About The Position

Overview The ArcGIS Spatial Analyst team creates raster analysis tools for the worldwide GIS community. These tools help solve spatial analytical problems, address real-world issues, and enable our users to make better decisions. We are a team of passionate engineers who can break down complex problems into manageable solutions. As a C++ Software Developer, you will help us design and build cutting-edge raster analysis tools for Esri's desktop, ArcGIS Online, and ArcGIS Enterprise products. Come join our team to help advance these powerful ArcGIS capabilities through leveraging cloud computing.

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
  • Bachelor's degree in applied mathematics/statistics, physics, engineering, computer science, or geography

Nice To Haves

  • C#/WPF experience
  • Familiarity with agile software development process
  • Experience with GIS, raster analysis, and spatial analyst concepts (For example: What’s a raster or an image? What’s weighted distance analysis?)
  • Formal training or on-the-job exposure to applied GIS (For example: environmental science, civil engineering, or local government)
  • Master’s degree or Ph.D. in applied mathematics/statistics, physics, engineering, computer science, or geography

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
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