Sr. Map Software Engineer

Overview

USD 154,000.00 - 211,750.00 per year
Full Time

Skills

Routing
Scalability
Research
Knowledge Sharing
Computer Science
C++
Java
Python
JavaScript
GL
OpenLayers
Google Maps API
Data Structure
Algorithms
Database
PostgreSQL
PostGIS
MongoDB
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Problem Solving
Conflict Resolution
Debugging
Communication
Collaboration
Data Processing
Machine Learning (ML)
Geospatial Analysis
Open Source
Mapping
Training
Life Insurance
Insurance
Privacy
Recruiting

Job Details

Leading the future in luxury electric and mobility

At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.

We plan to lead in this new era of luxury electric by returning to the fundamentals of great design - where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.

Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

The posted salary range reflects compensation for our Newark, CA office. This role requires employees to be onsite five days a week in Newark, CA.

Role Overview:

We are seeking a talented and passionate Map Software Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining software components that power our mapping platform. You will work on a variety of projects, including map data processing, rendering, routing, search, and navigation. You will collaborate with other engineers, product managers, and designers to deliver high-quality, scalable, and performant mapping solutions.

Responsibilities:
  • Develop and maintain core mapping software components: Implement algorithms and data structures for map data processing, rendering, routing, search, and navigation.
  • Optimize performance and scalability: Identify and address performance bottlenecks, ensuring efficient handling of large datasets and high user traffic.
  • Design and implement robust APIs: Create and maintain APIs for accessing and utilizing mapping data and services.
  • Collaborate with cross-functional teams: Work closely with product managers, designers, and other engineers to define requirements and deliver solutions.
  • Write clean, well-documented, and testable code: Adhere to coding standards and best practices, ensuring code quality and maintainability.
  • Troubleshoot and debug complex issues: Investigate and resolve software defects and performance problems.
  • Stay up-to-date with the latest mapping technologies: Research and evaluate new technologies and techniques to improve our mapping platform.
  • Contribute to code reviews and knowledge sharing: Participate in code reviews and share knowledge with team members.

Qualifications:
  • 5+ years of full-time engineering experience (not including internships and co-ops)
  • Bachelor's or Master's degree in Computer Science, Geography, or a related field.
  • Strong programming skills in one or more of the following languages: C++, Java, Python, JavaScript, or similar.
  • Experience with mapping libraries and frameworks (e.g., Mapbox GL, Leaflet, OpenLayers, Google Maps API).
  • Knowledge of spatial data structures and algorithms (e.g., quadtrees, R-trees, graph algorithms).
  • Understanding of geospatial data formats (e.g., GeoJSON, Shapefile, Protobuf).
  • Experience with database systems (e.g., PostgreSQL/PostGIS, MongoDB).
  • Familiarity with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure).
  • Excellent problem-solving and debugging skills.
  • Strong communication and collaboration skills.
  • Passion for maps and location-based technologies.

Preferred Qualifications:
  • Experience with map data processing and analysis.
  • Experience with machine learning for geospatial applications.
  • Contributions to open-source mapping projects.

Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid's equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

Base Pay Range (Annual)

$154,000-$211,750 USD

By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.

To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.