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Autonomous Vehicle Jobs in Raleigh, NC (NOW HIRING)

FPGA Systems Development Engineer

Durham, NC · On-site

$125K - $161K/yr

At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare. ...

Showing results 21-40

Autonomous Vehicle information

See Raleigh, NC salary details

$13

$23

$30

How much do autonomous vehicle jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for autonomous vehicle in Raleigh, NC is $23.24, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $25.48 per hour, depending on experience, location, and employer.

What is an autonomous vehicle?

Autonomous vehicles, also known as self-driving cars or driverless vehicles, are vehicles equipped with technology that allows them to navigate and operate without direct human input. These vehicles use a combination of sensors, cameras, radar, artificial intelligence, and machine learning to perceive their surroundings and make driving decisions. The goal is to increase safety, reduce human error, and create more efficient transportation systems. Autonomous vehicles range from those with partial automation (such as advanced driver assistance systems) to fully autonomous models that do not require a human driver at all.

What are autonomous vehicle jobs?

Autonomous vehicle jobs include a variety of positions based on mechanical engineering and software integration for self-driving vehicles. Someone in this field may help build an assembly line, use robot systems to minimize the risk of human error in production, or help program the operations of a self-driving car. This frequently involves monitoring, engineering, or managing a control system within a vehicle as well as each sensor placed within the vehicle. Companies are continually testing new ideas and techniques to check them for viability—as such, autonomous vehicle jobs require flexibility and the ability to adapt to new technology.

What are the key skills and qualifications needed to thrive as an autonomous vehicle engineer, and why are they important?

To thrive as an Autonomous Vehicle Engineer, you need a strong background in robotics, computer vision, sensor integration, and software development, usually supported by a degree in engineering, computer science, or a related field. Familiarity with tools and systems like ROS (Robot Operating System), machine learning frameworks (such as TensorFlow or PyTorch), and automotive simulation platforms is essential, and certifications in safety standards like ISO 26262 are often valued. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and ensuring safety. Mastery of these skills ensures the reliable development, testing, and deployment of autonomous vehicle systems in a rapidly evolving industry.

What are some common challenges faced by professionals working in autonomous vehicle development teams?

Professionals in autonomous vehicle development often encounter challenges such as integrating complex sensor data, ensuring reliable software performance in unpredictable environments, and adhering to strict safety standards. Collaboration is essential, as teams are typically multidisciplinary, involving software engineers, robotics experts, and data scientists working closely together. Additionally, staying updated with evolving regulations and rapidly changing technology demands a commitment to continuous learning and adaptability.

What is the difference between Autonomous Vehicle vs Autonomous Vehicle Technician?

AspectAutonomous VehicleAutonomous Vehicle Technician
Required CredentialsEngineering degrees, certifications in AI, robotics, or automotive systemsTechnical certifications, hands-on training in vehicle systems and diagnostics
Work EnvironmentResearch labs, automotive companies, testing facilitiesVehicle service centers, manufacturing plants, testing sites
Employer & Industry UsageAutomotive manufacturers, tech companies, research institutionsAutomotive service providers, dealerships, testing agencies

Autonomous Vehicles are advanced systems that operate without human input, requiring expertise in AI and robotics. Autonomous Vehicle Technicians focus on maintaining, diagnosing, and repairing these vehicles, often working directly with the hardware and software components. While both roles are integral to autonomous vehicle development and deployment, they differ in their focus—one on system design and development, the other on hands-on technical support.

What are the most commonly searched types of Autonomous Vehicle jobs in Raleigh, NC?

The most popular types of Autonomous Vehicle jobs in Raleigh, NC are:

What are popular job titles related to Autonomous Vehicle jobs in Raleigh, NC?

For Autonomous Vehicle jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Autonomous Vehicle jobs in Raleigh, NC look for?

The top searched job categories for Autonomous Vehicle jobs in Raleigh, NC are:

Infographic showing various Autonomous Vehicle job openings in Raleigh, NC as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $48,336 per year, or $23.2 per hour.

Mobile Ultrasound Technologist

Global Diagnostic Services, Inc.

Durham, NC • On-site

Full-time

Re-posted 10 days ago


Job description

No Stressful Hospital Hours · We Promote Work/Life Balance
This role is ideal for technologists seeking flexibility, autonomy, and predictable weekday hours without the demands of a hospital setting.
📣 IMMEDIATE HIRE 📣 
MOBILEULTRASOUND TECHNOLOGISTS 
FLEXIBLE SCHEDULE
GREAT BENEFITS

NO WEEKENDS
EXCELLENT SALARY
COMPANY PROVIDED VEHICLE

REQUIREMENTS: REGISTERED BY ARDMS 
Ability to independently operate ultrasound equipment
Strong professionalism and patient-care skills

Global Diagnostic Services, Inc. is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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