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Map Localization Jobs in New York, NY (NOW HIRING)

Advanced Robotics Group, LLC

Be Seen First

Autonomous Robotics Software Engineer

New York, NY · On-site

... for localization, mapping, path planning, and navigation · Integrate perception, sensing, and control systems into cohesive solutions · Design and execute simulation and real-world testing to ...

Kyriba Corp.

Senior Specialist, Workday Finance

New York, NY · On-site

$119K - $162K/yr

... mapping reviews, and sign off on conversion outcomes as part of legacy decommissioning. * Compliance and localization: Coordinate with Tax and local Finance to ensure proposed designs meet e ...

Ceno Group Inc.

Founding Product Designer

New York, NY · On-site

$125K - $175K/yr

From there the map expands, market by market, until the world's equities sit on one shelf. The product promise is true localization: buying any global equity feels exactly like trading the US markets ...

Optimism

Senior Sales Engineer

Manhattan, NY · On-site

$100 - $140/hr

Support documentation localization and technical enablement in Japanese * Help customers compare ... Sharp strategic thinker who can map fragmented fintech value chains and craft compelling BD theses

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All JobsMap Localization JobsMap Localization Jobs in New York, NY

Map Localization information

See New York, NY salary details

$23

$50

$83

How much do map localization jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for map localization in New York, NY is $50.59, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $55.48 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.

What are popular job titles related to Map Localization jobs in New York, NY?

For Map Localization jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Map Localization jobs in New York, NY look for?

The top searched job categories for Map Localization jobs in New York, NY are:

Map Localization jobs near you
Infographic showing various Map Localization job openings in New York, NY 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, with an average salary of $105,229 per year, or $50.6 per hour.

Staff Software Engineer, Localization

AeroVect

New York, NY • On-site, Remote

Full-time

Re-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 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 across major airports. You'll take deep ownership of specific workstreams, contribute to the team's technical direction, and partner across the perception, planning, and platform interfaces to help drive the autonomous system from supervised operation to driverless. You'll work alongside the team's senior localization engineers.
You Will
  • Take ownership of one or more core areas of the localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration) and drive it to production reliability on real hardware at active airports
  • Contribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environments
  • Help design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
  • Develop tooling for diagnostics, health logging, and post-mission analysis across the stack
  • Contribute to the regression, validation, and release-gating approach for localization changes deployed to active airports
  • Deploy, test, and iterate using data from real autonomous operations

You Have
  • 8+ years in robotics or autonomous vehicles, with a track record of owning localization or state-estimation systems through production deployment on real hardware
  • Deep practical grounding in multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and cameras
  • Demonstrated technical leadership - driving architecture across teams, setting direction, and being the person others escalate to on hard estimation problems
  • Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF), with the judgment to know when each applies
  • Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2
  • Understanding of how calibration quality propagates through localization and perception, and how localization errors propagate into the safety case
  • BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field

We Prefer
  • MS or PhD with a focus on localization, state estimation, or calibration
  • Hands-on experience with multi-sensor calibration - intrinsic, extrinsic, and temporal
  • Experience with factor graphs, graph-based SLAM, or open-source tools like GLIM, LIO-SAM, Cartographer, Kalibr, Ceres, GTSAM
  • Experience building online/runtime monitoring and defining safety-relevant thresholds within a safety monitoring architecture
  • Track record of taking an autonomous system toward driverless operation

Apply