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Remote Autonomous Driving Engineer Jobs (NOW HIRING)

Waymo

Systems Engineer, Driving Behaviors

San Francisco, CA · On-site +1

$158K - $200K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Software Reliability Engineer

San Francisco, CA · On-site +1

$175K - $215K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Software Reliability Engineer

Mountain View, CA · On-site +1

$175K - $215K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Talentry, LLC

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Machine Learning Guru (Autonomous Navigation)**

Houston, TX · Remote

$200K - $300K/yr

Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop solutions for autonomous driving, from experimentation to full commercialization. * Explore new ...

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Remote Autonomous Driving Engineer information

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$59K

$137.3K

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

As of Jun 7, 2026, the average yearly pay for remote autonomous driving engineer in the United States is $137,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $196,000.00 per year, depending on experience, location, and employer.

What are the unique challenges of collaborating with global teams as a Remote Autonomous Driving Engineer?

As a Remote Autonomous Driving Engineer, you'll frequently collaborate with cross-functional teams spanning different time zones and regions. This can present challenges such as coordinating meetings, managing asynchronous communication, and ensuring clear documentation of technical requirements. To succeed, it's essential to develop strong written communication skills and utilize collaborative tools for version control, code review, and project management. Building relationships with colleagues remotely also requires proactive engagement and regular check-ins to maintain alignment on project goals.

What is a Remote Autonomous Driving Engineer?

A Remote Autonomous Driving Engineer is a professional who designs, develops, tests, and implements software and systems that enable vehicles to operate without direct human control. These engineers often work remotely, using cloud-based tools and simulations to collaborate with teams and test autonomous driving algorithms. Their responsibilities may include sensor integration, perception modeling, path planning, and ensuring safety and compliance with industry standards. They play a key role in advancing self-driving technology by working on cutting-edge machine learning, computer vision, and robotics challenges.

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

AspectRemote Autonomous Driving EngineerRemote Autonomous Vehicle Software Developer
Required CredentialsEngineering degree, specialized in autonomous systems, certifications in robotics or AISoftware development background, experience with autonomous vehicle software, relevant certifications
Work EnvironmentCollaborates with hardware teams, field testing, simulation environmentsFocuses on coding, software testing, simulation, and integration
Industry UsageDesigns and tests autonomous driving systems, sensor integrationDevelops software components for autonomous vehicles, algorithms, and control systems

While both roles involve autonomous vehicle technology, the Remote Autonomous Driving Engineer focuses on system design, testing, and integration of autonomous driving systems, often working closely with hardware. The Remote Autonomous Vehicle Software Developer primarily concentrates on coding, software development, and simulation tasks within autonomous vehicle software platforms.

What are the key skills and qualifications needed to thrive as a Remote Autonomous Driving Engineer, and why are they important?

To thrive as a Remote Autonomous Driving Engineer, you need a strong background in robotics, computer vision, machine learning, and programming languages like Python or C++, often backed by a degree in engineering or computer science. Experience with simulation tools (e.g., ROS, CARLA), real-time data processing, and knowledge of automotive safety standards or certifications such as ISO 26262 are typically required. Excellent problem-solving skills, remote communication abilities, and adaptability are crucial soft skills for collaborating with distributed teams and addressing complex challenges. These competencies ensure the safe and efficient development of reliable autonomous driving systems in a remote work environment.
More about Remote Autonomous Driving Engineer jobs
What cities are hiring for Remote Autonomous Driving Engineer jobs? Cities with the most Remote Autonomous Driving Engineer job openings:
What are the most commonly searched types of Autonomous Driving Engineer jobs? The most popular types of Autonomous Driving Engineer jobs are:
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Remote Autonomous Driving Engineer jobs near you
Infographic showing various Remote Autonomous Driving Engineer job openings in the United States as of May 2026, with employment types broken down into 31% Full Time, 50% Part Time, and 19% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,309 per year, or $66 per hour.
Systems Engineer, Driving Behaviors

Systems Engineer, Driving Behaviors

Waymo

San Francisco, CA • On-site, Remote

$158K - $200K/yr

Other

Posted 16 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 the Manager of Systems Engineering, Driving Behaviors.

You will:

  • Collaborate with cross-functional teams to craft requirements that align with safety, regulatory, and product needs
  • Gather and analyze critical data to define metrics, qualify systems for release, and influence system design decisions based on evidence-based insights
  • Create and maintain clear, precise documentation to support system designs, decisions, and processes while ensuring alignment across teams
  • Drive strategic alignment and lead discussions around system design trade-offs, ensuring buy-in from stakeholders and fostering a collaborative team culture

You have:

  • Bachelor's or Master's degree in a relevant engineering or related field (e.g., Software Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Controls, Aerospace, etc.)
  • Demonstrated ability to tackle technical challenges, analyze cross-disciplinary problems, and propose innovative, maintainable solutions
  • Experience with data collection, statistical analysis, and developing metrics to support system evaluation or improvement
  • Strong skills in creating clear and concise technical documentation and effectively presenting complex ideas to diverse audiences
  • Proven ability to contribute to or lead cross-functional initiatives, driving alignment and ensuring stakeholder engagement throughout the development process
  • Proficiency with tools like Python, MATLAB, or similar for data analysis

We prefer:

  • Experience with large-scale system architecture, including integrating hardware and software systems in a regulated or safety-critical environment
  • Familiarity with leveraging machine learning models for system optimization or predictive analytics
  • Experience leading cross-team initiatives, including coordinating with external vendors or partners to deliver high-impact solutions
  • Proven track record of defining and implementing process improvements that enhance productivity, test coverage, or system reliability
  • Knowledge of automotive, robotics, or related industries, particularly in areas like safety systems, motion planning, or perception systems

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
$158,000—$200,000 USD

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