Sobre esta vaga de Sr. Software Development Engineer - Indoors GIS AI and Reality na Esri
Overview
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. You will lead the development of advanced Indoor GIS capabilities that combine AI, computer vision, 3D reality capture, and spatial data to automate indoor mapping workflows and create innovative geospatial products from floor plans, 3D scans, and 360° imagery.
As a senior engineer, you will own complex features end-to-end, drive technical direction, mentor developers, and work across teams to turn emerging AI technologies into production-ready solutions. If you enjoy solving challenging problems and working with technologies like Large Language Models, computer vision, 3D graphics, and geospatial systems, this role offers the opportunity to make a significant impact on the future of Indoor GIS.
Indoor GIS supports mission-critical operations for public safety agencies, helping police, fire, and emergency responders quickly understand complex buildings during emergency incidents. It also enables organizations such as airports, hospitals, campuses, and enterprises to optimize space utilization, manage occupants and visitors, and improve indoor navigation and wayfinding experiences.
Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position.
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
Recommended Qualifications
- 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
#LI-JJ2
#LI-ONSITE
Total Rewards
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.
The Company
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 life’s 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 Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
