Junior Perception Engineer

Purpose of the Job:Contribute to the development, testing, and optimization of perception algorithms for Brightskies’s Level 3 and Level 4 autonomous driving systems, with strong hands-on coding skills in C++ and Python for multi-sensor environmental perception.Responsibilities and Duties:Develop and refine algorithms for 2D/3D object detection, classification, tracking, and segmentation using LiDAR, camera, radar, and ultrasonic data.Implement multi-sensor fusion methods.Assist in the integration of perception models into real-time embedded processing pipelines.Perform model training, evaluation, and optimization to improve accuracy and efficiency.Contribute to sensor calibration and synchronization procedures.Execute perception modules in both simulation and real-world environments, logging and analyzing results.Conduct data preprocessing, cleaning, and annotation validation for model development.Apply model optimization techniques such as quantization and TensorRT deployment.Participate in code reviews, debugging, and CI/CD pipeline integration.Keep up to date with perception-related research, frameworks, and tools.Education:Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.Experience:0–3 years of experience in computer vision, perception, or machine learningProficiency in both C++ (modern standards) and Python for algorithm implementation and integration.Solid understanding of LiDAR, camera, radar, and ultrasonic sensor data formats and processing methods.Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) for perception tasks.Familiarity with ROS / ROS2 and real-time system constraints.Knowledge of probabilistic state estimation (e.g., Kalman filters) and basic tracking algorithms.Experience working with datasets for perception model training and validation.Additional:Proficient with Git, Linux development environments, and Agile workflows.Familiarity with GStreamer or similar high-throughput streaming frameworks is a plus.Exposure to embedded deployment workflows and GPU acceleration is an advantage.Strong interest in autonomous vehicle technology and real-time robotics applications.Skills and Abilities:Programming: C++17/20, Python 3.x (strong coding ability required)Frameworks & Libraries: ROS, ROS2, TensorFlow, PyTorch, OpenCV, PCLSensors: LiDAR, camera, radar, ultrasonicOptimization Tools: TensorRT, CUDA (basic usage)Version Control: Git, GitLab/GitHubSoft Skills: Problem-solving, adaptability, attention to detail, ability to work in a collaborative team