Product Engineer - Geospatial Data Science at Esri

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Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Jupyter Notebooks, GIS Libraries, GDAL, Rasterio, ArcPy, Testing Frameworks, Pytest, GIS Concepts, Spatial Data, Geospatial Workflows, Machine Learning, Deep Learning, Technical Writing, Project Management, Time Management, Organizational Skills

Industry

Software Development

Description

Overview Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges. Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI, and geospatial deep learning. Our product engineers provide a strong technical voice in the product development process and use the best tools available to build highly reliable, sustained, and evolutionary software. As a Product Engineer, you will play a key role in ensuring the quality and usability of our geospatial AI tools, models, and libraries. You will design and implement test plans, write test code, and validate software, SDKs, and AI models to help deliver robust, high-quality products to our customers. This will also include performing, documenting, and teaching a wide variety of technical tasks, developing best practices, creating tutorials and documentation, and gathering requirements. If you are passionate about geospatial AI, have a deep understanding of the product and customer needs, and communicate effectively via writing and presentations, this is the place to be! Responsibilities Develop and implement test plans and test cases, write test code, verify code changes, bug fixes for the relevant and related products to maintain product quality Review and analyse test results; report status on software quality and stability; test and certify software, SDK, and AI model quality Troubleshoot and triage customer issues, analyse user feedback to identify areas for improvement Collaborate with data scientists and engineers on the testing, documentation and release of tools, APIs and pretrained models for geospatial AI Develop samples, tutorials, documentation, blog posts and presentation of product features Develop pre-trained geospatial AI models for imagery, 3D datasets and text Requirements 2 to 6 years of industry experience in a software development or QA environment, preferably in product-based or geospatial consulting companies Hands-on experience in QA processes, implementing test plans, developing or managing test automation, and product certification Proficiency in Python and Jupyter notebooks, GIS libraries like GDAL/Rasterio or ArcPy, and/or testing frameworks like Pytest Familiarity with GIS concepts, spatial data, and geospatial workflows Basic understanding of machine learning and deep learning workflows Effective project management, time management, and organizational skills Technical writing skills and experience authoring samples, blog posts, and product documentation Bachelor's in GIS, geography, engineering, computer science, math, or related fields Existing work authorization for India Recommended Qualifications Master's in GIS, geography, engineering, computer science, math, or related fields Strong knowledge of software QA methodologies, tools, and processes Experience working in an Agile/Scrum development process Hands-on experience with the ArcGIS suite of products or open-source GIS software Experience with remote sensing, satellite imagery, and multispectral image analysis #LI-PK1 #LI-Hybrid 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 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. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

Responsibilities

As a Product Engineer, you will ensure the quality and usability of geospatial AI tools, models, and libraries. This includes designing and implementing test plans, writing test code, and validating software to deliver high-quality products.