ADAS - Technical Lead - Computer Vision

2 weeks ago


Mumbai City District, India WOW Softech Full time ₹ 8,00,000 - ₹ 20,00,000 per year

Position: Technical Lead - ADAS Computer Vision / Perception

Location: Andheri East, Mumbai

Experience: 7-10 Years (must have experience in ADAS)

Education: Bachelors / Masters in similar

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.

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).

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