Embedded Software Engineer (Camera) - Hybrid

Keywords: embedded systems, camera software, hardware integration, IoT A leading technology organisation is seeking an Embedded Software Engineer to join their engineering team and play a pivotal role in developing advanced camera-based products built on the NVIDIA Jetson platform.

What you'll do:

• Design, develop, and maintain robust embedded software solutions for devices utilising the NVIDIA Jetson platform, ensuring high reliability and scalability.
• Interface with camera software to enable real-time capture, processing, and analysis of video streams for advanced computer vision applications.
• Develop Python application code to support system functionalities such as data processing, device control, and seamless integration with other modules.
• Implement over-the-air (OTA) upgrade mechanisms for efficient management of deployed camera fleets across diverse environments.
• Identify performance bottlenecks throughout the software stack—from kernel-level operations to user-facing applications—and optimise system efficiency.
• Stay current with emerging technologies and best practices in embedded systems development, applying new insights to enhance project outcomes.
• Collaborate directly with hardware vendors to diagnose root cause issues and deliver effective resolutions for complex technical challenges.
• Contribute to cross-functional teams by sharing expertise in network protocols, device communication strategies, and IoT integration.
• Support hardware debugging activities and provide input on PLC usage and protocol implementation where required.
• Participate actively in team meetings, code reviews, and collaborative problem-solving sessions to ensure project goals are met.

What you bring:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related discipline is essential for understanding complex embedded systems.
• At least five years of hands-on experience developing embedded solutions on Linux-based platforms demonstrates your depth of expertise.
• Proficiency in Python programming is required for building application code; familiarity with Docker, JavaScript, C/C++ enhances your versatility across projects.
• Demonstrated experience working with the NVIDIA Jetson platform or similar embedded computing modules ensures you can hit the ground running.
• Knowledge of software deployment strategies and tools tailored for embedded environments supports reliable fleet management.
• Deep understanding of network protocols, device communication methods, and IoT technologies enables seamless system integration.
• Excellent problem-solving abilities allow you to address technical challenges both independently and collaboratively within a team setting.
• Strong communication skills foster effective collaboration with colleagues and external partners alike.
• Commitment to achieving project goals through cooperative teamwork aligns with the organisation’s values of shared success.
• Familiarity with PLC usage/protocols and hardware debugging techniques is considered advantageous but not mandatory.

What sets this company apart:

This organisation stands out as a leader in edge AI innovation within Taipei’s vibrant technology sector. Their commitment to fostering an inclusive environment means every team member benefits from flexible working opportunities designed around personal needs.

What's next:

If you are ready to take your career in embedded systems engineering to new heights within a collaborative environment focused on edge AI innovation, we invite you to apply today!

Apply today by clicking on the link provided—your next exciting challenge awaits!