Engineering Manager - Embedded Systems & Computer Vision at Rapsodo
Singapore 139964, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

0.0

Posted On

20 Aug, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Computer Engineering, Signal Processing, Embedded Systems, Project Management Skills, Linux Development, Inter Process Communication, Device Drivers, Integration Projects, Sensor Fusion, Computer Vision, Communication Skills, Embedded Linux, C++, Middleware, C

Industry

Information Technology/IT

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.

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
Responsibilities

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