Job Description
A Product Engineer at Esri develops, tests, and validates geospatial AI tools, models, and libraries, ensuring their quality and usability while collaborating with data scientists and engineers to deliver reliable geospatial software solutions.
Key Responsibilities
- Develop and implement test plans, test cases, and write test code to verify software, SDKs, and AI models.
- Review and analyze test results, report on software quality and stability, and certify product components.
- Troubleshoot and triage customer issues, analyze user feedback for improvements.
- Collaborate with data scientists and engineers on testing, documentation, and release of geospatial AI tools and models.
- Create tutorials, documentation, samples, and presentations to demonstrate product features.
- Develop pre-trained geospatial AI models for imagery, 3D datasets, and text.
Requirements
- Minimum of 1 year 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 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 degree in GIS, geography, engineering, computer science, math, or related fields.
- Existing work authorization for India.
Benefits & Perks
Work environment perks (implied by the company's emphasis on diversity and inclusion)
Opportunities for professional development through tutorials, documentation, and presentations
Potential for remote sensing, satellite imagery, and multispectral image analysis experience
Participation in an innovative, AI-focused work environment
Ready to Apply?
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