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Remote Autonomous Driving Engineer Jobs (NOW HIRING)

Waymo

Hardware Reliability Engineer

Mountain View, CA · On-site +1

$144K - $177K/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 ...

AeroVect

Infrastructure Engineer

South San Francisco, CA · On-site +1

$129K - $169K/yr

If you have a passion for applying autonomous driving technologies to impact the flow of goods for millions of people, we want to talk to you! You will work closely with our engineering team across ...

Waymo

Electrical Engineer, Sensors

Mountain View, CA · On-site +1

$159K - $196K/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

OEM Platform Integration Engineer

Mountain View, 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

Systems Integration Engineer

Mountain View, CA · On-site +1

$159K - $196K/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

Senior Software Engineer, DevAI

San Francisco, CA · On-site +1

$213K - $263K/yr

Senior Software Engineer, DevAI Waymo is an autonomous driving technology company with the mission ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

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Remote Autonomous Driving Engineer information

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$59K

$137.3K

$196.5K

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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What job categories do people searching Remote Autonomous Driving Engineer jobs look for? The top searched job categories for Remote Autonomous Driving Engineer jobs are:
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.
Senior Software Engineer, ML Evaluation Infra and Efficiency

Senior Software Engineer, ML Evaluation Infra and Efficiency

Waymo

Mountain View, CA • On-site, Remote

$238K - $302K/yr

Other

Posted 28 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.

The Waymo ML Frameworks & Efficiency team partners closely with Research and Production teams across Waymo to develop and deploy models in Perception and Planning that are core to our autonomous driving software. We help our partners by offering the best frameworks for the entire model development lifecycle, including training and evaluation. They are geared towards both scaling models with efficiency and solving problems unique to ML for autonomous driving.

We are looking for engineers with ML system expertise to help us train, evaluate and improve pre-trained models to be deployed into Waymo Driver, and potential future products. You'll work closely with researchers and modeling engineers across the company, and tackle the challenges of different evaluation scenarios for Waymo drivers, building large-scale evaluation platforms that can scale across compute, data, and environments to improve model intelligence and alignment with human drivers.

You Will:

  • Design and build distributed evaluation platforms for large-scale ML evaluation workloads.

  • Profile evaluation platforms, identify performance bottlenecks (CPU, memory, I/O, network), and implement optimizations to improve inference speed and resource utilization.

  • Collaborate with ML engineers to understand evaluation requirements and scenarios, and improve DevX of the evaluation infrastructure.

  • Improve runtime goodput of ML inference workload and efficiency of metrics computations, ensuring scalability and reliability across distributed environments.

  • Implement and maintain advanced ML infrastructure tools, including ML Pathways, JAX, Flume and TensorFlow.

You Have:

  • B.S. in Computer Science, Math, or 3+ years equivalent real-world experience.

  • Proficient in distributed systems design with an understanding of ML efficiency.

  • Experience with ML frameworks, including TensorFlow, JAX, XLA.

  • Solid programming skills in Python and C++.

  • Practical familiarity with profiling tools to uncover performance bottlenecks.

We Prefer:

  • MS in Computer Science, Math

  • Familiarity with large-scale evaluation platforms for LLMs.

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
$238,000—$302,000 USD

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