AMR Autonomous Control Perception System Development

Who we are We are a team that develop high-impact emerging logistics technologies to serve as the SDF logistics control tower and deploy these technologies across production plants.

Responsibilities This role is responsible for designing and developing real-time perception pipelines that enable AMRs to accurately detect and understand obstacles, objects, and surrounding environments within factory settings through 2D/3D LiDAR and camera-based environmental perception, sensor fusion, and 3D vision technologies.

■ Sensor Integration and Perception Pipeline Development

• Developing point cloud preprocessing and filtering algorithms (e.g., noise removal, downsampling, and ground removal)
• Developing multi-sensor fusion algorithms (including LiDAR-camera calibration and data fusion)

■ Object Detection and Tracking

• Developing object detection and classification models for pedestrians, obstacles, moving objects, and other relevant entities
• Implementing multi-object tracking (MOT) algorithms using approaches such as Kalman Filters, SORT, and ByteTrack
• Estimating 3D bounding boxes and object distance and velocity

■ Intelligent Perception Algorithm Development

• Developing collision prediction and risk assessment algorithms
• Distinguishing dynamic and static obstacles and performing trajectory prediction
• Developing deep learning-based semantic segmentation and instance segmentation models
• Applying few-shot and transfer learning techniques to ensure robustness against environmental changes

■ Training Data and Model Operations

• Designing on-site data collection frameworks and building annotation pipelines
• Designing model performance metrics—including mAP and precision/recall—and driving continuous model improvement
• Optimizing model compression and inference on edge devices, such as Jetson platforms and embedded GPUs, using TensorRT, ONNX, and INT8 quantization
• Optimizing algorithms using CUDA and GPU parallel processing and designing and optimizing multithreaded and multiprocess architectures

■ ROS 2-Based System Integration

• Developing ROS 2-based perception nodes and designing interfaces with navigation and planning modules
• Optimizing real-time processing performance and tuning latency

Minimum Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related discipline
• Minimum 5 years of experience in Perception or Computer Vision
• Proficiency in at least one of Python or C++, along with hands-on experience with ROS or ROS 2
• Those who have practical experience applying deep learning frameworks, such as PyTorch or TensorFlow
• Those who have development project using 3D LiDAR or RGB-D cameras
• Those who have experience using point cloud processing libraries, such as PCL or Open3D
• Those who have experience developing or applying object detection or tracking models, such as YOLO, PointPillars, or CenterPoint

Preferred Qualifications

• Those who have perception development experience in autonomous driving, logistics robotics, or industrial AMR environments
• Those who have experience developing perception systems integrated with SLAM, including dynamic environment perception
• Those who have experience developing 3D object detection systems based on LiDAR-camera sensor fusion
• Those who have experience developing safety-related perception algorithms, such as collision prediction and trajectory prediction
• Those who have experience optimizing TensorRT or ONNX inference in edge GPU environments, such as Jetson AGX or Orin
• Those who have experience designing dataset construction and annotation pipelines for training models using proprietary data
• Those who have research or development experience using public autonomous-driving datasets, such as KITTI, nuScenes, or Waymo
• Those who have publications in academic conferences or notable achievements in major AI competitions, such as CVPR, ICCV, ECCV, or NeurIPS

Others [Notes]

• In accordance with the employment protection laws, eligible candidates (disabled individuals, veterans, etc.) will receive preferential benefits during the process.
• Applications are accepted only through the Hyundai Motor Company career page, and any other methods are not allowed.
• Submitting your applications early prior to the deadline is recommended to prevent mass traffic and submission issues.
• Additional assignments may be given during the interview rounds, if necessary.
• The recruitment schedule may be adjusted depending on the progress of the recruitment process.
• The expected position level specified in the job description may change based on each individual's experience and evaluation results.
• For any inquiries on recruitment, please refer to the [FAQs] or submit a ticket through '1:1 Inquiries' on our webpage.

[Precautions]

• If any of the following conditions apply, your acceptance may be revoked, or you may be subject to disadvantages in the selection process:
• If the information submitted during the recruitment process (including the application form) differs or cannot be proven in documentation
• If you are ineligible to work under company regulations
• If you are ineligible to travel abroad (for men, Korean nationals who have not completed military service or are not exempt from military service by the joining date)
• If you are unable to join the company on the start date designated by the company upon receiving the final offer
• Our company respects the trade secrets of third parties and strives to comply with relevant laws and regulations, such as The Unfair Competition Prevention and Trade Secret Protection Act. Please be careful not to disclose any confidential information related to your former/current workplace or to violate the confidentiality obligation of your former/current workplace, during the recruitment process. Violation may result in disadvantage in the recruitment process.

Position: Manager, Senior Manager