Technical 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

7–10 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) .

Personality / Fit

Strong mix of research depth + production mindset .

Comfortable with building and leading teams

Hands-on, but also strategic about roadmap and scaling.

Enjoys working at the interface of AI, embedded systems, and vehicle testing .