Responsibilities
Set up, configure and maintain edge AI development boards and their software environments.
Deploy and run different AI models on NVIDIA Jetson and Huawei Atlas platforms.
Design and execute structured tests covering model accuracy, latency, throughput, memory usage, stability and resource consumption.
Compare model and platform performance under consistent test conditions, record issues and summarize findings.
Support data preparation, training and fine-tuning of small AI models, including experiment tracking and result validation.
Prepare clear test plans, test reports, benchmark summaries and technical documentation.
Automate repetitive deployment, test and data-processing activities using scripts where practical.
Collaborate with software and AI engineers to troubleshoot model conversion, runtime and hardware compatibility issues.
Requirements
Bachelor’s or master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Automation, Electronic Engineering or a related field.
Good Python programming skills; experience with Linux, Git and shell scripting is preferred.
Basic understanding of machine learning or deep learning, including model training, inference and evaluation.
Hands-on experience with PyTorch, TensorFlow or similar frameworks is preferred.
Experience with NVIDIA Jetson, Huawei Ascend/Atlas, CUDA, CANN, ONNX or model deployment is a strong plus.
Able to perform structured testing, analyze data and write clear technical reports in English or Chinese.
Careful, self-driven and willing to learn unfamiliar tools and platforms.
Able to work on-site in Shanghai for at least 3 days per week and preferably commit for 6 months or longer.
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