Advanced Computer Vision Systems Architect

Computer Vision Architect

Overview

A visionary computer vision architect is required to lead the design and implementation of advanced computer vision systems.

This role involves overseeing the architectural aspects of projects, defining technical visions, and ensuring alignment with organizational objectives. The ideal candidate will possess a deep understanding of computer vision principles, machine learning, and software engineering, coupled with leadership skills to drive innovative solutions in computer vision.

Responsibilities

• Technical Leadership: Lead a team of computer vision engineers and developers, providing technical guidance, mentoring, and fostering a collaborative environment. Drive technical visions and strategies for computer vision projects, particularly in 3D object detection and multiple-camera feed processing.
• 3D Object Detection: Leverage expertise in 3D object detection algorithms and methodologies to design and implement cutting-edge solutions. Collaborate with the research team to integrate the latest advancements in 3D object detection into practical, scalable applications.
• Multicamera Feed Processing: Design and implement systems for efficient processing and analysis of multiple camera feeds in real-time. Optimize algorithms and workflows to handle large-scale data from diverse camera sources.
• Technical Architecture: Develop and implement the overall technical architecture for computer vision systems, ensuring scalability, reliability, and performance. Collaborate with cross-functional teams to integrate computer vision components into larger systems.
• Broadcast Software Experience: Demonstrate experience working with broadcast software and understanding the unique challenges and requirements of the broadcast industry. Integrate computer vision solutions seamlessly with broadcast systems, ensuring compatibility and adherence to industry standards.
• Module-Level Thinking: Apply a modular and scalable approach to system design, breaking down complex tasks into manageable and reusable modules. Conduct thorough module-level thinking to enhance system flexibility, maintainability, and ease of future enhancement.
• Hardware Acceleration: Evaluate and implement hardware acceleration solutions, such as GPUs or specialized processors, for optimizing computer vision algorithms. Collaborate with hardware engineers to ensure seamless integration between software and hardware components.
• Research and Development: Stay abreast of the latest trends, research, and advancements in computer vision, particularly in the domains of 3D object detection and camera feed processing. Contribute to R&D efforts to explore and implement innovative solutions considering hardware constraints and opportunities.
• Collaboration and Communication: Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to ensure seamless integration of computer vision components. Communicate technical concepts effectively to both technical and non-technical stakeholders.

Requirements

• Bachelor's/Master's/Ph.D. degree in Computer Science, Electrical Engineering, or a related field.
• 5-6 years of hands-on experience in computer vision, with a focus on 3D object detection and multicamera feed processing.
• Total 8-10 years experience, 3-4 years leading the technical architecture setup in a CV organization.
• Must know end-to-end technical architecture, triangulation, 3D object detection, broadcast experience, and multicamera feed processing.
• Proven experience in designing and implementing technical architectures for computer vision systems.
• Strong programming skills in languages such as Python, and C++, and familiarity with relevant frameworks (OpenCV, TensorFlow, PyTorch).
• Experience with hardware acceleration, GPU programming, and parallel computing.
• Knowledge of hardware selection, configuration, and optimization for computer vision processing.
• Previous experience in a leadership or architecture role is a plus.
• Experience working with broadcast software and understanding of the broadcast industry's unique requirements.