ZipRecruiter

Log In

1

Map Localization Jobs (NOW HIRING)

AeroVect Technologies Inc.

We are looking for a Staff Software Engineer to join the Localization team and own significant parts of our localization, mapping, and calibration stack as we scale autonomous ground operations ...

AeroVect Technologies Inc.

NY · On-site

This role involves significant ownership of the localization, mapping, and calibration stack crucial for scaling autonomous ground operations. The ideal candidate will have over 8 years of experience ...

previous pagenext page

Showing results 21-40

All JobsScience JobsMap Localization Jobs

Map Localization information

See salary details

$21

$46

$76

How much do map localization jobs pay per hour?

As of Sep 11, 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 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.

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:

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

The top searched job categories for Map Localization jobs are:

What other helpful pages are available for Map Localization?

Other pages related to Map Localization:

Map Localization jobs near you
Infographic showing various Map Localization job openings in the United States as of September 2026, with employment types broken down into 83% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $96,184 per year, or $46.2 per hour.

Technical Lead - State Estimation

Seattle, WA • On-site

Overland AI
See more jobs at Overland AIexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

About Overland AI
Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.
Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.
Role Summary
Overland AI is building autonomous ground vehicles capable of operating where GPS is unreliable, terrain is unpredictable, and failure is not an option. We're looking for a Technical Lead in State Estimation to define the algorithms that allow our vehicles to understand exactly where they are-and keep them operating confidently in the world's most demanding environments.
In this role, you'll lead the architecture and development of our state estimation stack, solving challenging problems across localization, mapping, sensor fusion, and probabilistic inference. You'll work at the intersection of cutting-edge robotics research and production autonomy, turning advanced estimation techniques into robust systems that perform reliably in real-world deployment.
As a technical leader, you'll set the direction for state estimation at Overland, mentor a team of exceptional robotics engineers, and collaborate across perception, planning, controls, and platform engineering to build the next generation of autonomous off-road vehicles.
Key Responsibilities
  • Design and implement odometry, localization, and mapping algorithms that enable reliable autonomy in GPS-denied and degraded environments.
  • Develop robust multi-sensor fusion systems combining IMUs, LiDAR, cameras, GNSS, wheel encoders, and other onboard sensors.
  • Formulate and solve estimation problems using Kalman filtering, Bayesian inference, factor graphs, nonlinear optimization, and modern probabilistic techniques.
  • Evaluate and integrate learned approaches-including learned odometry, feature representations, and neural mapping methods-where they deliver measurable improvements over classical techniques.
  • Develop high-performance, production-quality C++ (C++23) software optimized for real-time robotic systems.
  • Build tooling, simulation infrastructure, and evaluation pipelines that enable rapid algorithm development and validation using large-scale field datasets.
  • Lead verification and validation efforts across diverse terrain, weather conditions, and operational environments.
  • Partner closely with perception, planning, controls, and systems engineers to deliver an integrated, reliable autonomy stack.
  • Mentor engineers, drive technical excellence, and establish best practices for robotics software development.

Minimum Qualifications
  • MS or PhD in Robotics, Computer Science, Electrical Engineering, or a related technical field with specialization in state estimation, SLAM, localization, or probabilistic inference.
  • 5+ years developing production-grade state estimation or SLAM systems deployed on physical robotic platforms.
  • Deep expertise in probability theory, Bayesian estimation, optimization, and nonlinear inference, including:
    • EKF, UKF, Error-State Kalman Filters
    • Factor graph optimization (GTSAM, Ceres, g2o)
    • MAP/MLE estimation
  • Demonstrated experience deploying robust estimation systems in complex, unstructured, or off-road environments.
  • Expert-level C++ and strong Python development skills.
  • Experience building low-latency, real-time robotics software.
  • Strong understanding of inertial navigation, sensor calibration, and multi-modal sensor fusion (IMU, LiDAR, cameras, GNSS).
  • Publications or significant technical contributions in SLAM, visual-inertial odometry, LiDAR-inertial odometry, localization, or related fields.

Desired Qualifications & Experience
  • PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Experience incorporating machine learning into estimation pipelines.
  • Experience with ROS 2 and real-time middleware (DDS, shared-memory transport).
  • Experience with terrain-relative navigation, prior-map localization, or GPS-denied navigation.
  • Contributions to widely used open-source robotics or estimation libraries.
  • Experience leading technical teams, mentoring engineers, and driving architecture decisions.
  • Experience shipping autonomy systems on production robotic or autonomous vehicle platforms.

Benefits
Overland AI believes in creating a work environment that you look forward to embracing every day.
  • The salary range for this position is $200K to $260K annually
  • Equity compensation
  • Best-in-class healthcare, dental and vision plans.
  • Flexible PTO
  • 401k with company match
  • Parental leave

Apply