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.Skills Required
Tensorflow, Pytorch, Adas, Python