中国来AI创业公司（接近独角兽级别），现本地招人，要求CS背景，编程基础好，对体系架构也有了解，其他能力会单独评估。待遇参见国内风口上公司在行业内的竞争水平。感兴趣的私信 :-)

本地office不做算法，主要做系统方向

哒哒咨询专注于新加坡互联网行业中高端华人人才，我们在新加坡和东南亚其他国家拥有一大批优质互联网技术与运营人才

JOB DESCRIPTION
The Singapore R&D office now is looking for experienced software engineers focusing on building efficient AI platforms.
- Profiling and performance analysis for existing systems
- Performance optimization with architecture-aware techniques, such as SIMD, multi-core, cache optimization, …
- Employing heterogeneous computing resources (e.g., GPUs and FPGA) to speed-up the existing implementations

REQUIREMENT
- Bachelor’s degree or above in Computer Science, with relevant working or research experience on high-performance programs development, such as multithreading and heterogeneous computing
- Good understanding of all concepts of computer architecture, such as ISA, CPU, and memory hierarchy
- Good understanding of data structures and algorithms
Ability of developing highly-optimized programs using any languages, such as C/C++, JAVA
- Development experience on any of: GPGPU (CUDA or OpenCL), AVX, assembly, FPGA, Intel Xeon Phi, or any other hardware accelerat

JOB DESCRIPTION
The Singapore R&D office now is looking for experienced software engineers focusing on building efficient AI platforms.
- Profiling and performance analysis for existing systems
- Performance optimization with architecture-aware techniques, such as SIMD, multi-core, cache optimization, …
- Employing heterogeneous computing resources (e.g., GPUs and FPGA) to speed-up the existing implementations

REQUIREMENT
- Bachelor’s degree or above in Computer Science, with relevant working or research experience on high-performance programs development, such as multithreading and heterogeneous computing
- Good understanding of all concepts of computer architecture, such as ISA, CPU, and memory hierarchy
- Good understanding of data structures and algorithms
Ability of developing highly-optimized programs using any languages, such as C/C++, JAVA
- Development experience on any of: GPGPU (CUDA or OpenCL), AVX, assembly, FPGA, Intel Xeon Phi, or any other hardware accelerat