ZipRecruiter

Log In

1

Urgently Hiring Python Gis Developer Jobs in Oregon

Nvidia

OR · On-site

$121K - $163K/yr

This developer will be a crucial member of a team that is working to unlock the power of ... hiring and promotion practices) on the basis of race, religion, color, national origin, gender ...

AspenTech

OR · On-site

GIS maintenance, administration, and data entry experience * Database and data structure knowledge and experience (SQL, XML, Mongo, GIS) * Programming and scripting knowledge (python) This role is a ...

Alteryx

Staff Python Software Engineer

OR · On-site +1

$183K - $212K/yr

Open-source contributions or a track record of improving developer tooling. Why You'll Love Working ... Hiring, Alteryx will consider for employment qualified applicants with arrest and conviction ...

AZAD Technology Partners

Geographer

Portland, OR · Hybrid

$45 - $53/hr

Join AZAD Technology Partners as a Geographer and provide advanced, professional GIS (Geographic ... Working knowledge of Python or similar scripting language. Working knowledge of (HTML) and ...

Azad, Inc

Geographer

Portland, OR · On-site

$45 - $53/hr

Join AZAD Technology Partners as a Geographer and provide advanced, professional GIS (Geographic ... Working knowledge of Python or similar scripting language. Working knowledge of (HTML) and ...

AspenTech

OR · On-site

Programming and scripting experience (C/python) * Database and data structure knowledge and experience (SQL, XML, Mongo, GIS) * Strong experience troubleshooting complex systems and software ...

next page

Showing results 1-20

All JobsUrgently Hiring Python Gis Developer JobsUrgently Hiring Python Gis Developer Jobs in Oregon

Urgently Hiring Python Gis Developer information

What is the difference between Urgently Hiring Python Gis Developer vs Python GIS Analyst?

AspectUrgently Hiring Python GIS DeveloperPython GIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related field; experience with Python and GIS toolsBachelor's in GIS, Geography, or related; proficiency in Python and GIS analysis
Work EnvironmentDevelopment-focused, software projects, coding, and programmingData analysis, mapping, spatial data interpretation, reporting
Employer & Industry UsageTech companies, GIS service providers, government agenciesUrban planning, environmental agencies, research institutions
Search & Comparison IntentLooking for urgent Python GIS development rolesSeeking GIS analysis roles involving Python

The main difference is that a Python GIS Developer focuses on creating and maintaining GIS software solutions using Python, while a Python GIS Analyst primarily interprets spatial data and generates reports. Both roles require similar skills and credentials but differ in their core responsibilities and work environment.

What are some typical challenges faced by Python GIS Developers when integrating geospatial data from multiple sources?

Python GIS Developers often encounter challenges when merging geospatial data due to differences in formats, coordinate reference systems, and data quality. Handling large datasets efficiently and ensuring compatibility between various GIS libraries (such as GDAL, GeoPandas, or Shapely) can also be demanding. Effective communication with data providers and team members is crucial for resolving discrepancies and implementing best practices in data validation. Developing robust automation scripts and staying updated on the latest tools can help streamline these integration tasks.

What are the key skills and qualifications needed to thrive as a Python GIS Developer, and why are they important?

To thrive as a Python GIS Developer, you need strong proficiency in Python programming, geospatial data analysis, and a solid understanding of GIS concepts, typically supported by a degree in computer science, geography, or a related field. Familiarity with technical tools such as ArcGIS, QGIS, PostGIS, and libraries like GeoPandas and Shapely, as well as experience with REST APIs and spatial databases, is essential. Problem-solving skills, attention to detail, and effective communication are standout soft skills in this role. These skills and qualifications are critical for efficiently developing, maintaining, and optimizing geospatial solutions that meet organizational needs.

What does a Python GIS Developer do?

A Python GIS Developer specializes in creating, maintaining, and improving Geographic Information Systems (GIS) using the Python programming language. They work with spatial data, develop scripts or applications for data analysis, and often integrate GIS data with other systems. These developers may use libraries such as GeoPandas, Shapely, and GDAL to process geographic data, visualize maps, and automate workflows. Their work supports industries like urban planning, environmental science, transportation, and more.
What are the most commonly searched types of Python Gis Developer jobs in Oregon? The most popular types of Python Gis Developer jobs in Oregon are:
What cities in Oregon are hiring for Urgently Hiring Python Gis Developer jobs? Cities in Oregon with the most Urgently Hiring Python Gis Developer job openings:
Urgently Hiring Python Gis Developer jobs near you
Senior Software Engineer - Python Numerical Computing Libraries

Senior Software Engineer - Python Numerical Computing Libraries

Nvidia

OR • On-site

$121K - $163K/yr

Full-time

Posted 11 days ago

Job description

We are looking for an experienced software professional to contribute to design and development of accelerated and distributed implementations of Python APIs for numerical computing. In the last decade, Python has become the de-facto programming language for practitioners in AI, data science and HPC, through popular frameworks such as NumPy, SciPy, TensorFlow and PyTorch. These frameworks provide an efficient high-level programming interface, allowing their users to focus on their application while providing highly optimized implementations. NVIDIA has been at the forefront of providing GPU-accelerated implementations of the fundamental components of these frameworks.

Join our dynamic team to help develop and optimize GPU-accelerated and distributed implementations of Python numerical libraries, supporting Python-based frameworks in various ecosystems. This developer will be a crucial member of a team that is working to unlock the power of distributed GPU computing for domains such as scientific computing, data analytics, deep learning, and professional graphics, running on hardware ranging from supercomputers to the cloud!

What you will be doing:

  • Work closely with product management and internal or external partners, to understand use cases and requirements, and contribute to the technical roadmaps of libraries

  • Architect, prioritize, and develop accelerated and distributed implementations of numerical algorithms

  • Design future-proof Python APIs for accelerated numerical/scientific computing libraries

  • Analyze and improve the performance of developed APIs on various CPU and GPU architectures, especially as a part of customer-critical end-to-end workflows

  • Prototype integrations of developed APIs into targeted frameworks

  • Write effective, maintainable, and well-tested code for production use

  • Contribute to the development of runtime systems that underlay the foundation of multi-GPU computing at NVIDIA

What we need to see:

  • BS, MS or PhD degree in Computer Science, Applied Math, Electrical Engineering or related field (or equivalent experience)

  • 6+ years of relevant industry experience or equivalent academic experience after BS

  • Excellent Python, C++ and CUDA programming skills

  • Strong understanding of fundamental numerical methods, dense and sparse array computing

  • Deep familiarity with Python numerical computing libraries (e.g. NumPy, SciPy), including accelerated implementations (e.g. CuPy, Jax.NumPy, NumS, cuNumeric)

  • Experience developing and publishing Python libraries, following standard methodologies for pythonic API design

  • Strong background with parallel programming and performance analysis

Ways to stand out from the crowd:

  • Experience using/contributing to Python libraries for data science (e.g. Pandas), machine learning (e.g. scikit-learn) and deep learning (e.g. TensorFlow, PyTorch)

  • Experience with low-level GPU performance optimization

  • Experience building, debugging, profiling and optimizing distributed applications, on supercomputers or the cloud

  • Background with tasking or asynchronous runtimes

  • Background on compiler optimization techniques, and domain-specific language design

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply