software Engineer • Abu Dhabi Emirate, United Arab Emirates