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Senior Autonomous Driving Engineer information

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$59.5K

$126.6K

$183.5K

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

As of Jul 22, 2026, the average yearly pay for senior autonomous driving engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

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

AspectSenior Autonomous Driving EngineerAutonomous Vehicle Software Engineer
Required CredentialsBachelor's/Master's in Robotics, Computer Science, or related; experience in autonomous systemsBachelor's/Master's in Software Engineering, Computer Science; programming skills
Work EnvironmentResearch labs, automotive companies, tech firms developing autonomous systemsSoftware development teams, automotive or tech companies working on autonomous vehicle software
Industry UsageDesigning, testing, and integrating autonomous driving featuresDeveloping and maintaining software components for autonomous vehicles
Common Search/ComparisonYesYes

The Senior Autonomous Driving Engineer focuses on leading the development and integration of autonomous driving systems, requiring expertise in robotics and sensor integration. In contrast, the Autonomous Vehicle Software Engineer primarily develops software components for autonomous vehicles, emphasizing programming skills. Both roles are vital in autonomous vehicle development but differ in scope and responsibilities.

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What cities are hiring for Senior Autonomous Driving Engineer jobs? Cities with the most Senior 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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Senior Autonomous Driving Engineer jobs near you
Infographic showing various Senior Autonomous Driving Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Autonomous Driving Senior Vehicle Perception Engineer

Autonomous Driving Senior Vehicle Perception Engineer

Quest Global

Northville, MI • On-site

$95K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Job Requirements
Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.
We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we're eager to hear from you. The achievers and courageous challenge-crushers we seek, have the following characteristics and skills
What You will Do:
  • Design and implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS.
  • Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the accuracy and reliability of perception systems.
  • Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data.
  • Work on Simultaneous Localization and Mapping (SLAM) algorithms, including Graph SLAM, LIO-SAM, and visual-inertial SLAM.
  • Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors.
  • Participate in real-time systems design and optimization to meet the high-performance requirements of autonomous driving.
  • Work with ROS2 for integration and deployment of perception algorithms.
  • Develop, test, and deploy machine learning models for perception tasks such as object detection and segmentation.
  • Collaborate with cross-functional teams, including software engineers, data scientists, and hardware teams, to deliver end-to-end solutions.
  • Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.

What You Will Bring:
  • Minimum 3+ years of experience in sensor calibration, multi-sensor fusion, or related domains.
  • Strong foundation in linear algebra, 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.
  • Hands-on experience with intrinsic and extrinsic calibration of LiDAR, cameras, and radar, including geometric calibration, coordinate transforms, and sensor synchronization.
  • Proven experience with perception algorithms for autonomous systems, particularly in the areas of LiDAR, camera, radar, GNSS, or other sensor modalities.
  • Deep understanding of LiDAR technology, point cloud data structures, and processing techniques; experience with PCL or Open3D.
  • Proficiency in sensor fusion for combining data from LiDAR, camera, radar, and GNSS, including handling time synchronization and motion distortion.
  • Solid background in computer vision techniques; experience with OpenCV and object detection models such as YOLO, Faster R-CNN, or SSD.
  • Experience with deep learning frameworks (TensorFlow or PyTorch) for object detection and segmentation tasks.
  • Hands-on experience with multi-object tracking algorithms such as SORT, DeepSORT, Kalman Filters, UKF, IMM, or JPDA.
  • Strong programming skills in C++ and Python; familiarity with geometric optimization libraries.
  • Familiarity with ROS2 for perception-based autonomous systems development.
  • Experience with parallel computing for real-time performance optimization (e.g., CUDA, OpenCL).

Pay Range: $95,000-$140,000 a year
Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.
Work Requirements: This role is considered an on-site position located in Northville, MI, USA
  • You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.

Benefits
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Employer paid Life Insurance, Short- & Long-Term Disability

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