ZipRecruiter

Log In

2

Full Time Autonomous Driving Engineer Jobs (NOW HIRING)

AeroVect

Staff Autonomy Engineer

San Francisco, CA

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! We are looking for a Staff Engineer who knows how to ...

AeroVect

Staff Autonomy Engineer

San Francisco, CA · On-site

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! We are looking for a Staff Engineer who knows how to ...

next page

Showing results 1-20

All JobsFull Time Autonomous Driving Engineer Jobs

Full Time Autonomous Driving Engineer information

See salary details

$59K

$137.3K

$196.5K

How much do full time autonomous driving engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for full time 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 key skills and qualifications needed to thrive as a Full Time Autonomous Driving Engineer, and why are they important?

To thrive as a Full Time Autonomous Driving Engineer, you need strong expertise in computer science, robotics, and machine learning, typically supported by a degree in engineering or a related field. Familiarity with tools like ROS (Robot Operating System), C++, Python, and experience with sensor fusion, perception algorithms, and autonomous vehicle simulation systems is essential. Strong problem-solving skills, teamwork, and effective communication are crucial soft skills for success in this role. These skills ensure the development of safe, reliable, and innovative autonomous driving systems in a rapidly evolving industry.

What is the difference between Full Time Autonomous Driving Engineer vs Autonomous Vehicle Software Engineer?

AspectFull Time Autonomous Driving EngineerAutonomous Vehicle Software Engineer
Required CredentialsBachelor's or Master's in Computer Science, Robotics, or Electrical Engineering; experience in autonomous systemsSimilar credentials; focus on software development for autonomous systems
Work EnvironmentResearch labs, automotive companies, tech firms working on autonomous vehiclesSoftware development teams, automotive or tech companies, often in collaborative environments
Industry UsageUsed broadly in autonomous vehicle development projectsPrimarily in software development for autonomous systems within automotive industry

Both roles require similar educational backgrounds and work environments, focusing on autonomous vehicle technology. The main difference lies in scope: Full Time Autonomous Driving Engineers often oversee entire systems, while Autonomous Vehicle Software Engineers focus specifically on software components.

What are some of the main challenges faced by Full Time Autonomous Driving Engineers in ensuring the safety and reliability of self-driving systems?

Full Time Autonomous Driving Engineers often encounter challenges related to ensuring the safety and reliability of autonomous vehicles in unpredictable real-world conditions. This involves integrating complex sensor data, handling edge cases that are rare but critical, and maintaining robust testing and validation processes. Engineers must also collaborate closely with software, hardware, and testing teams to address issues like sensor calibration, perception errors, and decision-making logic. Staying updated with regulatory standards and adapting systems to new environments are additional ongoing challenges in this rapidly evolving field.

What does a Full Time Autonomous Driving Engineer do?

A Full Time Autonomous Driving Engineer designs, develops, and tests systems that enable vehicles to drive themselves safely and efficiently. Their work often involves integrating sensors, creating algorithms for perception and decision-making, and collaborating with multidisciplinary teams to ensure system reliability. They may also work on simulation, data analysis, and software updates to improve autonomous functionalities and comply with safety standards. The role requires strong skills in programming, robotics, and machine learning, as well as a deep understanding of automotive technologies.
More about Full Time Autonomous Driving Engineer jobs
What are the most commonly searched types of Autonomous Driving Engineer jobs? The most popular types of Autonomous Driving Engineer jobs are:
What job categories do people searching Full Time Autonomous Driving Engineer jobs look for? The top searched job categories for Full Time Autonomous Driving Engineer jobs are:
Full Time Autonomous Driving Engineer jobs near you
Infographic showing various Full Time Autonomous Driving Engineer job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $137,309 per year, or $66 per hour.
Machine Learning Engineer II - Autonomous Driving Training Infrastructure

Machine Learning Engineer II - Autonomous Driving Training Infrastructure

May Mobility

Remote

$110K - $144K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Key responsibilities

  • Own the process to transition Autonomous Driving ML models from concept to commercial scale.

  • Architect and operate data, training and evaluation pipelines across cloud and cluster environments.

  • Design and maintain the data and metadata stores that back training and evaluation workflows.

Job description

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.
Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 500,000 autonomous rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
Job Summary
May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles.
We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use your knowledge of Software and ML concepts to design and operate pipelines that allow May's Autonomous Driving stack to improve quickly and reliably at scale.
Essential Responsibilities
  • Own the process to transition Autonomous Driving ML models from concept to commercial scale.
  • Architect and operate data, training and evaluation pipelines across cloud and cluster environments.
  • Design and maintain the data and metadata stores that back our training and evaluation workflows.
Skills and Abilities
Success in this role typically requires the following competencies:
  • Employ data and model parallelism training techniques for large data (>100TB) or large model (>100GB) applications
  • Architecting and operating containerized/pipelined ML Training workloads, including GPU scheduling/autoscaling, dataloader design and experiment tracking.
  • Building and maintaining CI/CD pipelines and infrastructure.
  • Working with relational and object stores, and high-throughput data formats for ML workloads.
Qualifications and Experience
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required
  • Bachelor's or Master's degree in Robotics, Computer Science or a related field with strong mathematical and engineering foundations.
  • A minimum of 2 years building ML-oriented infrastructure, platforms, or distributed systems in production.
  • Proficiency in C++, Python and PyTorch with experience in Linux environments.
  • Familiarity with basic concepts in Machine Learning (training loops, basic operators and architectures)

Desirable
  • Familiarity with basic Perception and Planning concepts in Autonomous Driving.
  • Proficiency in Go or Rust.
  • Familiarity with ML orchestration and experiment tooling such as Ray, Kubeflow, Airflow, MLflow, or Weights & Biases.
  • Familiarity with distributed training frameworks (PyTorch DDP/FSDP, DeepSpeed).
  • Familiarity with data pipeline and storage technologies (Spark, Parquet, object storage, feature/metadata stores).
Physical Requirements
  • Standard office working conditions which includes but is not limited to:
    • Prolonged sitting
    • Prolonged standing
    • Prolonged computer use

Travel required? - Low 5-10%
Benefits and Perks
  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work.
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeing

Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
Salary Range
$160,000-$210,000 USD

Apply