岗位职责
- 参与人工智能芯片的软硬件协同设计，指令集功能验证；
- 参与人工智能芯片的编译器算法设计和实现, 工具链开发与维护，网络模型的性能调优；
- 参与深度学习软件栈的设计和实现；
- Working closely with hardware/architecture engineering and software teams to understand the hardware and software requirements.
- Responsible for compiler and tool chain design, implementation, maintaining and performance tuning.
- Responsible for the design and implementation of deep learning software stack.
职位要求
- 熟练掌握C/C++/Python等编程技能，有扎实的编程基础、良好的编程风格和工作习惯；
- 熟悉编译原理和算法实现，二年及以上编译器开发经验；
- 对机器学习算法/深度学习有一定了解尤佳；
- 有GCC、LLVM和Open64等开源编译器相关开发经验尤佳；
- 有CUDA/OpenCL/汇编级优化经验尤佳;
- 有深度学习相关框架中如Caffe/Tensorflow/PyTorch/MXNet等图优化开发经验尤佳；
- 有计算机体系结构背景，熟悉芯片架构/微架构（包括CPU/GPU/SoC/FPGA), 有软硬件协同设计经验尤佳；
- 具有独立解决问题的能力，良好的团队合作意识和沟通能力； Requirements:
- Strong C/C++/Python programming skills and solid knowledge of data structure and algorithm.
- Familiarity with compiler theory, and experience on compiler development at least two year
- Familiarity with machine learning or deep learning is a good plus.
- Experience on open source compiler project such as GCC/LLVM/Open64 is a good plus.
- Experience on Shader/CUDA/OpenCL assembler level performance is a good plus.
- Experience on graph level compiler development on Caffe/Tensorflow/PyTorch/MXNet etc. is a good plus.
- Familiarity with CPU or GPU architecture is a good plus.
- Self motivated, team work, and good communication are a must.
