ZipRecruiter

Log In

1

Autonomous Driving Mapping Jobs (NOW HIRING)

Nvidia

OR · On-site

$104K - $143K/yr

... autonomous driving solutions. As a member of our perception team, you will be driving E2E solutions ... mapping - including road layouts, lane structures, boundaries, crosswalks, and other traffic ...

Nvidia

OR

$104K - $143K/yr

... autonomous driving solutions. As a member of our perception team, you will be driving E2E solutions ... mapping - including road layouts, lane structures, boundaries, crosswalks, and other traffic ...

Waymo

Program Manager, Mapping Operations

Mountain View, CA · On-site

$51.45 - $62.99/hr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... The Mapping Operations team is responsible for building, validating, and continuously improving the ...

next page

Showing results 1-20

People also search for

All JobsAutonomous Driving Mapping Jobs

Autonomous Driving Mapping information

See salary details

$6

$21

$39

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.

Autonomous Driving Intern

Isuzu Motors America LLC

Plymouth, MI

$18 - $34/hr

Other

Posted 3 days ago

Job description

Isuzu Technical Center of America is seeking an Autonomous Driving Intern to join its operations in Plymouth, MI, for Summer 2026. The selected candidate will be placed with a preferred agency for employment.

JOB SUMMARY

Isuzu Technical Center of America (ITCA) is seeking a highly motivated Autonomous Driving Intern to support ITCA advanced engineering team in the development and integration of Level 4 autonomous driving technologies. In this role, the intern will work closely with Isuzu internal teams and Silicon Valley-based partner companies on white-box development projects, gaining hands-on experience in the validation and deployment of autonomous systems. The intern will assist in tasks such as requirement analysis, system integration, software testing, and performance evaluation. This internship offers a unique opportunity to work at the intersection of vehicle engineering and cutting-edge autonomous technology within a collaborative and fast-paced environment.

PRINCIPAL DUTIES & RESPONSIBILITIES

  • Monitor and analyze autonomous vehicle virtual and on-road testing results submitted by external partners, identify root causes of disengagements, and contribute to bug tracking and resolution.
  • Review pull request submitted by external partner teams and perform code-level assessment to verify performance impacts of proposed software changes. Support requirement traceability by mapping software changes to functional and system-level requirements.
  • Track and document the daily technical progress, including code updates, open issues, blockers, and development milestones with JIRA dashboards and Confluence pages.
  • Assist with system integration and validation of autonomous driving (perception, planning, and control) features on OEM vehicle platforms. Participate in software integration testing, both in simulation and on physical test vehicles.

ORGANIZATIONAL RELATIONSHIPS

  • Reports to: Manager, Autonomous Driving

EDUCATION, EXPERIENCE & TRAINING

  • Master’s degree or above in Robotics, Computer Science, Mathematics, Electronic Engineering, or related fields, with extensive experience in autonomous driving algorithm development across perception, planning, and control.
  • Expert-level candidates should demonstrate technical leadership and/or publications in top-tier academic conferences.
  • Candidates must have a GPA of 3.6 or higher on a 4.0 scale
  • Prior industry experience in robotics or autonomous driving is preferred

KNOWLEDGE

  • Basics of robotics, including localization, mapping, perception, and control
  • Knowledge of autonomous vehicle architectures and sensor fusion
  • Exposure to middleware frameworks like ROS (Robot Operating System)
  • Understanding of image processing, object detection, or deep learning

SKILLS & ABILITIES

  • Proficiency in programming languages: C++, Python, and MATLAB/Simulink/ Stateflow
  • Proficiency in robotics-related software: ROS, ROS2, PyTorch, Carla, OpenCV, Autoware, YOLO
  • Proficiency in project & issue tracking tool: JIRA, Confluence
  • Proficiency in version control management tool: GitHub
  • Valid driver license with good record

PHYSICAL STANDARDS

The employee must be able to access, enter, and retrieve data using a computer. This is primarily a sedentary position in a controlled office environment which requires only occasional reaching, stooping, and lifting of office files, reports or records, typically weighing 5 lbs. or less. Requires occasional light lifting (5-25 lbs) and on rare occasions, heavy lifting (60 lbs). Must be able on rare occasions to bend, crawl, climb, crouch, kneel and reach above shoulder level in the performance of job duties. Must be able to work in hot and cold weather extremes.

Apply