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.

Responsibilities

• 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

Requirements

• 5+ years in software development with focus on AI/ML and computer vision
• Strong programming skills using Python and experience with ML frameworks (PyTorch, TensorFlow, 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

Recommended Qualifications

• 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, DirectX)
• Familiarity with LLMs, generative AI, and advanced ML techniques

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