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Autonomous Driving Jobs in Dallas, TX (NOW HIRING)

ISEE

Autonomous Vehicle Integration Engineer

Dallas, TX · On-site

$102K - $138K/yr

Role responsibilities include: - Integrate ISEE's self-driving kit (consisting of sensors ... sensor technology for autonomous driving platforms including sensor calibrations We may use ...

ISEE

Autonomous Vehicle Integration Engineer

Dallas, TX · On-site

$102K - $138K/yr

Role responsibilities include: - Integrate ISEE's self-driving kit (consisting of sensors ... sensor technology for autonomous driving platforms including sensor calibrations We may use ...

Avride

Be Seen First

Autonomous Vehicle Rideshare Driver

Dallas, TX · On-site

$25/hr

You'll experience autonomous driving technology firsthand while helping our team improve how these vehicles navigate the world around them. No AV background? No problem. We can teach you our systems ...

Avride

Autonomous Vehicle Rideshare Drivers

Dallas, TX

$25/hr

You'll experience autonomous driving technology firsthand while helping our team improve how these vehicles navigate the world around them. No AV background? No problem. We can teach you our systems ...

Avride

Autonomous Vehicle Rideshare Drivers

Dallas, TX · On-site

$25/hr

S.-based autonomous vehicle company headquartered in Austin, TX, with additional R&D hubs around ... If you're passionate about driving, technology, and being part of an industry that's transforming ...

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Autonomous Driving information

See Dallas, TX salary details

$6

$21

$38

How much do autonomous driving jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for autonomous driving in Dallas, TX is $21.14, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $21.39 per hour, depending on experience, location, and employer.

What is autonomous driving?

Autonomous driving refers to the use of technology to enable vehicles to navigate and operate without direct human input. These vehicles use a combination of sensors, cameras, radar, and artificial intelligence to perceive their environment and make driving decisions. The goal is to improve road safety, reduce human error, and increase transportation efficiency. Autonomous driving systems are typically categorized by levels, ranging from driver assistance to fully self-driving vehicles. This field is rapidly evolving, with ongoing research and real-world testing by automotive and technology companies.

What are some common challenges faced by professionals working in autonomous driving roles?

Professionals in autonomous driving often encounter challenges such as integrating complex sensor data, ensuring the reliability of AI algorithms in unpredictable environments, and meeting strict safety and regulatory standards. Collaboration is key, as teams typically work cross-functionally with hardware, software, and quality assurance groups to solve technical issues and validate system performance. Adapting to rapidly evolving technology and maintaining clear communication across disciplines are essential for success in this dynamic field.

What are the key skills and qualifications needed to thrive in an autonomous driving engineer role, and why are they important?

To thrive as an Autonomous Driving Engineer, you need a solid background in computer science, robotics, and engineering, often demonstrated by a relevant degree and experience in machine learning or computer vision. Proficiency with programming languages such as Python and C++, as well as familiarity with simulation tools, ROS (Robot Operating System), and sensor integration (e.g., LiDAR, radar), is essential. Strong problem-solving abilities, collaboration skills, and adaptability help you effectively tackle complex technical challenges and work within multidisciplinary teams. These skills ensure the development of safe, reliable, and innovative autonomous vehicle systems that meet rigorous industry standards.

What is the difference between Autonomous Driving vs Autonomous Vehicle Software Engineer?

AspectAutonomous DrivingAutonomous Vehicle Software Engineer
Required CredentialsEngineering degrees, specialized training in AI, robotics, or automotive systemsComputer science, software engineering degrees, programming skills in C++, Python
Work EnvironmentResearch labs, automotive companies, testing facilitiesSoftware development teams, automotive tech companies, simulation environments
Industry UsageDeveloping and testing autonomous vehicle systemsDesigning and coding software for autonomous vehicle functions
Common Search/ComparisonYesYes

Autonomous Driving focuses on the overall development, testing, and deployment of self-driving vehicle systems, often involving hardware integration and real-world testing. Autonomous Vehicle Software Engineers primarily concentrate on coding, software design, and algorithm development for autonomous vehicle functionalities. Both roles require technical expertise, but Autonomous Driving is broader, encompassing system integration, while Autonomous Vehicle Software Engineers specialize in software development within the autonomous vehicle industry.

What are popular job titles related to Autonomous Driving jobs in Dallas, TX?

For Autonomous Driving jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Autonomous Driving jobs in Dallas, TX look for?

The top searched job categories for Autonomous Driving jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Autonomous Driving jobs?

Cities near Dallas, TX with the most Autonomous Driving job openings:

Autonomous Driving jobs near you
Infographic showing various Autonomous Driving job openings in Dallas, TX as of August 2026, with employment types broken down into 69% Full Time, 28% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $43,981 per year, or $21.1 per hour.

Vehicle Integration Engineer - Autonomous Vehicles

Linuxconfig

Dallas, TX • On-site

$90 - $130/hr

Other

Posted 8 days ago

Job description

ISEE is seeking a detail-oriented vehicle integration engineer.

Role responsibilities include:
  • Integrate ISEE's self-driving kit (consisting of sensors, actuators, ECUs, networking and communication devices, power delivery etc.) into a base vehicle platform
  • Maintain integration design documentation
  • Be the “first responder” for vehicle issues
  • Triage vehicle issues hands-on, determine root cause and resolve
Qualifications
  • Hands-on experience in diagnosing automotive bus systems and working on vehicles (disassembling and assembling parts of the vehicle) and the ability to demonstrate high proficiency in these areas
  • 5+ Years of Experience in the relevant industry
  • Bachelor in Engineering field (Automotive, electric, IT, or similar) or equivalent experience
  • Experience with diverse automotive sensors incl. GPS, cameras, and LiDAR and automotive communication protocols such as CAN
  • Passionate about self-driving vehicles and robotics
  • Experience with state-of-the-art automotive bus analyzing tools (e.g. Vector CANoe/CANalyzer)
  • Exposure to Matlab/Simulink tooling and Linux
  • Worked with latest sensor technology for autonomous driving platforms incl. sensor calibrations
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