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Autonomous Driving Jobs in Texas (NOW HIRING)

Avride

DevOps Engineer - Developer Tools

Austin, TX · On-site

$52.25 - $71.50/hr

About the team Our company is at the forefront of developing cutting-edge autonomous driving technology. Behind this innovation is a large-scale software project driven by a huge team of developers.

Actalent

Embedded Triage Engineer

Fort Worth, TX

Experience with ADAS or autonomous technologies, including autonomous driving, sensor fusion, and perception systems (e.g., lidar and related sensor technologies). * Familiarity with triaging issues ...

Kett Engineering Corporation

Autonomous CDL A Driver

TX · On-site

$27 - $30/hr

Conducts test driving per customer test specifications. Performs total vehicle testing as well as ... Safely operate and oversee autonomous commercial vehicles on designated test routes, intervening or ...

Bot Auto

GPU Engineer

Houston, TX · On-site

Optimize end-to-end GPU performance for real-time autonomous driving workloads , including sensor processing (e.g., camera, LiDAR) and neural network inference. * Develop and optimize parallel ...

Bot Auto

GPU Engineer

Houston, TX · On-site

Optimize end-to-end GPU performance for real-time autonomous driving workloads , including sensor processing (e.g., camera, LiDAR) and neural network inference. * Develop and optimize parallel ...

Waabi

Lead Product Manager, Autonomy

Dallas, TX

$165K - $260K/yr

Perception, Prediction, Motion Planning, Localization) and the nuances of autonomous driving operations. - Experience defining operational boundaries and safety validation milestones to drive the ...

Waabi

Lead Product Manager, Autonomy

Dallas, TX · On-site

$165K - $260K/yr

Perception, Prediction, Motion Planning, Localization) and the nuances of autonomous driving operations. - Experience defining operational boundaries and safety validation milestones to drive the ...

Avride

DevOps Engineer - Developer Tools

Austin, TX · On-site

$52.25 - $71.50/hr

About the team Our company is at the forefront of developing cutting-edge autonomous driving technology. Behind this innovation is a large-scale software project driven by a huge team of developers.

TRUCKING PEOPLE

Driver Tester for Robotaxi

Dallas, TX · On-site

$24 - $26/hr

On-Site Join the Future of Autonomous Driving AVride, in partnership with HireArt and Uber, is hiring professional Safety Drivers to support real-world autonomous vehicle testing and live passenger ...

TRUCKING PEOPLE

Driver Tester for Robotaxi

Dallas, TX · On-site

$24 - $26/hr

On-Site Join the Future of Autonomous Driving AVride, in partnership with HireArt and Uber, is hiring professional Safety Drivers to support real-world autonomous vehicle testing and live passenger ...

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All JobsAutonomous Driving JobsAutonomous Driving Jobs in Texas

Autonomous Driving information

See Texas salary details

$5

$19

$36

How much do autonomous driving jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for autonomous driving in Texas is $19.91, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.14 per hour, depending on experience, location, and employer.

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 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 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 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.

Which car companies offer autonomous driving?

Several major car manufacturers offer autonomous driving features, including Tesla, General Motors (with its Super Cruise system), Ford, BMW, Mercedes-Benz, and Volvo. These companies develop and deploy varying levels of driver-assistance technologies, often requiring specialized skills in software, sensors, and safety standards for autonomous vehicle development.
What are popular job titles related to Autonomous Driving jobs in Texas? For Autonomous Driving jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Autonomous Driving jobs in Texas look for? The top searched job categories for Autonomous Driving jobs in Texas are:
What cities in Texas are hiring for Autonomous Driving jobs? Cities in Texas with the most Autonomous Driving job openings:
Autonomous Driving jobs near you
Infographic showing various Autonomous Driving job openings in Texas as of August 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $41,421 per year, or $19.9 per hour.

DevOps Engineer - Developer Tools

Avride

Austin, TX • On-site

$52.25 - $71.50/hr

Full-time

Re-posted 17 days ago

Job description

About the team

Our company is at the forefront of developing cutting-edge autonomous driving technology. Behind this innovation is a large-scale software project driven by a huge team of developers. Our team plays a critical role in empowering these developers by providing the tools and infrastructure they need to work efficiently. We focus on streamlining the development experience through fast, reliable CI/CD pipelines and up-to-date software. Our work ensures that new features and bug fixes are delivered to our autonomous vehicles quickly and seamlessly.

About the role

We are seeking an Engineer to join our efforts in improving autonomous driving technology development experience. You will be improving CI/CD processes in our large mono-repository and development tools used there. You will also help debugging build issues, adding and updating third-party packages, optimize build and deployment speed.

What you'll do
  • Improve developer tooling and infrastructure to boost efficiency and ease of use.
  • Collaborate with development teams to debug complex build and deployment issues in a large-scale monorepo.
  • Continuously optimize build and deployment performance to accelerate the development lifecycle.
  • Design, implement, and maintain our CI/CD pipelines to ensure fast and reliable delivery of software to our autonomous vehicles.
  • Implement observability for CI/CD processes, including both infrastructure and code quality metrics.
  • Manage and streamline the process of updating and integrating third-party software packages.
  • Embed DevSecOps practices - vulnerability scanning, secret detection, enforce security policies.
  • Define, instrument and monitor SLOs and engineering productivity metrics; drive continuous improvements.
What you'll need
  • 3+ years experience in commercial software development.
  • Proficiency in coding in Python or Go at a middle developer level.
  • Experience with various software build systems (Bazel is a significant plus).
  • Understanding of dynamic linking and its importance in software packaging.
  • Familiarity with DevOps practices, including CI/CD processes on GitHub.
  • Experience of packaging open-source software for specific distributions.
Nice to have
  • Knowledge of Linux package management, Nix in particular.
  • Proficiency in coding and debugging C++ software.
  • Experience using Kubernetes at a user level, with the ability to deploy applications and diagnose issues.
  • Ability to design and implement observability for CI/CD, covering both infrastructure and code quality.
  • Basic understanding of network protocols to triage infrastructure issues.

Apply