Sr. Computer Vision Software Development Engineer

ridging 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, and more) 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

#LI-DR5

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

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 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 [email protected] 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.

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