Esri’s global geocoding solutions support key challenges such as locating addresses and places on a map, discovering what’s at a known location or adding location information to large tables of records. Bring your passion for Software Development to help us develop a global search and geocoding capability, both of which are cornerstones of Esri software products.

You’ll work alongside product engineers, other developers, and users to create location-based APIs, geocoding services, and enhancements to Esri software in the mobile, desktop, server, and online environments.

This is a great opportunity to design and develop next-gen Esri technology. We love making a difference and leading the way in developing innovative technology.

Since this position is located in Redlands, CA, we will offer relocation assistance if needed.

• Architect Cloud-based systems working as a C++ programmer, writing scalable, reusable, and maintainable code
• Optimize existing and new C++ code to reduce memory consumption and to increase performance and scalability
• Integrate Natural Language Processing (NLP) and Machine Learning (ML) frameworks and technologies to optimize geocoding workflows
• Work closely with other programmers and product engineers on interoperability issues

• 5+ years of related software development experience
• Strong development skills in C++ (C++11 and higher, STL, Boost, Clang, MSVC), and/or Rust Programming Language
• Experience with Natural Language Processing (NLP) concepts and techniques
• Proficiency with Python, data manipulation, and machine learning
• Experience with container orchestration technology, such as Kubernetes
• In-depth knowledge in AWS and/or Azure Cloud Service platforms
• Understanding of algorithms and design patterns
• Excellent written and verbal communication skills
• Effective time management and organizational skills
• Bachelor’s in computer science, engineering, mathematics, GIS, or related field

• Master's in computer science, or another machine learning-related field
• Experience with LLM prompt engineering and fine tuning for specific tasks
• Knowledge of deep learning frameworks such as TensorFlow, Keras, or PyTorch
• Knowledge of GenAI frameworks such as LangChain, LlamaIndex, HuggingFace, or similar

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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 askcareers@esri.com 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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