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.
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. Key Responsibilities: ● Provide technical support and expertise in designing automotive components. ● Collaborate with the design team to develop and modify 3D models, assemblies, and drawings. ● Conduct feasibility studies for part designs, considering functionality and manufacturing feasibility ● Support the development of proto manufacturing and final component fit and finish. ● Perform design validations, tolerance analysis, and simulations to ensure compliance with industry standards. ● Liaise with cross-functional teams, including engineers, manufacturers and suppliers, to coordinate design changes and improvements. ● Stay updated with emerging trends, technologies and best practices in automotive industries. Key Qualities Required ● Experience in Automotive Domain, especially 2-wheelers ● Proven experience in part design, preferably within the automotive industry. ● Proficiency in Solidworks software and other relevant design tools or software. ● Strong understanding of design principles, materials, and manufacturing processes. ● Experience in sheet metal, reverse engineering and simulation software (preferred) ● Knowledge of regulatory standards and requirements for automotive design. ● Have analytical thinking and problem-solving skills ● Experience in project management or working in cross-functional teams. ● Analyze Test Results and Adjust Design if Needed ● Develop Design Calculations ● Ensure Designs Meet Legal Guidelines and Safety Requirements ● Have knowledgeable of Machining and Fabrication Process ● Perform Equipment and System Calculations ● Product Validation Experience ● Provide Cost Estimates for Materials, Equipment, and/or Labor ● Research Materials for Future Design Opportunities and Usage ● Have sound Knowledge of Engineering Fundamentals ● Test Building Materials ● Troubleshoot Equipment to Solve Problems Technical Skills Required: ● Solidworks, Ansys ● MS Office, Email Optional Skills: ● Analysis
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) . 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 .
Key Responsibilities: Provide technical support and expertise in designing automotive components. Collaborate with the design team to develop and modify 3D models, assemblies, and drawings. Conduct feasibility studies for part designs, considering functionality and manufacturing feasibility Support the development of proto manufacturing and final component fit and finish. Perform design validations, tolerance analysis, and simulations to ensure compliance with industry standards. Liaise with cross-functional teams, including engineers, manufacturers and suppliers, to coordinate design changes and improvements. Stay updated with emerging trends, technologies and best practices in automotive industries. Key Qualities Required: Candidate should have Experience in Automotive Domain, especially 2-wheelers Proven experience in part design, preferably within the automotive industry. Proficiency in Solidworks software and other relevant design tools or software. Strong understanding of design principles, materials, and manufacturing processes. Experience in sheet metal, reverse engineering and simulation software (preferred) Knowledge of regulatory standards and requirements for automotive design. Have analytical thinking and problem-solving skills Experience in project management or working in cross-functional teams. Analyze Test Results and Adjust Design if Needed Develop Design Calculations Ensure Designs Meet Legal Guidelines and Safety Requirements Have knowledgeable of Machining and Fabrication Process Perform Equipment and System Calculations Product Validation Experience Provide Cost Estimates for Materials, Equipment, and/or Labor Research Materials for Future Design Opportunities and Usage Have sound Knowledge of Engineering Fundamentals Test Building Materials Troubleshoot Equipment to Solve Problems