Overview
As modern software increasingly incorporates AI and deep learning capabilities, Esri's Imagery development team is looking for passionate engineers to help design, build, and test cutting-edge AI features in ArcGIS Enterprise and ArcGIS Online for Imagery, Remote Sensing, and Photogrammetry workflows. The evolution of our imagery software includes GeoAI models that draw insights from remote sensing data, AI assistants that boost user productivity and usability, and AI agents that enable workflow automation.
You will collaborate with software developers and product engineers to create market-leading AI features for users of ArcGIS Enterprise with Image Server and ArcGIS Online imagery capabilities. In this role, you will gather user requirements, design AI features spanning backend services to frontend user experience, create automated tests, and build demos and tutorials that help users apply modern geospatial AI models and LLMs to their imagery dissemination, visualization, and analytics workflows. This is an exciting opportunity to build new AI software solutions for the web and cloud.
Responsibilities
- Gather user and market requirements for AI and deep learning enhancements across imagery data management, visualization, and analytics workflows
- Design, develop, and automate quality and performance testing for AI-focused web applications in ArcGIS Enterprise and ArcGIS Online, such as Deep Learning Studio
- Help design, develop, and test enterprise and cloud DevOps services that support AI features for imagery
- Analyze daily test results and report quality status to the team
- Recommend and document best practices for enterprise and cloud deployment patterns that enable AI and deep learning use cases
- Become an expert in integrating ArcGIS AI features with modern cloud platforms, including Amazon AWS, Microsoft Azure, and Databricks
Requirements
- 2+ years experience in test automation development skills in Java, JavaScript, C#, or Python
- Knowledge of imagery formats and remote sensing data modalities from modern sensors such as Landsat or Sentinel-2
- Intermediate understanding of workflows for training, validating GeoAI deep learning models
- Understanding of inferencing at scale with GeoAI deep learning models
- Excellent writing and communication skills
- Eagerness and ability to learn new skills and contribute to building quality commercial software
- Bachelor's degree in computer science, geography, remote sensing, or a related field
Recommended Qualifications
- Experience in system integration or test engineering
- Hands-on experience training and deploying GeoAI models for imagery or remote sensing data
- Experience developing AI skills and agents for imagery or remote sensing workflows
- Experience solving GIS, remote sensing, or photogrammetry data analysis problems
- Experience researching or adopting foundation models such as Prithvi
- Experience with one or more cloud platforms (AWS, Microsoft Azure, Google Cloud, and more)
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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.
The Company
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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Skills Required
- 2+ years experience in test automation development skills in Java, JavaScript, C#, or Python
- Knowledge of imagery formats and remote sensing data modalities from modern sensors such as Landsat or Sentinel-2
- Intermediate understanding of workflows for training, validating GeoAI deep learning models
- Understanding of inferencing at scale with GeoAI deep learning models
- Excellent writing and communication skills
- Eagerness and ability to learn new skills and contribute to building quality commercial software
- Bachelor's degree in computer science, geography, remote sensing, or a related field
- Experience in system integration or test engineering
- Hands-on experience training and deploying GeoAI models for imagery or remote sensing data
- Experience developing AI skills and agents for imagery or remote sensing workflows
- Experience solving GIS, remote sensing, or photogrammetry data analysis problems
- Experience researching or adopting foundation models such as Prithvi
- Experience with one or more cloud platforms (AWS, Microsoft Azure, Google Cloud, and more)
Esri Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Esri and has not been reviewed or approved by Esri.
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Healthcare Strength — Feedback suggests health coverage is a standout, with full company-paid medical, dental, and vision premiums frequently cited as uncommon and valuable. Comprehensive options, including mental health support and FSAs, reinforce confidence in core healthcare benefits.
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Affordable Benefits — Feedback suggests employer-paid premiums lower out-of-pocket costs, which many view as a meaningful offset to lower cash pay in some roles. This affordability underpins satisfaction with total compensation even when salaries are seen as moderate relative to tech hubs.
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Retirement Support — Feedback suggests 401(k) matching and profit sharing are valued components that strengthen long-term financial security. These programs contribute to a perception of stability and a well-rounded total rewards package.
Esri Insights
What We Do
As a leading location intelligence platform provider (Forrester Wave 2020), Esri empowers leaders with innovative tools to help create sustainable prosperity. Esri's customers drive digital transformation by embracing the power of location. We pioneer problem solving with GIS to help you see what others can’t. We build ArcGIS, the world’s most powerful mapping & spatial analytics software. ArcGIS software and apps combine mapping and data analytics to deliver location intelligence and meet digital transformation needs for organizations of all sizes.
