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Autonomous Driving Jobs in Texas (NOW HIRING)

Bot Auto

Onboard Infrastructure Engineer

Houston, TX

$102K - $134K/yr

We are looking for an Onboard Infrastructure Engineer to join our Autonomous Driving team. In this role, you will be responsible for developing and maintaining the onboard infrastructure that ...

Bot Auto

Onboard Infrastructure Engineer

Houston, TX · On-site

$102K - $134K/yr

We are looking for an Onboard Infrastructure Engineer to join our Autonomous Driving team. In this role, you will be responsible for developing and maintaining the onboard infrastructure that ...

Bot Auto

Senior Software Engineer, Build Tools

Houston, TX · On-site

$116K - $154K/yr

Responsibilities : • Design, develop, and maintain build & release pipelines for autonomous driving software packages • Architect and implement continuous integration and continuous deployment ...

Bot Auto

Senior Software Engineer, Build Tools

Houston, TX · On-site

$116K - $154K/yr

Responsibilities : • Design, develop, and maintain build & release pipelines for autonomous driving software packages • Architect and implement continuous integration and continuous deployment ...

Bot Auto

Senior Software Engineer, Build Tools

Houston, TX · On-site

$116K - $154K/yr

Responsibilities : • Design, develop, and maintain build & release pipelines for autonomous driving software packages • Architect and implement continuous integration and continuous deployment ...

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Autonomous Driving information

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How much do autonomous driving jobs pay per hour?

As of Jul 17, 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.
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

Lead Data Scientist, Autonomous Driving

Avride

Austin, TX • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Avride is focused on advancing autonomous driving technology and is seeking a Lead Data Scientist to build and lead their analytics function. The role involves evaluating technology performance, leading a team of analysts, and producing actionable insights through experimentation and data analysis.
Responsibilities:
• Understand the technology deeply. Go deep into autonomous driving technology across behavior and hardware. Evaluate platform health and system behavior, and define the right metrics and metric hierarchy to quantify technology quality.
• Help build and lead the team. Contribute to team formation, take part in hiring and leveling up analysts, and set direction for an evaluation focus area while collaborating with technology leaders and with teams that build data infrastructure and analytics tools.
• Be hands-on with experiments. Design, run, and interpret experiments using solid statistical methods. Be ready to analyze results yourself and translate them into well-supported decisions.
• Build and automate analysis. Collaborate with data engineers and backend developers to assemble datasets and productionize analysis pipelines that automate recurring computations with attention to performance and reliability.
Qualifications:
Required:
• 4+ years in analytics for a large-scale or complex technology product.
• Strong background in statistical reasoning and methods for evaluating change and uncertainty.
• Strong Python and SQL; you can independently run experiments and ship analyses and pipelines end to end.
• Proven technical leadership, mentoring, and hiring experience in analytics.
Preferred:
• Formal training in statistics (for example, MS or PhD in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field with rigorous statistical coursework).
• Familiarity with the modern data stack and experience in data engineering.
• Background in autonomy or other technologically intensive domains.
Company:
Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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