Engineering Manager

Engineering Manager - Embedded Systems & Computer Vision Are you an engineer at heart with a passion for solving complex technical challenges? Do you thrive on leading teams to develop high-performance embedded systems that push the boundaries of AI, computer vision, and real-time data processing? At Rapsodo, we turn cutting‐edge technology into game‐changing solutions. As a global leader in sports vision technology, we design and develop advanced hardware products integrating cameras, radars, deep learning, and embedded systems powered by multiprocessor ARM architectures. Our solutions deliver real‐time AI‐driven insights, high‐performance computing, and data precision to help athletes and teams elevate their game. Key Responsibilities Technical Leadership Oversee the architecture, development, and optimization of embedded firmware, middleware, and system software for high‐performance multi‐processor ARM‐based systems. Drive the integration of computer vision, deep learning models, radar signal processing, and embedded systems into efficient and scalable hardware solutions. Ensure seamless middleware implementation for real‐time inter‐process communication, memory management, and low‐latency execution on embedded platforms. Lead firmware development, ensuring robust device control, driver optimization, and real‐time data acquisition from cameras, radars, and sensors. Optimize system performance, power efficiency, and reliability for edge computing and AI acceleration applications. Develop and optimize Embedded Linux environments, including kernel modifications, device drivers, and system‐level optimizations for high‐performance computing. Stay ahead of the latest embedded systems technologies, AI‐driven hardware architectures, and hardware acceleration frameworks. Project Execution & Delivery End‐to‐end project ownership: drive the full product lifecycle—from concept, design, development, and prototyping to manufacturing, testing, and deployment. Collaborate with cross‐functional teams (software, hardware, ML engineers) and manage technical challenges, scope, and timelines. Identify and mitigate technical, operational, and execution risks to keep projects on track. Ensure the on‐time and high‐quality execution of engineering projects, implementing best practices in software and hardware development. Requirements MS/MEng/PhD in Electrical Engineering, Computer Engineering, or a related field. 10+ years of experience in embedded systems, firmware, middleware, and computer vision applications. Strong expertise in C/C++ and Python for real‐time, low‐latency applications in computer vision or signal processing. Deep understanding of middleware frameworks, multi‐core processing, inter‐process communication, and Embedded Linux development. Hands‐on experience with ARM multi‐core architectures and real‐time embedded systems. Strong expertise in firmware development, low‐level device drivers, and kernel‐space programming for Embedded Linux. Experience with radar signal processing, sensor fusion, and deep learning frameworks (TensorFlow, PyTorch, ONNX, etc.). Proven experience managing complex hardware‐software integration projects. Strong leadership, problem‐solving, and project management skills. Excellent communication skills to translate technical details to both engineering teams and business stakeholders. Entrepreneurial mindset—ability to thrive in a fast‐paced, dynamic, and highly technical environment. Benefits Work on cutting‐edge technology that integrates AI, sensor fusion, and high‐performance embedded computing. Be part of a highly skilled, multidisciplinary engineering team driving innovation. Lead end‐to‐end product development with real‐world impact. Shape the future of sports through advanced embedded systems and AI‐driven solutions. Location: Singapore, Singapore. Apply now and be part of the team that's redefining performance through innovation#J-18808-Ljbffr