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      Urgent! Engineering Manager - Embedded Systems & Computer Vision Job Opening In Singapore, Singapore – Now Hiring Rapsodo
 Engineering Manager - Embedded Systems & Computer Vision 
Engineering Manager - Embedded Systems & Computer Vision 
4 weeks ago Be among the first 25 applicants 
This range is provided by Rapsodo.
Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range 
SGD1.00/yr - SGD1.00/yr 
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 
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++, 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 
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!
Seniority level 
Seniority level Mid-Senior level 
Employment type 
Employment type Full-time 
Job function 
Industries IT Services and IT Consulting 
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Unlock Your Engineering Manager Potential: Insight & Career Growth Guide
Real-time Engineering Manager Jobs Trends in Singapore, Singapore (Graphical Representation)
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Great news! Rapsodo is currently hiring and seeking a Engineering Manager Embedded Systems & Computer Vision to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Rapsodo adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Engineering Manager Embedded Systems & Computer Vision Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Engineering Manager Embedded Systems & Computer Vision typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Engineering Manager Embedded Systems & Computer Vision interview at Rapsodo, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Rapsodo's products or services and be prepared to discuss how you can contribute to their success.
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