ADAS Specialist

Required Qualifications

• Bachelor s or Master s degree in Computer Science, Robotics, Electrical Engineering, or related fields.
• 5+ years of experience in ADAS, robotics, or autonomous driving development.
• Proficiency in programming languages such as C++, Python, or MATLAB.
• Hands-on experience with perception tools and libraries (e. g. , OpenCV, ROS, PCL).
• Strong understanding of path planning algorithms (A*, RRT, MPC) and decision-making frameworks.
• Experience with sensor fusion techniques and working with LiDAR, radar, and camera systems.

Preferred Skills

• Familiarity with deep learning frameworks (TensorFlow, PyTorch) for perception and decision-making.
• Knowledg of automotive communication protocols (CAN, Ethernet) and middleware (ROS2, DDS).
• Experience with simulation platforms (CARLA, Gazebo, or PreScan).
• Understanding of functional safety and standards like ISO 26262 and SOTIF.
• Strong problem-solving skills and ability to work in fast-paced environments.

Key Responsibilities

Perception Development

• Develop and optimize algorithms for sensor fusion, object detection, classification, and tracking using data from cameras, LiDAR, radar, and other sensors.
• Design perception pipelines to handle dynamic environments, ensuring accurate environmental understanding.
• Implement real-time processing for sensor data and improve robustness under diverse driving conditions.

Behavior and Decision-Making

• Develop behavior planning algorithms for safe and efficient navigation in complex scenarios such as intersections, lane changes, and obstacle avoidance.
• Implement decision-making frameworks using techniques such as rule-based systems, machine learning, or reinforcement learning.
• Ensure compliance with driving policies, safety standards, and local traffic laws in algorithm design.

Trajectory Planning

• Design algorithms for trajectory generation, optimization, and execution that meet safety, comfort, and efficiency criteria.
• Integrate planned trajectories with vehicle control systems to ensure smooth driving performance.
• Optimize motion planning for real-time performance and scalability.

Testing and Validation

• Develop simulation scenarios to test and validate planning and perception algorithms under various conditions.
• Conduct on-road testing to refine algorithms and ensure robustness in real-world environments.
• Collaborate with testing teams to ensure ADAS features meet functional safety standards (e. g. , ISO 26262).

Collaboration and Integration

• Work closely with sensor, control, and software engineering teams to ensure seamless integration of ADAS modules.
• Collaborate with cross-functional teams to align on system-level requirements and design.
• Contribute to software architecture and system design for modularity and scalability.