C++ Software Developer II - Raster Analysis

About the role

The ArcGIS Spatial Analyst team develops advanced raster analysis capabilities used by organizations worldwide to understand patterns, solve spatial problems, and make better decisions. We are a team of engineers who are passionate about turning complex challenges into scalable, high-performance solutions. As a C++ Software Developer, you will contribute to the design and development of next-generation raster analytics that power ArcGIS across desktop and cloud environments. Join us in advancing the ArcGIS platform by delivering high-performance, scalable capabilities using modern GPU and cloud computing technologies.

Responsibilities

• Transform cutting-edge research and advanced concepts into high-performance, scalable analytical tools across key GIS domains, including:
  • Spatial modeling and suitability analysis
  • Terrain and surface analysis (such as intervisibility, geomorphometric)
  • Pattern and density analysis
  • Statistical analysis
  • Hydrologic analysis
  • Multidimensional scientific data modeling and analysis
• Partner with a collaborative team to conceptualize, design, and deliver innovative GIS solutions that address complex real-world challenges
• Architect and implement robust software components using industry-standard design principles and best practices
• Proactively identify, analyze, and resolve software defects and performance bottlenecks through automated testing and optimization

Requirements

• 2+ years of demonstrated experience in C++ software development
• Strong understanding of algorithms, data structures, and design patterns
• Excellent problem-solving, design, development, and debugging skills
• Familiarity with distributed systems, parallel processing, and GPU-accelerated computing
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related STEM field

Qualifications

• Experience with C# and WPF application development
• Knowledge of Agile development methodologies and test-driven development (TDD) practices
• Experience with GIS, raster analysis, and spatial analysis concepts
• Strong foundation in mathematics and science, with experience in scientific computing for raster analysis
• Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related STEM field