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Autonomous Driving Mapping Jobs (NOW HIRING)

Didi Labs

$141K - $235K/yr

Software Engineer, Map Fusion & Planning San Jose, CA About the Company DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD ...

Nvidia

Senior Sensor Fusion Engineer - Autonomous Vehicles

OR · On-site +1

$104K - $137K/yr

In this role, you will help craft and guide the future of our autonomous driving solution for providing a complete 3D world model including fusing signals between map and perception. You will be ...

NVIDIA Corporation

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Strong technical skills, including experience in L3/L4 Map in autonomous vehicles for driving, or ...

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Autonomous Driving Mapping information

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How much do autonomous driving mapping jobs pay per hour?

As of Sep 14, 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.

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 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.

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 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 September 2026, with employment types broken down into 80% Full Time, and 20% Temporary. Highlights an 100% In-person job distribution, with an average salary of $44,459 per year, or $21.4 per hour.

Senior Software Engineer, Mapping Field Response

Mountain View, CA • On-site

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

Full-time

Re-posted 25 days ago

Job description

The Waymo Mapping team's goal is to build a high resolution map of the world to support safe autonomous driving. We work on creating the map using a combination of automatic and manual techniques and build the infrastructure to store, process, and distribute the map.

In this role, you will:

  • Own business-critical systems for taking low latency actions in response to signals from Waymo's fleet
  • Develop algorithms and infrastructure for keeping the map fresh
  • Build robust backend infrastructure and data processing that will scale with Waymo's growth
  • Make high-impact contributions across Waymo's Mapping stack including infrastructure development,  algorithm advances, and tooling improvements

You have:

  • Backend engineer with experience building server-side infrastructure and data processing
  • Solid coding skills (C++ preferred)
  • > 4 years of total experience
  • Strong sense of ownership and ability to thrive in ambiguity
  • Proven track record of being able to apply a broad range of skills to effectively solve business problems

It's a Bonus if you have:

  • Master's in Computer Science, Robotics or related field
  • Experience in AV industry or Mapping

Apply