Technical Lead

1 week ago


Mumbai, India WowJobs Full time

Lead - ADAS Computer Vision / PerceptionRole 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). (ref:hirist.tech)


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