ADAS - Technical Lead - Computer Vision

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Role Summary

ADAS

Key Responsibilities

Computer Vision & Perception Development

• Design and implement perception algorithms for object detection, tracking, lane detection, drivable area segmentation, and free space estimation.
• Develop multi-sensor fusion (camera + radar + LiDAR optional) for robust perception.
• Optimize algorithms for real-time performance on automotive-grade hardware (NVIDIA, Qualcomm, Renesas, TI etc.).
• Ensure perception pipeline robustness under diverse lighting, weather, and road conditions.

System & Integration

• Define perception requirements and KPIs aligned with ADAS features and NCAP regulations.
• Work closely with planning & control teams to ensure perception outputs meet latency and accuracy needs.
• Integrate with embedded software frameworks (ROS2, AUTOSAR, middleware).
• Collaborate with vehicle integration engineers for sensor calibration and validation.

Required Qualifications

• 710 years of experience in computer vision for ADAS, robotics, or autonomous driving.
• Strong expertise in deep learning for perception (detection, segmentation, tracking).
• Hands-on experience with CNNs, transformers, multi-task learning (PyTorch/TensorFlow).
• Background in sensor calibration, camera models, and 3D geometry.
• Experience deploying ML models on embedded/edge hardware (TensorRT, ONNX, OpenVX).
• Strong programming skills in C++ and Python; exposure to CUDA/OpenCL.
• Familiarity with automotive development processes (ISO 26262, ASPICE, SOTIF).