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Perception Engineer Jobs in Michigan (NOW HIRING)

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and world-understanding systems that directly ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and world-understanding systems that directly ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI

$100K - $132K/yr

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and worldunderstanding systems that directly influence ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and worldunderstanding systems that directly influence ...

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$11

$48

$70

How much do perception engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for perception engineer in Michigan is $48.80, according to ZipRecruiter salary data. Most workers in this role earn between $35.00 and $64.95 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a perception engineer?

As a Perception Engineer, your typical day involves designing, developing, and testing algorithms that help automated systems interpret sensor data from sources such as cameras, lidar, and radar. You’ll spend time collaborating with cross-functional teams, including hardware engineers and software developers, to integrate perception solutions into larger systems like autonomous vehicles or robotics platforms. Regular tasks include data collection and annotation, debugging, performance optimization, and participating in code reviews. This role often requires a balance of independent problem-solving and teamwork to ensure reliable and accurate perception capabilities in ever-changing environments.

What is a perception engineer?

A Perception Engineer develops and optimizes computer vision and sensor-based systems to help machines interpret and understand their surroundings. This role involves working with data from cameras, LiDAR, radar, and other sensors to create models for object detection, tracking, and scene understanding. Perception Engineers commonly work in fields like robotics, autonomous vehicles, and augmented reality, utilizing machine learning and signal processing techniques. Their goal is to enhance a system’s ability to perceive and react to its environment accurately and efficiently.

What are the key skills and qualifications needed to thrive in the perception engineer position, and why are they important?

To thrive as a Perception Engineer, you need a strong background in computer vision, sensor fusion, machine learning, and robotics, usually supported by a degree in electrical engineering, computer science, or a related field. Experience with programming languages like Python or C++, deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with tools like ROS and OpenCV are commonly required. Analytical thinking, problem-solving, and effective communication are valuable soft skills that set top candidates apart. These skills are crucial for developing and optimizing perception systems that enable machines to understand and interact with complex real-world environments.

What are the most commonly searched types of Perception Engineer jobs in Michigan? The most popular types of Perception Engineer jobs in Michigan are:
What are popular job titles related to Perception Engineer jobs in Michigan? For Perception Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Perception Engineer jobs in Michigan look for? The top searched job categories for Perception Engineer jobs in Michigan are:
What cities in Michigan are hiring for Perception Engineer jobs? Cities in Michigan with the most Perception Engineer job openings:
Perception Engineer jobs near you
Infographic showing various Perception Engineer job openings in Michigan as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $101,509 per year, or $48.8 per hour.

Autonomous Driving Vehicle Perception Engineer

Reveille Technologies

Northville, MI • On-site

Other

Posted yesterday

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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