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Map Localization information

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$22

$47

$78

How much do map localization jobs pay per hour?

As of May 30, 2026, the average hourly pay for map localization in Clarkston, MI is $47.27, according to ZipRecruiter salary data. Most workers in this role earn between $41.06 and $51.83 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Map Localization Engineer, and why are they important?

To thrive as a Map Localization Engineer, you need a strong background in robotics, computer vision, and algorithms, often supported by a degree in computer science, electrical engineering, or a related field. Proficiency with tools and frameworks such as ROS (Robot Operating System), SLAM (Simultaneous Localization and Mapping), and programming languages like C++ and Python is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating on complex projects and debugging localization systems. These skills are crucial for developing accurate and reliable localization solutions that enable autonomous navigation and mapping in real-world environments.

What are some common challenges faced by professionals working in map localization roles?

Professionals in map localization often encounter challenges such as managing the accuracy of real-time data from multiple sources and ensuring that maps remain up-to-date with constantly changing environments. Additionally, working with large volumes of geospatial data requires strong analytical and technical skills, especially when integrating information from LiDAR, GPS, and camera systems. Collaboration with cross-functional teams, such as software developers and robotics engineers, is essential to solve localization issues and to deliver reliable navigation solutions. Staying current with advances in localization algorithms and mapping technologies is also important for ongoing success in this field.

What is map localization?

Map localization is the process of determining a device's or vehicle’s precise position within a known map or environment. It is a crucial component in robotics, autonomous vehicles, and navigation systems, allowing them to understand their location relative to their surroundings. Accurate map localization enables systems to navigate safely, avoid obstacles, and perform tasks efficiently. This process often uses sensors like GPS, LiDAR, cameras, and algorithms such as SLAM (Simultaneous Localization and Mapping).

What is the difference between Map Localization vs GIS Technician?

AspectMap LocalizationGIS Technician
Required CredentialsGPS, GIS, or mapping software certificationsGIS certifications, degree in geography or related field
Work EnvironmentFieldwork, outdoor mapping, mobile devicesOffice-based, desktop GIS software
Employer & Industry UsageNavigation apps, autonomous vehicles, outdoor mappingUrban planning, environmental management, utilities
Search & Comparison IntentUnderstanding field mapping rolesTechnical GIS data management

Map Localization focuses on real-time positioning and navigation, often in outdoor or mobile environments, using GPS and mapping tools. GIS Technicians handle spatial data analysis, map creation, and GIS software management primarily in office settings. While both roles involve geographic data, Map Localization emphasizes field-based positioning, whereas GIS Technicians focus on data processing and map development.

Map Localization jobs near you
Staff Mapping and Navigation Engineer

Staff Mapping and Navigation Engineer

Lucid Motors

Southfield, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Lucid Motors rating

7.4

Company rating: 7.4 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

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, were 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.

We are seeking a highly motivated and skilled Mapping and Navigation Engineer with a strong focus on machine learning to join our growing team. In this role, you will be responsible for developing and implementing cutting-edge mapping and navigation solutions for ADAS. You will work on challenging problems related to Simultaneous Localization and Mapping (SLAM), state estimation, and optimization, leveraging the power of machine learning to achieve robust and accurate performance in complex environments.

Responsibilities:

- Design, develop, and implement advanced mapping and localization algorithms, including SLAM, visual odometry, and sensor fusion.
- Research and apply machine learning techniques to enhance the performance and robustness of mapping and localization systems. This may include deep learning for feature extraction, place recognition, or map understanding.
- Develop and optimize state estimation algorithms, such as Kalman filters, particle filters, and factor graphs, for accurate and reliable pose estimation.
- Implement and evaluate optimization techniques for map building and localization, including bundle adjustment and graph optimization.
- Work with various sensor data, including lidar, cameras, IMUs, WSS, and GPS, to create robust and accurate maps and localization systems.
- Develop and maintain software in C++ and/or Python.
- Collaborate with other engineers to integrate mapping and localization solutions into larger systems.
- Participate in code reviews and contribute to improving software quality.
- Stay up-to-date with the latest research and advancements in mapping, localization, and machine learning.

Qualifications:

  • 7+ years of full-time engineering experience (not including internships or co-ops).
  • M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field with a focus on mapping, localization, or machine learning.
  • Strong understanding of fundamental concepts in SLAM, state estimation, optimization, and sensor fusion.
  • Proven experience in developing and implementing mapping and localization algorithms.
  • Proficiency in machine learning techniques and experience applying them to mapping and localization problems.
  • Strong programming skills in C++, Python is a nice to have.
  • Excellent problem-solving and analytical skills.
  • Ability to work independently and as part of a team.
  • Excellent communication and presentation skills.

Bonus Points:

  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
  • Experience with specific sensor modalities (e.g., lidar, cameras, IMUs).
  • Experience with real-time embedded systems.
  • Contributions to open-source projects related to mapping and localization.
  • Publications in top-tier conferences or journals.
  • Experience with robotics software frameworks (e.g., ROS) is a plus.

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 Lucids 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.)

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. 
 

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About Lucid Motors

Sourced by ZipRecruiter

Lucid Motors is a highly innovative electric vehicle manufacturer located in Newark, CA, USA. Primarily engaged in the automotive industry, its mission is to elevate electric vehicles' standing and transform the way people travel. The company was founded in 2007 by Bernard Tse and Sam Weng as Atieva, a name under which it initially focused on battery technology. However, it pivoted towards automotive manufacturing and rebranded as Lucid Motors in 2016. The company is committed to making luxury, sustainable electric vehicles that break norms and set new standards with top-notch technology and engineering. Their mission aligns with their core values, which are centered around innovation, sustainability, and excellence. Notably, Lucid Motors launched the Lucid Air in 2020, an all-electric sedan well-received for its advanced features and impressive mileage.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2007

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