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Shapely Jobs in California (NOW HIRING)

Pronto

Robotics Planning Engineer

San Francisco, CA · On-site

$119K - $161K/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 ...

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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.

What are popular job titles related to Shapely jobs in California? For Shapely jobs in California, the most frequently searched job titles are:
What job categories do people searching Shapely jobs in California look for? The top searched job categories for Shapely jobs in California are:
What cities in California are hiring for Shapely jobs? Cities in California with the most Shapely job openings:
Shapely jobs near you
Infographic showing various Shapely job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Robotics Planning Engineer

ATOMS Careers page

San Francisco, CA • On-site

$176K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago

Job description

Who we are
Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field.
We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world's first profitable AV technology company.
What you'll do
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.
  • 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.
  • 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

What we're looking for
  • BS/MS/PhD in Robotics, Computer Science, or related field required
  • 7+ 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

Why join us
  • Work on real, production-deployed autonomy.
  • Build technology that directly improves safety, efficiency, and productivity.
  • Tackle complex challenges in demanding, real-world environments.
  • Be part of a fast-moving team with high ownership and impact.
  • See your work deployed and making a difference in the field.
  • Collaborate closely with experienced engineers and industry operators.

What else you need to know
This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week.
The base salary range for this role is $176,000 - $240,000 per year.
Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.
Benefits Summary (USA Full-Time Exempt Employees):
  • Medical, Dental, Vision, Disability, and Life Insurance
  • Flexible Spending Account / Health Savings Account Options
  • 401(k)
  • Equity
  • Sick Time, Unlimited Flexible Time Off, and Paid Holidays
  • Paid Parental Leave
  • Pre-Tax Commuter Benefit Plan
  • Team lunch in our SoMa office every Tuesday and Thursday

Benefits are subject to change at the company's discretion.
Pronto accepts applications on an ongoing basis.
Ready to join us as we serve those who serve others?
#LI-Onsite

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