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Map Localization Jobs in Georgia (NOW HIRING)

GRENZEBACH

Software Engineer

Newnan, GA · On-site

Implement and maintain SLAM (Simultaneous Localization and Mapping) navigation algorithms. * Develop and maintain software using CODESYS for industrial robotic systems. * Integrate robot control ...

Grenzebach Hellas

Software Engineer

Newnan, GA · On-site

... Localization and Mapping) navigation algorithms. • Develop and maintain software using CODESYS for industrial robotic systems. • Integrate robot control systems with industrial PLC architecture ...

Black & Veatch

Survey Party Chief

Carrollton, GA · On-site

Prepare and maintain sketches, maps, reports, and legal descriptions of surveys to describe ... Site calibration/localization. * Analyze survey objectives and specifications to prepare survey ...

Black & Veatch

Survey Party Chief

Newnan, GA

Prepare and maintain sketches, maps, reports, and legal descriptions of surveys to describe ... Site calibration/localization. * Analyze survey objectives and specifications to prepare survey ...

Black & Veatch

Survey Party Chief

Carrollton, GA

Prepare and maintain sketches, maps, reports, and legal descriptions of surveys to describe ... Site calibration/localization. * Analyze survey objectives and specifications to prepare survey ...

Slip Robotics

Robotics Perception Engineer

Atlanta, GA · On-site +1

Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping * Integrate and calibrate LiDAR, depth ...

GRENZEBACH

Automation Commissioning Engineer

Newnan, GA · On-site

Execute navigation setup, including SLAM-based mapping, calibration, and optimization * Evaluate and ensure stability of LiDAR-based localization and navigation performance * Integrate and configure ...

All JobsMap Localization JobsMap Localization Jobs in Georgia

Map Localization information

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 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 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 are popular job titles related to Map Localization jobs in Georgia?

For Map Localization jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Map Localization jobs in Georgia look for?

The top searched job categories for Map Localization jobs in Georgia are:

What cities in Georgia are hiring for Map Localization jobs?

Cities in Georgia with the most Map Localization job openings:

Map Localization jobs near you
Infographic showing various Map Localization job openings in Georgia as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Senior Software Engineer, Localization (Calibration)

AeroVect Technologies Inc.

Atlanta, GA • On-site

$100 - $130/hr

Other

Posted 4 days ago

Job description

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

We are looking for a Senior Software Engineer to join the Localization team and take ownership of our calibration systems — from robustifying and stabilizing the existing offline calibration stack, through adapting it for new sensors and environments, to building online calibration validation for continuous autonomous operations at major airports. Beyond calibration, you will contribute to the broader localization, mapping, and sensor integration efforts as the team scales. You will work under the supervision of a Staff Localization Engineer and collaborate closely with the Perception, Planning, and Infrastructure teams.

You Will
  • Own the calibration stack end-to-end — improve reliability of existing offline calibrations, close coverage gaps across the sensor suite (LiDAR, IMU, GNSS, cameras, radar), and ensure every calibration is repeatable, traceable, and has clear pass/fail criteria
  • Design and build an online calibration validation system that monitors cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
  • Contribute to the localization and mapping pipeline — sensor integration, performance tuning, regression testing, and deployment to new operating environments
  • Develop tooling for calibration health logging, diagnostics, and post-mission analysis
  • Deploy, test, and iterate using data from real autonomous operations at active airports
You Have
  • 5+ years of experience in robotics or autonomous vehicles with hands-on work in sensor calibration, localization, or state estimation
  • Strong practical knowledge of multi-sensor calibration - intrinsic, extrinsic, and temporal - across LiDARs, IMUs, GNSS, and cameras
  • Proven experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) or filtering approaches (EKF, UKF)
  • Strong C++ skills (C++17+) and working experience with Linux and ROS/ROS2
  • Understanding of how calibration quality propagates through localization and perception
  • BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or related field
We Prefer
  • MS or PhD with a focus on calibration, localization, or state estimation
  • Experience building online/runtime calibration monitoring for deployed autonomous systems
  • Experience with factor graphs, graph-based SLAM, or open-source tools like Kalibr, LIO-SAM, GLIM, Ceres, GTSAM
  • Track record of deploying calibration or localization systems on real hardware in production environments
  • Experience defining safety-relevant thresholds and working with safety monitoring architectures
  • Familiarity with OpenCV, PCL, or Open3D
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