Sr. Software Development Engineer – GIS Computer Vision

Overview

Esri’s Professional Services is seeking a highly skilled Sr. Software Development Engineer 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 360-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.

• Develop and integrate computer vision and AI/ML models (YOLO, SAM, DINO, etc.) for object extraction and change detection
• Build scalable software solutions for imagery, video, LiDAR, and 3D geospatial data
• Optimize and deploy ML models in Python, C#, and C++ for production environments
• Evaluate emerging AI/ML frameworks, including large language models
• Contribute to system architecture, performance optimization, and code quality
• Collaborate with researchers, engineers, and product teams in an Agile environment

• 5+ years in software development with focus on AI/ML and computer vision
• Strong programming skills using Python and experience with ML frameworks (PyTorch, Tensor Flow, Scikit‑learn, Keras)
• Proficiency in computer vision tasks (detection, segmentation, feature extraction, model training)
• Experience with C++ and exposure to C#
• Strong problem‑solving, research, and collaboration skills
• Bachelor’s degree in Computer Science, Software Engineering or STEM related field

• Master’s degree in Computer Science, Software Engineering or STEM related field
• Proficiency in C++ and GPU programming (CUDA)
• Experience with geospatial/GIS data and 3D point cloud processing
• Experience with OpenCV and other computer vision frameworks
• Knowledge of graphics frameworks (OpenGL, Direct
  
  X)
• Familiarity with LLMs, generative AI, and advanced ML techniques

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.

A reasonable estimate of the base salary range is

$118,976-$197,600 USD

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…