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Autonomous Driving System Engineer Jobs in Austin, TX

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 ... Experience with various software build systems (Bazel is a significant plus). * Understanding of ...

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

$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 ...

Tesla

AI Safety Operator

Austin, TX · On-site

$17.50 - $23.50/hr

The role involves driving an engineering vehicle for data collection and ensuring operational ... and Autonomous Driving Systems (ADS) Company : Tesla is an electric vehicle and clean energy ...

Graphcore

Principal System Debug Engineer

Austin, TX · On-site

Lead System Debug Engineer - Server & Rack Validation (Principal Level and Above) Position Overview ... driving system-level debug activities and facilitating rapid resolution of complex hardware ...

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Showing results 21-40

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 Aug 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 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 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 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 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,097 per year, or $60.6 per hour.

DevOps Engineer - Developer Tools

Avride

Austin, TX • On-site

$52.25 - $71.50/hr

Full-time

Re-posted 15 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.

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.

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