Software Development Engineer II - Computer Vision

Overview

Esri's Professional Services is seeking a highly skilled Software Development Engineer II to join our team building advanced GIS software solutions. In this role, you will work on a system that leverages computer vision, machine learning, and AI to detect and extract real-world objects from -degree imagery, video, LiDAR point clouds, and oriented imagery. Your work will play a key role in creating authoritative system-of-record datasets, supporting critical infrastructure such as roadway networks for departments of transportation and public works, as well as indoor facility asset datasets for asset management and planning.

In this role, you will need a deep understanding of computer vision algorithms, geospatial data processing, and large-scale data management along with expertise in Python. You will collaborate closely with researchers and product engineers, bridging the gap between innovative research and production-ready software. Our team builds tools for geospatial data management, visualization, and analysis, empowering GIS professionals to solve complex real-world problems.

If you are passionate about geospatial technology, AI-driven data extraction, and developing scalable, high-performance solutions, this is an opportunity to work at the forefront of GIS innovation and make a meaningful impact on how organizations manage and understand their physical assets.

Responsibilities

• Research and implement computer vision and AI techniques for geospatial object extraction and change detection
• Work with state-of-the-art CV models (such as YOLO, SAM, DINO) and adapt them for GIS workflows
• Design and develop scalable software using computer vision against -degree imagery, video, LiDAR, and oriented imagery data
• Integrate and optimize Computer Vision and AI / ML models into production environments ensuring performance and accuracy
• Evaluate emerging AI / ML methods and frameworks relevant to GIS, CV, and Large Language Models
• Design, develop, and optimize research proof-of-concepts using Python
• Support the production integration of algorithms and models in C# and C++
• Ensure code quality, scalability, and maintainability through best practices and code reviews
• Contribute to system architecture and design discussions for performance-critical applications
• Collaborate with other developers and product engineers throughout the development process
• Work effectively in an Agile Scrum team environment

Requirements

Hands-on experience with Computer Vision and AI / ML, including : Feature detection, segmentation, extraction, and change detection

Model evaluation and training

Integration of models into production systems

Recommended Qualifications

#LI-DR5

#LI-Hybrid

Total Rewards

Esris competitive total rewards strategy includes industry-leading health and welfare benefits : medical, dental, vision, basic and supplemental life insurance for employees (and their families), (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$97,-$, USD

About Esri

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 lifes 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 Esris Racial Equity and Social Justice initiatives, please visit our website .

If you dont 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 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 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.

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