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Full-Time

Software Development Engineer II

Computational Geometry

Confirmed live in the last 24 hours

Mapbox

Mapbox

501-1,000 employees

Customizable mapping and location services

Data & Analytics
Enterprise Software

Mid

Remote in USA

Category
Embedded Engineering
Software Engineering
Required Skills
Python
Data Structures & Algorithms
Requirements
  • Strong in C++, Python, algorithms and performance optimization.
  • Strong in 3D Mesh / computational geometry processing techniques and being able to apply them to a wide range of problems.
  • Experience in coming up with solutions to geometric problems and developing generalized and robust algorithms.
Responsibilities
  • Work on creating world scale mesh data, using a combination of rich data sources to create superior products
  • Work on procedural geometry, generating efficient meshes from various combined data sources
  • Optimizing existing mesh content and generating various levels of detail while retaining correct meshes and meta-semantics
  • Work on optimizing delivery formats to ensure the best in class online and offline experiences in our rendering engines.
  • Work with a mix of modern C++14/17, Python and other tools of the trade, using the best practices of software engineering and tools.
  • Solve interesting computational geometry problems, algorithms, and architectural challenges.
  • Improve the project’s performance, stability, salability, maintainability and simplicity.
  • Experiment with new visualization techniques and fast graphics and geometry algorithms; and see them benefit millions of people in consumer mapping applications.

Mapbox provides customizable mapping and location services for developers, businesses, and government agencies. Its main products include software development kits (SDKs) and application programming interfaces (APIs) that allow clients to add advanced mapping, navigation, and location features to their applications. The Maps SDKs enable the integration of custom maps, while the Navigation SDKs offer turn-by-turn navigation for mobile apps. The Vision SDKs use a device's camera for real-time road scene interpretation, and additional services like Traffic Data and Mapbox Boundaries support routing and geospatial analysis. Mapbox operates on a business-to-business model, charging clients based on subscription fees and usage, which allows it to grow alongside its clients' needs. The goal of Mapbox is to empower developers and businesses to create applications with sophisticated geospatial capabilities.

Company Stage

Series D

Total Funding

$614.1M

Headquarters

Washington, District of Columbia

Founded

2011

Growth & Insights
Headcount

6 month growth

3%

1 year growth

15%

2 year growth

6%
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Simplify's Take

What believers are saying

  • Collaborations with major companies like BMW, Toyota, and Hyundai Autoever highlight Mapbox's strong market presence and potential for growth.
  • The introduction of innovative solutions like MapGPT and digital twin technology positions Mapbox at the forefront of AI-driven geospatial services.
  • Mapbox's ability to integrate with existing ADAS systems without additional hardware offers significant cost savings and ease of adoption for automotive clients.

What critics are saying

  • The competitive landscape in geospatial technology is intense, with giants like Google Maps and HERE posing significant threats.
  • Dependence on high-profile partnerships means that any disruption in these relationships could impact Mapbox's market position and revenue.

What makes Mapbox unique

  • Mapbox offers a highly customizable and scalable suite of mapping and location services, setting it apart from competitors with more rigid solutions.
  • The company's partnerships with industry leaders like Snowflake, Maxar, and Hyundai Autoever enhance its capabilities in telecom visualization and automotive navigation.
  • Mapbox's Vision SDKs and AI-enhanced digital twin solutions provide advanced real-time data interpretation and geospatial analysis, which are unique in the market.