Job Description
1. 在主流机器学习框架中集成AI芯片，并针对各类机器学习算法优化性能。
2. 设计和开发AI芯片专有的高性能通用开发库，提供定制的机器学习算法。
3. 分析和验证各类机器学习算法在AI芯片上的功能和性能，为芯片设计提供参考。
4. 设计和开发辅助调试基于AI芯片各类应用的工具集，为AI芯片客户提供支持。
1. Integrate AI chipset into main-stream machine learning framework and optimize AI algorithms for the chipset.
2. Design and develop a high-performance SDK for AI chip, and develop an intrinsic AI algorithms library.
3. Analysis and verify the functionality/performance of different AI algorithms on the chip, and give feedback to chipset design team.
4. Design and develop toolsets that help build AI applications based on the AI chip, and support AI chipset customers.
Job requirements
1. 硕士以上，计算机科学/电子工程/数学相关专业， 至少二年/五年工作经验。
2. 熟悉C/C++编程，熟悉Python编程，有Unix/Linux环境下开发经验。
3. 有深度学习/神经网络工作经历，熟悉一种或几种主流机器学习框架（如TensorFlow/Pytorch/Caffe等）。
4. 满足以下条件者优先：
a. 熟悉计算机体系结构，有底层系统开发经验。
b. 拥有以下任何方面的经验者优先：计算机视觉, 视频处理与解析, 图片处理, 语音识别, 自然语言理解。
c. 有并行编程经验，如CUDA/OpenCL/OpenMP等。
d. 熟悉性能调优和性能量化分析。
e. 有编译器开发经验。
5. 良好的英语听说读写能力。
6. 沟通表达能力良好，富有事业心和团队合作精神。
1. Master or higher degree in CS/EE/Math or equivalent is required with minimum 2/5 years working experience.
2. Strong C/C++ and Python programming skills, and Unix/Linux development experience is required as well.
3. Experience on Machine-Learning and Neural Network is required, and at least being familiar with one major machine-learning framework(like Tensorflow, Pytorch, Caffe, etc.).
4. Having these experience is a good plus:
a. Strong background in computer architecture and development experience on low-level systems.
b. Experience with any of following areas: computer vision, video processing and analysis, image processing, speech recognition, NLP.
c. Experience on parallel programming such as CUDA/OpenCL/OpenMP etc.
d. Experience on system performance tuning and analysis.
e. Experience on compiler development.
5. Good oral, reading and writing skills in English.
6. Excellent communication skill, innovation and teamwork are also required.
