Technical Lead
3 weeks ago
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 thefoundational technical leader , driving both hands-on development and team building.Key Responsibilities Computer Vision & Perception Development Design and implement perception algorithms forobject detection, tracking, lane detection, drivable area segmentation, and free space estimation . Develop multi-sensor fusion (camera + radar + LiDAR optional) for robust perception. Optimize algorithms forreal-time performanceon 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 withplanning & control teamsto 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 incomputer vision for ADAS, robotics, or autonomous driving . Strong expertise indeep learning for perception(detection, segmentation, tracking). Hands-on experience withCNNs, transformers, multi-task learning(PyTorch/TensorFlow). Background insensor calibration, camera models, and 3D geometry . Experience deploying ML models onembedded/edge hardware(TensorRT, ONNX, OpenVX). Strong programming skills inC++ and Python ; exposure to CUDA/OpenCL. Familiarity withautomotive development processes(ISO 26262, ASPICE, SOTIF).Preferred/Bonus Skills Experience withmulti-sensor fusion(camera + radar/LiDAR). Familiarity withSLAM, HD maps, or localization . Prior experience inADAS production programs(e.g., NCAP AEB, LKA). Simulation & validation experience (CARLA, IPG CarMaker, dSPACE). Exposure toactive safety testing protocols (Euro NCAP, US NCAP, AIS) .Personality / Fit Strong mix ofresearch depth + production mindset . Comfortable with building and leading teams Hands-on, but also strategic about roadmap and scaling. Enjoys working at the interface ofAI, embedded systems, and vehicle testing .
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