Technical Lead
2 days ago
Role SummaryWe 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 ResponsibilitiesComputer Vision & Perception DevelopmentDesign 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 & IntegrationDefine 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 & RoadmapBuild 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 Qualifications7–10 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 SkillsExperience 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 / FitStrong mix of research depth + production mindset.Comfortable with building and leading teamsHands-on, but also strategic about roadmap and scaling.Enjoys working at the interface of AI, embedded systems, and vehicle testing.
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