ResponsibilitiesResearch, prototype, and develop AI-powered features across a diverse problem space, including:
- Develop software components and tools for indoor feature extraction, Gaussian Splatting, PDF floor plan extraction, indoor reality workflows, and AI-assisted validation
- Prototype and integrate algorithms for image/video analysis, geometric calculations and transformations, model evaluation, semantic search, and visual positioning under guidance from senior engineers
- Write clean C++, .NET/C#, and Python code to process spatial data, imagery, video frames, floor plan geometry, and user-reviewed AI/ML outputs
- Contribute to experiments with LLMs, computer vision models, embeddings/vector search, and AI coding workflows, documenting results and limitations clearly
- Collaborate with cross-functional engineering and product teams across Esri
- Participate in code reviews and software quality processes
- Learn and apply GIS concepts, floor-aware mapping patterns, ArcGIS data models, and indoor facility workflows to ensure features solve real user problems
- Present prototypes, demos, and findings to the team and incorporate feedback into iterative development
- Participate as an individual contributor to a Scrum software development team
Requirements- 2+ years of professional software development experience
- Proficiency in Python and working knowledge of C++ or .NET/C#; willingness to deepen expertise in all three as required by product work
- Experience prototyping or integrating AI/ML technologies into real software
- Strong understanding of software algorithms and data structures
- Familiarity with image analysis, computer vision, or 3D/graphics programming
- Experience working with APIs and services
- Strong analytical, problem-solving, and communication skills
- Experience or exposure using AI to assist in code development (Copilot or spec driven development with an LLM like Claude, Codex, or similar)
- Bachelor's degree in Computer Science, Software Engineering, or a related STEM field
Recommended Qualifications- Experience with OpenCV, ONNX, image/video feature extraction, object detection, segmentation, or model evaluation
- Exposure to Gaussian splats, 3D mesh processing, graphics programming, game engines, WebGL/OpenGL/DirectX, or reality capture workflows
- Familiarity with GIS concepts, ArcGIS, CAD/BIM/Revit, LiDAR, 360 imagery, indoor positioning, or indoor mapping workflows
- Experience with semantic search, embeddings, vector databases, RAG, LLM APIs, Claude/ChatGPT/Gemini/Llama, or AI-assisted coding tools such as GitHub Copilot/Copilot Chat
- Experience creating clear technical specs, unit tests, benchmark scripts, data analysis notebooks, or prototype documentation
- Master's degree or advanced coursework in Computer Science, AI/ML, Computer Vision, Graphics, Robotics, GIS Science, or a related STEM field
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Total RewardsEsri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$101,192-$167,336 USD
