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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 ...

Nvidia

OR · On-site

$125K - $172K/yr

At NVIDIA, we are seeking exceptional engineers to join our autonomous driving teamto design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass ...

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Full Time Autonomous Driving Engineer information

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$59K

$137.3K

$196.5K

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

As of Jun 7, 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 cities are hiring for Full Time Autonomous Driving Engineer jobs? Cities with the most Full Time 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:
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 May 2026, with employment types broken down into 1% Internship, 5% As Needed, 5% Full Time, 88% Part Time, and 1% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,309 per year, or $66 per hour.

Autonomous Driving Vehicle Perception Engineer

Quest Global

Northville, MI • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Quest Global rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

235th of 352 rated engineering

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: $80,000-$100,000 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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