Software Development Engineer II Computer Vision

Overview

Esris Professional Services is seeking a highly skilled Software Development Engineer II to join our team building advanced GIS software 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

• 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 360-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

• 2 years of professional software development experience with a focus on AI/ML and/or computer vision
• Experience with modern CV models such as YOLO SAM DINO or equivalent frameworks
• Strong programming skills in Python with experience using ML frameworks such as Scikit-learn TensorFlow PyTorch or Keras
• Strong problem-solving and research skills; ability to quickly learn and adapt emerging technologies
• Proficiency in Python; experience with C# exposure to C
• 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
• Experience in graphics programming (such as Gaming GIS or similar)
• Demonstrated ability to self-direct with an eagerness to learn and grow
• Bachelors degree in Computer Science Software Engineering or STEM related field

Recommended Qualifications

• Masters degree in Computer Science Software Engineering or STEM related field
• Proficiency in C for performance-critical applications
• Experience working with geospatial data or GIS or mapping platforms
• Familiarity with 3D data processing (LiDAR point clouds)
• Knowledge of best practices in software design testing and version control
• Passion for applying AI/ML to real-world spatial problems
• Experience with natural language processing (LLMs) and generative models
• Familiarity with GPU programming (CUDA OpenCL) and performance optimization
• Knowledge of 3D graphics frameworks (OpenGL DirectX etc.)
• Understanding of algorithms data structures and design patterns

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