Technical Lead

4 days ago

mumbai, India wowJobs Full time

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 .

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