Overview
Join our team and help build the future of geospatial analysis within the ArcGIS ecosystem. We're seeking a skilled Rust developer passionate about bridging the gap between high-performance systems programming and the flexibility of Python. In this role, you will be instrumental in developing and optimizing critical components of the ArcGIS API for Python, leveraging Rust and PyO3 to deliver exceptional performance and scalability. You'll be responsible for building robust, efficient extensions that enable ArcGIS users to tackle complex geospatial tasks with unprecedented speed.
As part of our team, you'll work on the cutting edge of geospatial technology, utilizing Rust's safety and performance to create powerful, Python-accessible libraries. We embrace modern development practices, including test-driven development, continuous integration, and a strong focus on code quality.
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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 seamlessly 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
- 2+ years 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
Recommended Qualifications
- Experience with geospatial data formats and libraries (such as GeoJSON, GDAL) and familiarity with the ArcGIS platform and APIs
- Experience with Python extension mechanisms (such as Cython) and programming languages such as C/C++
#LI-TA1
#LI-Hybrid
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$97,344 - $162,240 USD
About Esri
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
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Requisition ID: 2025-2216