Engineering Manager - Embedded Systems & Computer Vision

Rapsodo; Singapore; On-site; USD 90,000 - 150,000; Full time

Job summary

An innovative company is seeking an Engineering Manager to lead the development of cutting-edge embedded systems and computer vision technologies. In this pivotal role, you will oversee the architecture and optimization of high-performance systems while managing cross-functional teams to ensure successful project execution. This position offers the chance to work on groundbreaking technology that integrates AI and sensor fusion, driving real-world impact in the sports industry. If you are passionate about solving complex engineering challenges and want to shape the future of technology, this opportunity is perfect for you.

Benefits

Cutting-edge technology projects

Multidisciplinary engineering team

Opportunities for innovation

Impactful product development

Qualifications

• 10+ years of experience in embedded systems and firmware development.
• Strong expertise in C/C++ and Python for real-time applications.

Responsibilities

• Oversee architecture and development of embedded firmware and systems.
• Drive full product lifecycle from concept to deployment.

Skills

C/C++

Python

Embedded Systems

Computer Vision

Signal Processing

Project Management

Leadership

Education

MS/MEng/PhD in Electrical Engineering

MS/MEng/PhD in Computer Engineering

Tools

Embedded Linux

TensorFlow

PyTorch

ONNX

Job description

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.

We are looking for an Engineering Manager to drive the end-to-end development of our embedded technology stack. You will lead teams, make critical technical decisions, and ensure the successful execution of high-performance embedded systems, firmware, and AI-driven applications from concept to deployment.

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.
• Team & Stakeholder Management: Collaborate with cross-functional teams (software, hardware, ML engineers) and manage technical challenges, scope, and timelines.
• Execution & Risk Management: 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.

• 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++, 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

At Rapsodo, you will have the opportunity to

• 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.

If you’re passionate about solving complex engineering challenges and want to be at the forefront of next-generation technology, we’d love to hear from you.

Apply now and be part of the team that’s redefining performance through innovation!