1

Map Localization Jobs (NOW HIRING)

next page

Showing results 1-20

Map Localization information

See salary details

$21

$46

$76

How much do map localization jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for map localization in the United States is $46.24, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $50.72 per hour, depending on experience, location, and employer.

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.

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 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 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.
More about Map Localization jobs
What cities are hiring for Map Localization jobs? Cities with the most Map Localization job openings:
What states have the most Map Localization jobs? States with the most job openings for Map Localization jobs include:
Infographic showing various Map Localization job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $96,184 per year, or $46.2 per hour.
Senior Software Engineer, Mapping & Localization

Senior Software Engineer, Mapping & Localization

PlusAI

Santa Clara, CA

$150K - $200K/yr

Full-time

Posted 27 days ago


Job description

We are seeking a highly skilled and motivated Senior Software Engineer to join our Mapping & Localization team. In this role, you will be responsible for enhancing both the online and offline components of our mapping infrastructure, including online map interface, map version control, tile-based LiDAR map generation, and large-scale map management. You will play a critical role in supporting runtime map queries for key modules such as perception, localization, prediction, and planning.
Responsibilities:
  • Design and optimize scalable interfaces for online lane and map representation.
  • Improve cross-module map interfaces to support perception, prediction, and planning pipelines.
  • Develop and enhance systems for large-scale map deployment, including offline map generation, version control, and online tile-based LiDAR map loading.
  • Maintain and evolve the mapping watchdog and event mining systems to monitor system health and anomalies.
  • Enhance the mapping CI system to support robust development and deployment workflows.
  • Optimize performance of offline 3D reconstruction pipelines.
  • Collaborate closely with cross-functional teams to understand system-wide dependencies and performance needs across perception, planning, control, simulation, and infrastructure.
  • Work with the operations team to define requirements for data collection, preprocessing, labeling, and validation.
  • Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
  • Ensure team compliance with QMS, monitor quality, and drive process improvements.
Required Skills:
  • BS or MS in Computer Science, Computer Engineering, or a related technical field.
  • 3+ years of experience in developing large-scale, real-time C++ systems.
  • Strong proficiency in modern C++ and understanding of multi-threading, multiprocessing, and operating systems, e.g. ROS.
  • Solid foundation in data structures, algorithms, and software design principles.
  • Familiarity with large-scale map data pipelines and distributed systems.
  • Familiarity with CI/CD systems, and maintaining production-grade infrastructure.
  • Excellent written and verbal communication skills.
  • Self-motivated, comfortable operating without direct supervision.
Preferred Skills:
  • Hands-on experience with mapping and localization algorithms, such as LiDAR/Visual Odometry, SLAM, or Kalman filtering.
  • Experience working on offline 3D reconstruction systems.
$150,000 - $200,000 a year
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job