Perception Engineer

Job Title: Perception Engineer

Location: Detroit MI

Duration: / Term: 6 months Contract

Job Description:

Experience Desired: 03 Years.

Qualification:

We are looking for a skilled Perception Engineer to join a cutting-edge autonomous systems team working on advanced vehicle perception technologies. If youre passionate about building systems that enable machines to see and understand the world this role is for you.

Responsibilities:

• 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.
• Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors.
• Develop robust perception algorithms that maintain performance in adverse weather conditions such as rain snow fog and low-light scenarios.
• 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 tracking.
• Collaborate with cross-functional teams to integrate perception algorithms into larger autonomous systems.
• Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.
• 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 tracking 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).

Key Skills:

Sensor Fusion LiDAR Computer Vision Object Detection Tracking PyTorch TensorFlow ROS2 C Python