Technical Lead - Computer Vision

5 - 9 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an experienced Architect specialising in Computer Vision software for a company in Navi Mumbai, your role will involve designing robust software architectures, integrating advanced algorithms, and optimizing solutions for real-world UAV applications like Vision based UAV navigation, object detection/tracking, obstacle avoidance, etc. You will be required to process not only camera data but also other sensor inputs like radar, inertial, GPS, etc., and prior experience in developing multi-modal architectures for applications such as Advanced Driver Assistance Systems (ADAS), Robotics, or UAVs would be highly preferred. **Key Responsibilities:** - Lead the incorporation of advanced DL/CV algorithms into the system architecture. - Stay updated with the latest trends and innovations in computer vision technology. - Develop and articulate a clear software architecture for computer vision systems. - Design scalable and modular software systems aligned with business objectives. - Develop strategies to leverage hardware capabilities for optimizing software performance. - Collaborate with hardware teams to align software and hardware development efforts. - Define strategies for optimizing deep learning inference on edge devices. - Architect solutions for edge computing deployment, ensuring optimal performance on resource-constrained devices. - Collaborate with cross-functional teams including hardware engineers, software developers, and researchers. - Facilitate effective communication and coordination among team members. **Qualifications:** - Expertise in deep learning frameworks such as TensorFlow or PyTorch. - Experience in edge computing and deploying solutions on embedded devices. - Knowledge of ROS/ROS2 and hardware acceleration using OpenCL/CUDA is a plus. - Publications in top CV/ML conferences are advantageous. - Understanding of software architecture principles and best practices. - Excellent leadership and communication skills. - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.,

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