Are you passionate about pioneering the future of autonomous driving technology? Do you thrive in a dynamic environment where innovation is the norm? We're looking for an Embedded ADAS Developer who shares our vision of safer, smarter vehicles.
Key Responsibilities:
Algorithm Development and Software Realization: Utilize your expertise in embedded C, C , and Python to develop cutting-edge algorithms for advanced driver assistance systems (ADAS).
Software Design and Implementation: Leverage your experience in object-oriented environments to design and implement robust software solutions for autonomous systems.
Autonomous System Architecture: Demonstrate proficiency in designing and optimizing autonomous system architectures to enhance vehicle safety and performance.
Sensor Integration and Requirements: Apply your knowledge of perception and location tracking sensors, including RADAR, cameras, LiDAR, ultrasonic, and GPS, to seamlessly integrate these technologies into vehicle systems.
Decision Making and Motion Planning: Hands-on experience in Decision Making (Motion Planning), Perception, Mapping, Localization, and System Learning to develop vehicle-level behaviors and system capabilities.
Perception and Sensor Fusion: Specialize in perception-related areas such as optimization, sensor fusion, probabilistic filters (e.g., particle and/or Kalman filter), sensor processing, computer vision, point cloud processing, sensor registration, and calibration.
Machine Learning and Deep Learning: Apply your expertise in machine learning and deep learning algorithms to enhance the intelligence and adaptability of ADAS systems.
System Integration and Testing: Experience in system integration, testing, and verification on both system and vehicle levels to ensure seamless functionality and reliability.
Operating Systems and Tools: Proficient in operating systems like Linux and other real-time operating systems (RTOSs), along with experience in tools such as Robot Operating System (ROS) for efficient development and integration.
Simulation Platforms: Utilize simulation platforms and tools to model and test ADAS functionalities in virtual environments, ensuring robustness before deployment.
Hardware Interaction: Experience working with sensors and hardware components to understand their capabilities and limitations, optimizing system performance accordingly.
Analytical and Debugging Skills: Possess strong analytical and debugging skills to identify and resolve complex technical issues, ensuring the integrity and reliability of ADAS systems.
ADAS Engineer