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Autonomous Driving System Engineer Jobs in Austin, TX

Avride

Safety Driver

Austin, TX · On-site

$25/hr

We work closely with engineers and QA teams to bring cutting-edge technology safely to the real ... autonomous driving system. In addition to driving, you will support data collection and vehicle ...

Avride

Safety Driver

Austin, TX · On-site

$25/hr

We work closely with engineers and QA teams to bring cutting-edge technology safely to the real ... autonomous driving system. In addition to driving, you will support data collection and vehicle ...

Avride

Safety Driver

Austin, TX · On-site

$25/hr

We work closely with engineers and QA teams to bring cutting-edge technology safely to the real ... autonomous driving system. In addition to driving, you will support data collection and vehicle ...

Avride

Safety Driver

Austin, TX · On-site

$25/hr

We work closely with engineers and QA teams to bring cutting-edge technology safely to the real ... autonomous driving system. In addition to driving, you will support data collection and vehicle ...

Avride

Safety Driver

Austin, TX · On-site

$25/hr

We work closely with engineers and QA teams to bring cutting-edge technology safely to the real ... autonomous driving system. In addition to driving, you will support data collection and vehicle ...

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All JobsAutonomous Driving System Engineer JobsAutonomous Driving System Engineer Jobs in Austin, TX

Autonomous Driving System Engineer information

See Austin, TX salary details

$53K

$126.1K

$165.5K

How much do autonomous driving system engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for autonomous driving system engineer in Austin, TX is $126,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $155,600.00 per year, depending on experience, location, and employer.

What does an autonomous driving system engineer do?

An Autonomous Driving System Engineer is responsible for designing, developing, and testing the software and hardware systems that enable vehicles to drive themselves. They work on integrating sensors, such as cameras and lidar, with algorithms for perception, localization, planning, and control to ensure safe and reliable autonomous operation. These engineers collaborate with multidisciplinary teams to validate system performance, address safety concerns, and continually improve the technology. Their work is crucial in advancing self-driving vehicles from prototypes to real-world deployment.

What are the key skills and qualifications needed to thrive as an autonomous driving system engineer?

To thrive as an Autonomous Driving System Engineer, you need a strong background in computer science, robotics, or electrical engineering, with expertise in algorithms, perception, and control systems. Familiarity with technical tools such as ROS (Robot Operating System), Python/C++, sensor fusion frameworks, and experience with simulation platforms or automotive standards like ISO 26262 is typically required. Strong problem-solving abilities, effective teamwork, and clear communication distinguish top performers in this field. These skills ensure the safe, reliable, and innovative development of autonomous vehicle technologies in a rapidly evolving industry.

How do autonomous driving system engineers typically collaborate with cross-functional teams during the development process?

Autonomous Driving System Engineers frequently work alongside specialists in hardware, software, perception, mapping, and vehicle integration. Collaboration is essential, as engineers must coordinate with sensor experts, AI developers, and safety teams to ensure all system components function reliably together. Regular meetings, integration testing sessions, and shared development platforms are common to keep everyone aligned. This collaborative environment fosters innovation and ensures that system updates and new features are rigorously tested before deployment.

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

AspectAutonomous Driving System EngineerAutonomous Vehicle Software Engineer
CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with sensor integration and control systemsBachelor's or Master's in Software Engineering, Computer Science; focus on software development and algorithms
Work EnvironmentResearch labs, automotive companies, tech firms working on autonomous systemsSoftware development teams within automotive or tech companies
Industry UsageDesigning and integrating autonomous driving systems and hardwareDeveloping software components for autonomous vehicles

The Autonomous Driving System Engineer focuses on integrating hardware and developing control systems for autonomous vehicles, while the Autonomous Vehicle Software Engineer primarily develops software algorithms and applications. Both roles often collaborate but differ in their core responsibilities and skill sets.

Autonomous Driving System Engineer jobs near you
Infographic showing various Autonomous Driving System Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,097 per year, or $60.6 per hour.

Lead Data Scientist, Autonomous Driving

Austin, TX • On-site

Avride
See more jobs at Avrideexternal

Full-time

Re-posted 1 hour 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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