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Autonomous Driving Jobs (NOW HIRING)

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How much do autonomous driving jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for autonomous driving in the United States is $21.37, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.63 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.
More about Autonomous Driving jobs
What cities are hiring for Autonomous Driving jobs? Cities with the most Autonomous Driving job openings:
What states have the most Autonomous Driving jobs? States with the most job openings for Autonomous Driving jobs include:
What job categories do people searching Autonomous Driving jobs look for? The top searched job categories for Autonomous Driving jobs are:
Infographic showing various Autonomous Driving job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 65% Full Time, 32% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $44,459 per year, or $21.4 per hour.

Autonomous Driving System Safety Lead

Nuro

Mountain View, CA

$213K - $319K/yr

Full-time

Re-posted 25 days ago


Job description

Who We Are

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides.
Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.
With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.
Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.

About the Role

As the Autonomous Driving System Safety Lead on the Systems Engineering team, you will own and author safety claims in the forward-facing ADS safety case for onboard and offboard software, a large fraction of which is AI components. You will work closely with the autonomy software, data platform, operations, and legal teams to coordinate system requirements, AI architecture, and evidence in support of these claims. You will be responsible for ensuring that the cross-functional team creates a safety case for onboard and offboard software that is comprehensive and that potential gaps are identified and mitigated.

About the Work

  • Manage safety claims by understanding the ADS design, interfaces, and technical capabilities of the system and by working closely with Autonomy Robotics and Software Infrastructure leads.
  • Generate atomic claims through claim decomposition, delegating to the cross-functional teams where appropriate and managing quality where delegated.
  • Generate counter-arguments (challenges) to claims, and ensure that they are either addressed or mitigated.
  • Review and assess evidence from evaluation and validation as arguments for safety case claims, and by working closely with V&V test teams.
  • Develop processes for and coordinate the tracking of safety performance indicators, as available from various Systems Engineering and Software Evaluation teams, to monitor driverless (driver-out L4) deployment.
  • Escalate functional and technical risks, and missing work items such as test gaps, ADS design risks, and AI architecture insufficiencies to senior leadership and propose mitigations.
  • Support safety research, identify appropriate technical standards and best practices that support the safety case, and apply them effectively.
  • While this role starts as an individual contributor, there is opportunity to grow a team after the initially defined technical milestones.

About You

  • 5+ years of technical work experience in a relevant area, of which 3+ years should be in robotics software.
  • Bachelor's Degree, Master's Degree, or Doctoral Degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field.
  • Working knowledge of and ability to apply systems engineering concepts of requirements, verification, and validation, with a deep understanding of how robotic systems work.
  • Experience working in a safety-critical industry (e.g. robotics, automotive, aviation/aerospace, medical devices) for a complex robotic system.
  • Hands-on experience with ISO 21448 and familiarity with ISO 8800.
  • Highly collaborative in nature with strong abilities to think and communicate analytically and effectively, and the ability to build good working relationships.

Bonus Points

  • Background in autonomous vehicles ideally with L4 AV deployment.
  • Experience writing safety claims and system requirements for SAE L2/L3/L4 systems to operate safely.
  • Experience with ISO 8800.
  • Experience with naturalistic driving data and human benchmarking analysis.
  • Experience with simulation of autonomous vehicles applied to verification and validation.
  • Technical and strategic management experience with a small team.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $213,480 and $319,720 for the levels at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.