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Autonomous Driving Mapping Jobs (NOW HIRING)

Nvidia

OR

$122K - $161K/yr

An always available map helps tremendously for reliable autonomous driving. In this role, you will help build robust solutions for using ubiquitous navigation maps as well as our crowd sourced maps ...

Zoox

Software Engineer - 3D Mapping

Foster City, CA

The 3D Mapping team is seeking a Software Engineer to help tackle all the challenging mapping ... This work is critical for scaling autonomous driving in a safe and reliable way. We are looking for ...

Zoox

Software Engineer - 3D Mapping

Foster City, CA

$189K - $227K/yr

The 3D Mapping team is seeking a Software Engineer to help tackle all the challenging mapping ... This work is critical for scaling autonomous driving in a safe and reliable way. We are looking for ...

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How much do autonomous driving mapping jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for autonomous driving mapping in the United States is $21.37, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.63 per hour, depending on experience, location, and employer.

How does the Autonomous Driving Mapping role typically collaborate with engineering and data science teams?

In an Autonomous Driving Mapping role, collaboration with engineering and data science teams is essential for integrating detailed map data with vehicle perception and navigation systems. Mapping specialists work closely with engineers to ensure that map updates and features are compatible with the vehicle’s hardware and software platforms. They also partner with data scientists to analyze sensor data, validate map accuracy, and continually improve localization algorithms. Regular cross-functional meetings and agile workflows help maintain alignment and accelerate problem-solving across these teams.

What are the key skills and qualifications needed to thrive in Autonomous Driving Mapping, and why are they important?

To excel in Autonomous Driving Mapping, you need expertise in geospatial data analysis, computer vision, and a background in computer science, engineering, or a related field. Proficiency with mapping software such as GIS tools, HD map creation platforms, LiDAR data processing, and programming languages like Python or C++ is typically required. Strong problem-solving skills, attention to detail, and effective teamwork are critical soft skills for this role. These abilities ensure the creation of accurate, high-definition maps that are essential for safe and reliable autonomous vehicle navigation.

What is autonomous driving mapping?

Autonomous driving mapping refers to the creation and maintenance of detailed digital maps that are used by self-driving vehicles to understand and navigate their environment safely. These maps contain high-definition information about road layouts, traffic signs, lanes, intersections, and other critical features. Autonomous vehicles rely on these maps, in combination with real-time sensor data, to make driving decisions and ensure accuracy in positioning. The mapping process involves collecting data from multiple sources, such as cameras, LiDAR, GPS, and other sensors, and integrating it into a comprehensive, up-to-date map. These maps are essential for the safe and efficient operation of autonomous vehicles.

What is the difference between Autonomous Driving Mapping vs Autonomous Vehicle Sensor Technician?

AspectAutonomous Driving MappingAutonomous Vehicle Sensor Technician
CredentialsGIS, mapping software, CAD skillsElectronics, sensor calibration certifications
Work EnvironmentField data collection, office-based mappingGarage, lab, on-vehicle sensor testing
Industry UsageAutonomous vehicle development, mapping companiesVehicle manufacturers, service centers
Search/Comparison IntentUnderstanding roles in autonomous vehicle techSensor installation and maintenance in autonomous vehicles

Autonomous Driving Mapping specialists focus on creating detailed maps and spatial data essential for autonomous vehicle navigation. In contrast, Autonomous Vehicle Sensor Technicians handle the installation, calibration, and maintenance of sensors on autonomous vehicles. Both roles are vital in the autonomous vehicle industry but differ in skills, work environment, and responsibilities.

Infographic showing various Autonomous Driving Mapping job openings in the United States as of May 2026, with employment types broken down into 11% Full Time, and 89% Part Time. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $44,459 per year, or $21.4 per hour.
Senior Software Engineer, Localization and Mapping

Senior Software Engineer, Localization and Mapping

Nuro

Mountain View, CA

$193K - $291K/yr

Other

Posted 26 days ago

Job description

Who We Are 

Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver is one of the few driverless autonomous technologies on public roads today. 

Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We've partnered with some of the world's most respected brands including Uber, FedEx, Domino's, Walmart, Kroger, and 7-Eleven.

About the Role


Our robotics team is growing and we are looking for a Software Engineer to join our Localization & Mapping team. You will be working on challenging problems in the design and implementation of the map system used on our current and future robots. We're searching for an engineer with experience building robust map systems that work with real data in uncertain environments, and a strong desire to contribute to the future of robot navigation for logistics and transportation.

About the Work

  • Research, develop, and implement state of the art mapping and/or state estimation algorithms.
  • Analyze and characterize the accuracy and performance of mapping and/or state estimation algorithms while creating map solutions from various types of data sources.
  • Build well-tested C++ software and deploy and test on our robotic platforms and in simulation.
  • Work in a small, focused team to deliver high-quality mapping and localization solutions that power the next generation of mobile robots.
  • Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements.

About You

  • 2+ years of industry experience as a software engineer.
  • Strong C/C++ programming skills, developing well-tested, safety critical software.
  • Hands-on experience developing mapping and/or localization algorithms for AV, drones, or similar applications.
  • Deep understanding of state estimation, probabilistic filtering, 3D geometry.
  • Experience working with multiple sensors (lidar, camera, etc.).

Bonus Points 

  • PHD and/or Masters Degree in computer science, electrical engineering, robotics, or related field.
  • Experience with mapping data such as satellite imagery, lidar point clouds, standard definition (SD) maps.
  • Proficiency in python.
  • Experience with machine learning pipelines and/or machine learning for perception and/or mapping.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

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