Lead - ADAS Computer Vision / Perception

Company Description

Liger Mobility is committed to transforming the two-wheeler experience by leveraging core sciences and IoT. Our vision focuses on creating unparalleled human-machine interactions for two-wheelers, which are crucial for daily commute in developing economies. We aim to bridge the technological gap seen in other consumer tech products and bring two-wheelers into the modern era.

Role Description

This is a full-time, on-site role for a Lead - ADAS Computer Vision / Perception role located in Mumbai.

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.