Esri's ArcGIS Spatial Analyst team needs to design and build cutting-edge raster analysis tools for their desktop, ArcGIS Online, and ArcGIS Enterprise products, leveraging cloud computing to solve spatial analytical problems and address real-world issues.
Requirements
- 2+ years of C++ experience
- Knowledge of distributed, parallel, GPU accelerated computation
- Familiarity with SaaS architecture
- Understanding of interaction between desktop and server/online (cloud based) analysis (For example: What’s REST? What’s a web service? What’s Kubernetes?)
- Understanding of machine learning as a tool for prediction and classification as required by various application areas
- C/WPF experience
- Experience with GIS, raster analysis, and spatial analyst concepts (For example: What’s a raster or an image? What’s weighted distance analysis?)
Responsibilities
- Write, build, test, and debug code
- Design and implement software components that follow industry-standard design patterns
- Find, analyze, and fix software bugs and performance problems using automated test frameworks
- Develop and maintain tools in GIS application areas such as: Statistical analysis, Surface analysis (terrain intervisibility, surface properties), Suitability analysis, Hydrology, Multidimensional scientific data support and analysis
- Collaborate with your team to envision and define new GIS tools based on user requirements, such as: Statistical analysis tools for local, focal, and zonal operations, Climate risk analysis (fire/flood modelling, coastal erosion, and more), Other kinds of geographic-related risk analysis (pipeline burst, large event evacuation planning, and more), Spatial analysis on networks, Multidimensional analysis, Visualization experiences for multi-dimensional data
Other
- Bachelor's in applied mathematics/statistics, physics, engineering, computer science, or geography
- Familiarity with agile software development process
- Formal training or on-the-job exposure to applied GIS (For example: environmental science, civil engineering, or local government)
- Master’s or Ph.D. in applied mathematics/statistics, physics, engineering, computer science, or geography
- LI-Hybrid
