Job Description
This role involves developing high-performance geospatial analysis components within the ArcGIS ecosystem using Rust and Python, focusing on optimizing data processing and creating scalable, efficient libraries for geospatial tasks.
Key Responsibilities
- Design and develop high-performance components for the ArcGIS API for Python using Rust and PyO3
- Optimize existing Python code by implementing performance-critical sections in Rust
- Create and maintain robust, well-documented Rust libraries that interface with Python
- Develop and implement efficient algorithms for geospatial data processing and analysis
- Write comprehensive unit and integration tests to ensure code quality and reliability
- Collaborate with the Python API development team to integrate Rust components into the overall system
- Profile and optimize code for performance, identifying and resolving bottlenecks
Requirements
- At least 1 year of experience in Rust programming, including familiarity with the Rust ecosystem.
- Experience with PyO3 for creating Python bindings for Rust code.
- Strong understanding of Python and its interaction with native extensions.
- Experience in performance profiling and optimization of both Rust and Python code.
- Understanding of data structures and algorithms, particularly in the context of geospatial data.
- Familiarity with test-driven development and continuous integration.
- Ability to work effectively in a collaborative, fast-paced environment.
- Bachelor’s degree in computer science, mathematics, or a related field.
Benefits & Perks
industry-leading health and welfare benefits including medical, dental, and vision insurance
basic and supplemental life insurance for employees and their families
401(k) and profit-sharing programs
minimum of 80 hours of vacation leave
twelve paid holidays throughout the calendar year
opportunities for personal and professional growth
Ready to Apply?
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