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Shapely Jobs (NOW HIRING)

System Soft Technologies

Geocode Engineer

Python (h3, shapely, geopandas, pyproj) * Understanding of hierarchical spatial indexing * Strong geospatial fundamentals (CRS, projections, distortion) * Experience with spatial SQL - PostgreSQL or ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA · On-site

Expert level understanding of Python, including geospatial libraries like Fiona and Shapely. * Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...

Gormat

Data Scientist 4

Annapolis Junction, MD · On-site

Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus ...

Pronto

Robotics Planning Engineer

San Francisco, CA

$182K - $230K/yr

Knowledge of GEOS, Shapely or other computational geometry libraries * Experience with fleet management or dispatch systems * Familiarity with Redis, ZeroMQ, or similar infrastructure * Familiarity ...

Gormat

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/yr

Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus ...

iNovex Information Systems

Data Scientist 4

Annapolis, MD · On-site

$211K - $266K/yr

Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA · On-site

Expert level understanding of Python, including geospatial libraries like Fiona and Shapely. * Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...

Gormat

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/yr

Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus ...

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Shapely information

What are some common challenges faced by software engineers working on the Shapely library, and how can job seekers prepare for them?

Software engineers contributing to the Shapely library often encounter challenges related to geometric algorithms, spatial data precision, and cross-platform compatibility. Debugging complex geometry issues and ensuring robust handling of edge cases require a solid understanding of computational geometry and Python development. Collaboration with GIS professionals and open-source contributors is also a key part of the role, so strong communication skills and experience with open-source workflows are valuable. Familiarity with related libraries like GEOS and understanding spatial data formats can help job seekers excel.

What are Shapely jobs?

Shapely jobs typically refer to roles that involve working with the Shapely library, a popular Python package used for manipulation and analysis of planar geometric objects. Professionals in these positions often use Shapely for tasks in geographic information systems (GIS), spatial data analysis, and mapping. Job responsibilities may include developing geospatial applications, processing and analyzing spatial data, and integrating Shapely with other Python libraries such as GeoPandas. These roles are commonly found in industries like urban planning, environmental science, and data analytics. Having strong Python skills and experience with spatial data is usually required.

What are the key skills and qualifications needed to thrive as a Shapely web developer, and why are they important?

To thrive as a Shapely web developer, you need proficiency in web development languages such as HTML, CSS, JavaScript, and familiarity with WordPress, alongside experience with responsive design principles. Knowledge of the Shapely WordPress theme, page builders, plugins, and version control systems like Git is typically required. Strong problem-solving abilities, attention to detail, and effective communication help developers efficiently address client needs and collaborate with teams. These skills ensure the development of attractive, functional, and user-friendly websites that meet client specifications.

What is the difference between Shapely vs GIS Analyst?

AspectShapelyGIS Analyst
Required CredentialsBasic programming knowledge, Python skillsBachelor's degree in Geography, GIS, or related field
Work EnvironmentProgramming, data analysis, scriptingMapping, spatial data analysis, report creation
Industry UsageUsed in GIS software development and data processingApplied in urban planning, environmental management, and more
Common Search IntentData manipulation, spatial analysis in PythonGIS data analysis, mapping projects

Shapely is a Python library for geometric operations and spatial data manipulation, often used by developers and data analysts. GIS Analysts perform broader spatial data analysis, mapping, and reporting within GIS software. While Shapely focuses on geometric calculations, GIS Analysts handle comprehensive spatial projects. Both roles overlap in spatial data handling but differ in scope and tools used.

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What states have the most Shapely jobs? States with the most job openings for Shapely jobs include:
What job categories do people searching Shapely jobs look for? The top searched job categories for Shapely jobs are:
Shapely jobs near you

Robotics Planning Engineer

Pronto.ai, Inc.

San Francisco, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About Pronto
While most Autonomous Vehicle (AV) technology companies are stuck in R&D mode, Pronto is a world-leader in commercializing AV tech via our Autonomous Haulage System, which is automating haulage operations at mines and quarries around the world. Pronto's team of Silicon Valley veterans has been at the forefront of every major AV development over the past 20 years, with a relentless focus on commercializing the technology, leading to our current specialization in off-road applications. This focus and our decades of experience have put Pronto on a track to become the world's first profitable AV technology company.
Our first product is an Autonomous Haulage System (AHS) that enables mines, quarries, and construction sites to deploy autonomous vehicles inside their existing operations to improve site safety and add efficiency gains.
About the Role
We're looking for a Robotics Planning Engineer to develop the high-level autonomy systems that coordinate fleets of autonomous haul trucks in mining environments. You'll work on path planning, multi-vehicle coordination, and dispatch systems that operate at the site level - deciding where trucks go, when they go, and how they interact with each other.
What You'll Build
  • Motion planning - A robust stack, from path planning to trajectory optimization, to generate smooth and safe trajectories for 200+ ton trucks to follow.
  • Coordination planning - Systems to simultaneously coordinate the motion of multiple vehicles with intersecting trajectories to avoid collision and maximize throughput.
  • Fleet planning - Algorithms that dynamically translate the site-wide state, like loading and dumping locations, to actively managed assignments for each truck.

Responsibilities
  • Design and implement motion planning algorithms for non-holonomic vehicles
  • Develop multi-agent coordination systems that prevent deadlocks and collisions
  • Build simulation and visualization tools for validating planning algorithms
  • Optimize planning algorithms for real-time performance in production environments
  • Collaborate with controls engineers to ensure planned paths are executable
  • Debug fleet-level issues using logged data and replay tools
  • Travel note: This role requires periodic travel to customer sites (up to 5%)
  • Schedule note: Some schedule flexibility may be required during deployments

Required Qualifications
  • BS/MS/PhD in Robotics, Computer Science, or related field
  • 2+ years of professional (non-internship) software development experience
  • Strong foundation in motion planning algorithms
  • Experience with computational geometry (collision detection, polygon operations)
  • Proficiency in Python and NumPy for numerical computing
  • Understanding of vehicle kinematics and nonholonomic constraints
  • Ability to analyze algorithm complexity and optimize for real-time performance

Preferred Qualifications
  • Experience with multi-agent coordination or scheduling algorithms
  • Familiarity with Dubins/Reeds-Shepp curves for non-holonomic planning
  • Background in trajectory optimization (DCBF, MPC-based planners)
  • Experience with graph algorithms (Dijkstra, heuristic search)
  • Knowledge of GEOS, Shapely or other computational geometry libraries
  • Experience with fleet management or dispatch systems
  • Familiarity with Redis, ZeroMQ, or similar infrastructure
  • Familiarity with modern ML techniques for planning problems

Technical Environment
  • Languages: Python (primary), C++ (performance-critical modules)
  • Libraries: NumPy, Shapely, Numba, SciPy
  • Testing: Simulation replay, config-driven scenario testing

Example Projects
  • Design an intersection management system that computes optimal truck sequencing to minimize total wait time while preventing collisions
  • Build a dispatch algorithm that assigns trucks to dump locations balancing load distribution and travel distance
  • Develop zone-based path constraints that automatically route trucks around dynamic obstacles like active loading areas
  • Create a trajectory smoother that converts piecewise-linear A* output into curvature-continuous paths suitable for MPC tracking

Pronto is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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