Kneron 耐能智慧

1. Software performance bottleneck analysis of frameworks, tools, and run-time to develop and integrate full stack solutions using a variety of neural network architectures.
2. Development of AI profiling tools for neural processor engines to optimize the deep neural network architectures

1. Bachelor's /Master’s degree. in Computer Science, Machine Learning, or similar field (Master’s degree is preferred)
2. Basic knowledge on object-oriented software design skills
3. Software engineering experience in an academic or industrial setting.
4. Experience with Python, C++/C, and object-oriented programming skills demonstrated through relevant industry experience.
5. Hands-on experience running machine learning toolkits such Caffe/Caffe2, PyTorch, and TensorFlow 
6. Basic knowledge of machine learning concepts, algorithms and architectures, including CNNs, LSTM-RNNs, etc
7. Ability to quickly adapt to new situations, learn new technologies, and collaborate and communicate effectively.

If interested, please send your resume to: career@kneron.us