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Autonomous Vehicle Jobs in Michigan (NOW HIRING)

JSAN Consulting Inc

AV Safety Operator

Detroit, MI · On-site

$21.50 - $27/hr

Key Responsibilities Vehicle Operation & Safety Safely operate autonomous vehicles in both manual and autonomous modes in a variety of urban, suburban, and highway environments. Maintain full ...

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How much do autonomous vehicle jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for autonomous vehicle in Michigan is $20.84, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $22.84 per hour, depending on experience, location, and employer.

What is the difference between Autonomous Vehicle vs Autonomous Vehicle Technician?

AspectAutonomous VehicleAutonomous Vehicle Technician
Required CredentialsEngineering degrees, certifications in AI, robotics, or automotive systemsTechnical certifications, hands-on training in vehicle systems and diagnostics
Work EnvironmentResearch labs, automotive companies, testing facilitiesVehicle service centers, manufacturing plants, testing sites
Employer & Industry UsageAutomotive manufacturers, tech companies, research institutionsAutomotive service providers, dealerships, testing agencies

Autonomous Vehicles are advanced systems that operate without human input, requiring expertise in AI and robotics. Autonomous Vehicle Technicians focus on maintaining, diagnosing, and repairing these vehicles, often working directly with the hardware and software components. While both roles are integral to autonomous vehicle development and deployment, they differ in their focus—one on system design and development, the other on hands-on technical support.

What are some common challenges faced by professionals working in autonomous vehicle development teams?

Professionals in autonomous vehicle development often encounter challenges such as integrating complex sensor data, ensuring reliable software performance in unpredictable environments, and adhering to strict safety standards. Collaboration is essential, as teams are typically multidisciplinary, involving software engineers, robotics experts, and data scientists working closely together. Additionally, staying updated with evolving regulations and rapidly changing technology demands a commitment to continuous learning and adaptability.

What are the key skills and qualifications needed to thrive as an autonomous vehicle engineer, and why are they important?

To thrive as an Autonomous Vehicle Engineer, you need a strong background in robotics, computer vision, sensor integration, and software development, usually supported by a degree in engineering, computer science, or a related field. Familiarity with tools and systems like ROS (Robot Operating System), machine learning frameworks (such as TensorFlow or PyTorch), and automotive simulation platforms is essential, and certifications in safety standards like ISO 26262 are often valued. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and ensuring safety. Mastery of these skills ensures the reliable development, testing, and deployment of autonomous vehicle systems in a rapidly evolving industry.

What is an autonomous vehicle?

Autonomous vehicles, also known as self-driving cars or driverless vehicles, are vehicles equipped with technology that allows them to navigate and operate without direct human input. These vehicles use a combination of sensors, cameras, radar, artificial intelligence, and machine learning to perceive their surroundings and make driving decisions. The goal is to increase safety, reduce human error, and create more efficient transportation systems. Autonomous vehicles range from those with partial automation (such as advanced driver assistance systems) to fully autonomous models that do not require a human driver at all.

What are autonomous vehicle jobs?

Autonomous vehicle jobs include a variety of positions based on mechanical engineering and software integration for self-driving vehicles. Someone in this field may help build an assembly line, use robot systems to minimize the risk of human error in production, or help program the operations of a self-driving car. This frequently involves monitoring, engineering, or managing a control system within a vehicle as well as each sensor placed within the vehicle. Companies are continually testing new ideas and techniques to check them for viability—as such, autonomous vehicle jobs require flexibility and the ability to adapt to new technology.

More about Autonomous Vehicle jobs
What are the most commonly searched types of Autonomous Vehicle jobs in Michigan? The most popular types of Autonomous Vehicle jobs in Michigan are:
What are popular job titles related to Autonomous Vehicle jobs in Michigan? For Autonomous Vehicle jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Autonomous Vehicle jobs in Michigan look for? The top searched job categories for Autonomous Vehicle jobs in Michigan are:
What cities in Michigan are hiring for Autonomous Vehicle jobs? Cities in Michigan with the most Autonomous Vehicle job openings:
Autonomous Vehicle jobs near you
Infographic showing various Autonomous Vehicle job openings in Michigan as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Nights. Highlights an 100% In-person job distribution, with an average salary of $43,340 per year, or $20.8 per hour.

Autonomous Driving Vehicle Perception Engineer

Reveille Technologies

Northville, MI • On-site

Other

Posted 2 days ago

New

Job description

ONLY FULLTIME NO CONTRACT

Job Title: Autonomous Driving Vehicle Perception Engineer

Location: Northville, MI (Onsite)

Type: Full-time

About the Role

We are seeking an experienced Perception Engineer to design, build, and deploy real-time perception and multi-sensor fusion algorithms for next-generation autonomous driving systems across LiDAR, camera, radar, and GNSS modalities.

Key Responsibilities

  • Algorithms & Models: 3D Object Detection, Multi-Object Tracking, Semantic Segmentation, Machine Learning (PyTorch, TensorFlow, YOLO, Faster R-CNN, DeepSORT).

  • Localization & SLAM: Graph SLAM, LIO-SAM, Visual-Inertial SLAM, Point Cloud Processing (PCL, Open3D).

  • Sensor Fusion & Calibration: Intrinsic & Extrinsic Calibration, Multi-Sensor Fusion (LiDAR, Camera, Radar, GNSS), Coordinate Transformations, Time Synchronization.

  • System Integration & Optimization: ROS2, C++, Python, Real-Time Systems, Parallel Computing (CUDA, OpenCL).

Key Requirements

  • Experience: 3+ years in sensor calibration, multi-sensor fusion, or autonomous vehicle perception.

  • Core Fundamentals: Strong background in 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.

  • Tech Stack: High proficiency in C++ and Python; hands-on experience with ROS2 and computer vision libraries (OpenCV, PCL, or Open3D).

  • Deep Learning & Tracking: Experience with PyTorch/TensorFlow, object detection models (YOLO, Faster R-CNN), and tracking algorithms (Kalman Filters, DeepSORT, UKF).

  • Optimization: Familiarity with parallel computing platforms (CUDA/OpenCL) for real-time performance.

Thanks and Regards,

Praveenkumar

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