Software Development Engineer - 3D AI
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Role details
Tech stack
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Job description
- Design and develop state-of-the-art algorithms for large-scale 3D geospatial data, including point clouds, meshes, Gaussian splats, and 3D scene representations.
- Apply and adapt modern AI and machine learning techniques, including large language models (LLMs), to improve semantic understanding, feature extraction, automation, and data quality.
- Build intelligent workflows that combine 3D analytics, geospatial reasoning, and AI-driven agents to accelerate data processing and insight generation.
- Develop scalable processing pipelines capable of handling massive geospatial datasets in distributed and cloud-based environments.
- Collaborate with researchers, engineers, and product teams to transform innovative ideas into robust, production-ready capabilities.
- Productize and integrate advanced 3D analysis and AI technologies into the ArcGIS platform.
- Drive technical design decisions and contribute to the architecture of next-generation 3D geospatial systems.
- Integrate LLM-based reasoning with 3D geospatial processing and management workflows.
Requirements
- 5+ years of experience as C++ and/or Python software developer
- Track record of designing complex algorithms in the field of 3D computer vision and 3D AI
- Experience with data visualization, mapping, GIS
- Experience with large data and distributed processing
- Excellent problem-solving skills
- Product-oriented mindset
- Bachelorβs in computer vision, geometry processing, or AI on 3D data
- Existing work authorization for France
Recommended Qualifications
- Masterβs or PhD in computer vision, geometry processing, or AI on 3D data
About the company
Join our 3D development group in creating the worldβs best geospatial mapping and data analysis platform. Apply your passion for developing core technologies that enable the management, analysis, and understanding of 3D geospatial data through advanced AI techniques.
As a platform that serves millions of users and domains, our software needs to be modular, reusable, and well crafted. We iterate rapidly, constantly learning from feedback, metrics, and the mission and goals of our broad user community., At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their lifeβs best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esriβs Racial Equity and Social Justice initiatives, please visit our website here.
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