Technical Lead - ADAS/Computer Vision

Lead - ADAS Computer Vision / Perception

Role Summary :

We are looking for a senior Computer Vision / Perception expert for ADAS perception team. This role will be responsible for developing camera-based perception algorithms, building sensor fusion capabilities, and creating scalable pipelines that enable advanced driver assistance features. The candidate will act as the foundational technical leader, driving both hands-on development and team building.

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.

Leadership & Roadmap :

- Build and mentor a team of computer vision and ML engineers.

- Define a scalable perception roadmap (from L1/L2 to L2+ features).

- Drive data collection, labeling, and dataset curation strategies.

- Collaborate with external partners, Tier-1 suppliers, and research labs.

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).

Preferred/Bonus Skills :

- Experience with multi-sensor fusion (camera + radar/LiDAR).

- Familiarity with SLAM, HD maps, or localization.

- Prior experience in ADAS production programs (e.g., NCAP AEB, LKA).

- Simulation & validation experience (CARLA, IPG CarMaker, dSPACE).

- Exposure to active safety testing protocols (Euro NCAP, US NCAP, AIS).