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Self Driving Car Jobs (NOW HIRING)

Ambarella

Algorithm engineer interns at Ambarella are responsible for developing highly efficient algorithms for our self-driving car and a wide variety of Ambarella's future products. Responsibilities:

Waymo

Commercial Counsel

Mountain View, CA · On-site

$251K - $310K/yr

Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving ...

Transdev

AV Instructor

Houston, TX · On-site

$28 - $34/hr

Provide rides in the self driving car to the general public. * Comply with Transdev's Autonomous Vehicle Division zero-tolerance policy regarding the use of alcohol or drugs by self-driving vehicle ...

Transdev

AV Instructor

Houston, TX

$28 - $34/hr

Provide rides in the self driving car to the general public. * Comply with Transdev's Autonomous Vehicle Division zero-tolerance policy regarding the use of alcohol or drugs by self-driving vehicle ...

Waymo

Systems Integration Engineer

Mountain View, CA · On-site

$159K - $196K/yr

Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving ...

Waymo

Senior Android Engineer

Mountain View, CA · On-site

$175K - $215K/yr

Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving ...

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How much do self driving car jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for self driving car in the United States is $14.00, according to ZipRecruiter salary data. Most workers in this role earn between $11.54 and $15.38 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working on self-driving car technology?

Professionals in the self-driving car industry often encounter challenges such as ensuring the safety and reliability of autonomous systems in diverse and unpredictable real-world environments. They must also address complex regulatory requirements, work collaboratively with multidisciplinary teams (including software engineers, hardware specialists, and data scientists), and keep up with rapid technological advancements. Effective communication and adaptability are key, as team members regularly iterate on solutions based on extensive testing and data analysis.

What is the difference between Self Driving Car vs Autonomous Vehicle Engineer?

AspectSelf Driving CarAutonomous Vehicle Engineer
CredentialsEngineering degrees, certifications in AI, roboticsEngineering degrees, specialized in AI, robotics, software development
Work EnvironmentTesting on roads, simulation labs, manufacturing plantsDesign, develop, and test autonomous systems in labs and field tests
Industry UsageManufacturers, tech companies developing self-driving techAutomotive, tech firms, startups creating autonomous systems

Self Driving Cars refer to the vehicles themselves, while Autonomous Vehicle Engineers are professionals who design and develop the technology enabling these vehicles to operate independently. The engineer's role involves creating the software, sensors, and algorithms that make self-driving cars possible.

What are the key skills and qualifications needed to thrive as an autonomous vehicle engineer, and why are they important?

To thrive as an Autonomous Vehicle Engineer, you need expertise in robotics, computer vision, machine learning, and strong programming skills (typically in C++, Python, or similar languages), along with a relevant engineering degree. Familiarity with tools like ROS (Robot Operating System), simulation platforms (e.g., CARLA, Gazebo), and certifications in autonomous systems or AI can be highly beneficial. Problem-solving ability, collaboration, and adaptability are crucial soft skills for innovating solutions and working in multidisciplinary teams. These skills ensure the safe, efficient, and reliable development of self-driving technologies in a rapidly evolving field.

What is a self-driving car?

Self-driving cars, also known as autonomous vehicles, are vehicles equipped with technology that allows them to navigate and operate without direct human control. These cars use a combination of sensors, cameras, radar, and artificial intelligence to detect their surroundings, follow traffic laws, and make driving decisions. The goal of self-driving technology is to improve road safety, reduce traffic accidents, and provide greater mobility for people who cannot drive. While fully autonomous vehicles are still being tested and developed, some modern cars already offer advanced driver-assistance features.

What companies are working on self-driving cars?

Several major companies are developing self-driving car technology, including Waymo, Tesla, Cruise, and Uber. These companies focus on autonomous vehicle systems, often involving advanced sensors, machine learning, and safety certifications to bring self-driving cars to market.
More about Self Driving Car jobs
What cities are hiring for Self Driving Car jobs? Cities with the most Self Driving Car job openings:
What states have the most Self Driving Car jobs? States with the most job openings for Self Driving Car jobs include:
What job categories do people searching Self Driving Car jobs look for? The top searched job categories for Self Driving Car jobs are:
Self Driving Car jobs near you
Infographic showing various Self Driving Car 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 $29,114 per year, or $14 per hour.

Senior Machine Learning Engineer, Driving Behaviors

Waymo

Mountain View, CA • On-site

$213K - $263K/yr

Full-time

Posted 12 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results.
This role follows a hybrid work schedule and reports to an Engineering Manager.
You will:
  • Lead ML model development end-to-end for safety critical driving behaviors to evaluate and enhance the performance, safety and scalability of our self driving system
  • Design experiments and assess results to make clear data-driven decisions
  • Find new ways to gather the required data needed to improve our models and improve data quality
  • Communicate benefits and limitations of new models and metrics to partner teams
  • Integrate and deploy metrics and models on fleet-wide data
  • Be able to operate on both tactical and strategic timescales

You have:
  • 5+ years ML modeling experience in production environments at large scale
  • Solid understanding of physics, geometry, and dynamics
  • Proficiency in C++ and Python
  • Ability to learn and utilize new frameworks quickly, employing AI tools or otherwise
  • Proven ability to work cross functionally with both Product and Engineering stakeholders

We prefer:
  • Experience working with ML models for autonomous systems
  • Proficiency in SQL

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$213,000-$263,000 USD

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