Technical Lead

7 days ago

Mumbai, Maharashtra, India wowJobs Full time ₹ 15,00,000 - ₹ 30,00,000 per year

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

  • 7–10 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 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)
    .

Personality / Fit

  • Strong mix of
    research depth + production mindset
    .
  • Comfortable with building and leading teams
  • Hands-on, but also strategic about roadmap and scaling.
  • Enjoys working at the interface of
    AI, embedded systems, and vehicle testing
    .

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