Search the 5 jobs at Esri

Develop geospatial AI tools, models, and libraries. Collaborate with data scientists and engineers on product development, testing, and documentation. Troubleshoot customer issues and create tutorials. Develop pre-trained geospatial AI models for various datasets.

Develop deep learning models for computer vision tasks on geospatial imagery using Python and PyTorch. Integrate ArcGIS with deep learning libraries and develop APIs and tools for geospatial AI. Curate and preprocess data for deep learning models and perform comparative studies of model architectures.

Develop server-side Java components and web services for geospatial workflows, design and develop cloud-native solutions, integrate technologies like Apache Spark and Kubernetes, analyze and fix bugs, collaborate with teams to incorporate requirements.

Software Reliability Engineers at Esri are responsible for ensuring the reliability, availability, and disaster recovery features of ArcGIS Enterprise. They gather user requirements, lead cross-team efforts, conduct software testing, and communicate with users through documentation and presentations.

Join Esri's team as a Product Engineer II - Cloud Storage to design, build, and deliver the next generation cloud native architecture of ArcGIS Enterprise using microservices. Collaborate with cross-functional teams to develop new capabilities for cloud environments and contribute to the software development process.