Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D
-
compliance with EV charging communication protocols (e.g., ISO 15118, DIN 70121). Conduct EMI noise analysis and mitigation for high-power DC charging systems. Develop and troubleshoot embedded hardware and
-
electrical systems and power electronics systems is an advantage. Hands-on experience with embedded systems, microcontrollers, and software development is an advantage. Passion for applied research, problem
-
development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D
-
the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded
-
SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our