Responsibilities
• Configure and setup environment of embedded devices like Raspberrry Pi and Nvidia Jetson devices
• Develop optimized and time-critical code in C/C++ or FPGA
• Deploy computer vision algorithms and deep learning models to FPGAs, GPUs, and CPU platforms like Xilinx Zynq™ or NVIDIA® Jetson or ARM® processors
• Collaborate with the algorithm team to implement and optimise video analytics algorithms and models
• Optimise video analytics software pipelines for enhanced performance
• Conduct thorough testing and debugging of integrated solutions to ensure reliability and accuracy.
• Collaborate with hardware engineers to ensure proper integration and utilisation of hardware acceleration technologies.
Requirements
• Degree in Computer Science with 1 year C/C++ software development experience
• Proven experience as a C/C++ Developer with experience on video analytics.
• Understanding of video analytics algorithms, machine leaming models and OpenCV tools.
• Familiarity with edge computing and deployment of video analytics models on edge devices
• Hands-on experience with Nvidia's technology stack, including TensorRT and Nvidia DeepStream, will be an advantage.
• Experience with FPGA programming is a bonus
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.
Licence No: 12C6060
