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Technical Lead - ADAS / Computer Vision

Technical Lead - ADAS / Computer Vision

WowJobsMumbai
1 day ago
Job description

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 :

  • 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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