Imagery Product Engineer II – Drone Data Analysis

Job Opportunity: Imagery Product Engineer II – Drone Data Analysis

Overview

Join our innovative Software Products team to develop market-leading software that collects, processes, and analyzes drone and aerial imagery. Channel your enthusiasm and expertise in creating analysis products from drone data to revolutionize decision-making. Esri is seeking candidates to join our ArcGIS Reality project development team. As a Product Engineer, you will help shape user stories and work with developers to design and implement cutting-edge imagery analysis tools. Additionally, you will play a vital role in evaluating the quality of ArcGIS Reality products through daily testing and release certification. This exciting opportunity allows you to work on state-of-the-art photogrammetry software solutions for drones and aerial imagery. This position is based at Esri's headquarters in Southern California.

Key Responsibilities

• Draft, design, and create user stories, tutorials, and demos for ArcGIS Reality products
• Design, develop, and implement advanced imagery analysis tools
• Design, develop, and test machine learning algorithms
• Analyze daily test results and report quality status
• Recommend and document best practices for various workflows and use cases
• Become an expert in ArcGIS Reality and contribute to the evolution of multiple ArcGIS Reality products

Basic Qualifications

• 2+ years of experience in imagery analysis or automating feature extraction from imagery
• Basic knowledge of photogrammetry and remote sensing processes
• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Proficiency in remotely sensed imagery analysis
• Experience with GIS, remote sensing, or photogrammetry software
• Excellent writing and communication skills
• Development skills using Java, C#, or Python
• Desire and ability to learn new skills and contribute to creating quality commercial software
• Bachelor's degree in geography, computer science, remote sensing, or a related field

Preferred Qualifications

• Proficient in Python
• Hands-on experience training machine learning frameworks like TensorFlow, PyTorch, or similar
• Familiarity with drone imagery or aerial photography
• Experience with at least one ArcGIS Reality product (Drone2Map, ArcGIS Reality for ArcGIS Pro, ArcGIS Reality Studio, SiteScan for ArcGIS)
• Experience with photogrammetry and imagery processing products such as Pix4D, Agisoft PhotoScan, or DroneDeploy
• Experience with cloud systems such as Microsoft Azure or Amazon AWS

#LI-TA1 #LI-Hybrid

Compensation & Benefits

Esri offers a competitive total rewards package that 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 each calendar year, and ample opportunities for personal and professional growth. Base salary is one element of our total rewards strategy. Compensation decisions and the base range for this role take into account various factors, including skill sets, experience, and qualifications. The reasonable base salary range for this role is $72,800—$124,800 USD.

About Esri

At Esri, diversity goes beyond being just a term. It is core to how we innovate and improve as an organization. We value a workforce comprising diverse experiences, perspectives, backgrounds, and cultures to drive innovative solutions and progress. Our mission is to foster a unified workforce that drives positive global change through GIS technology. Esri is committed to continuous improvement in diversity, equity, and inclusion, ensuring every employee can contribute to their fullest potential.

We encourage you to apply even if you don’t meet all the preferred qualifications for this position!

Esri is an equal opportunity employer (EOE). 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