Join our Indoor GIS team as a Senior Software Developer and help shape the future of how people understand, navigate, and interact with the built environment.
Key Responsibilities
Prototype, architect, and implement production-quality components for AI-assisted indoor mapping, feature extraction, indoor reality visualization, and geospatial data creation workflows
Lead technical exploration of Gaussian splats, 3D mesh-derived level generation, visual positioning, semantic search, and reality capture integration patterns for Indoor GIS
Partner with product engineers and managers, UX designers, and development teams to define feasible milestones when the boundary between research, product development, and platform integration is still uncertain
Design and develop robust C++, C# and Python components that handle spatial data, imagery, video frames, geometry processing, model evaluation, and quality-review workflows
Evaluate and integrate LLMs, multimodal models, embedding/vector search, and computer vision models where they can improve automation, validation, and user experience
Create technical specifications, test strategies, benchmark plans, and implementation guidance suitable for AI-assisted coding and spec-driven development workflows
Mentor engineers, review designs and code, and help establish engineering standards for maintainable AI/ML, computer vision, and 3D software within Indoor GIS products
Communicate technical findings and tradeoffs clearly to engineering leadership and stakeholders, including risks, dependencies, data requirements, performance implications, and integration options
Champion spec-driven and AI-assisted development practices across the team
Lead code reviews and uphold software quality standards
Communicate technical findings, tradeoffs, and progress to both engineering and product audiences
Requirements
5+ years of professional software development experience, with a track record of owning and shipping complex software features
Proficiency in two or more of: C++, C#/.NET, Python—with depth in at least one
Demonstrated experience integrating or building with AI/ML technologies in production or near-production contexts
Strong command of software architecture, algorithms, and data structures
Experience with image analysis, computer vision, or 3D/graphics programming
Ability to work independently across ambiguous problem spaces and make sound technical judgments
Strong communication skills. Able to explain technical tradeoffs to both engineers and non-technical stakeholders
Experience mentoring or technically guiding other engineers
Experience in AI-driven software development, with AI generating code using Microsoft Copilot, Claude Code, or a similar LLM framework
Bachelor’s degree in Computer Science, Software Engineering, or a related STEM field
Experience with ArcGIS, floor-aware maps, indoor positioning, CAD/BIM/Revit, LiDAR, 360 imagery, or reality capture workflows
Experience with Gaussian splats, mesh processing, scene layers, WebGL/DirectX/OpenGL, game engines, or 3D visualization pipelines
Experience building RAG systems, semantic search, vector databases, MCP/tool integrations, or agentic workflows for developer or analyst productivity
Experience shipping AI-assisted workflows that include user review, confidence scoring, bulk validation, human-in-the-loop correction, and repeatable QA metrics
Experience with OpenCV, ONNX, CUDA/GPU acceleration, model benchmarking, or productionizing research code
Master’s degree or higher in Computer Science with specialization in Computer Vision, AI/ML, Graphics, Robotics, or a related STEM field
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Benefits & Perks
Esri’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.