ONNX Developer

ONNX implementation and optimization in AIX:

Strong application developer with deep knowledge of compiler behaviour when implementing numerically intensive AI algorithms. Understanding how to vectorize and optimize and communicate the benefits and behaviour of the optimized code.

Requires knowledge of algorithms used in mathematical modelling, simulation, machine learning, and particularly ONNX. Requires demonstrated experience implementing these algorithms in applications that require robustness and performance.

The job will require an understanding of analysing performance and data handling issues such as efficient handling of endianness formats to achieve the best possible performance. This is to be accomplished using new algorithms, advanced processor features and leveraging the features through advanced compiler optimization features and libraries. Candidate will have broad awareness of how to implement algorithms to deliver performance gain and consistency of the applications requirement.

Required skills

• Development experience with the numeric algorithms used in mathematical modelling, simulation, machine learning, and particularly ONNX
• Experience with C and C++ application programming using one or more of these compilers: GCC, XL C, ICC, CLANG/LLVM, AOCC
• Experience applying numeric algorithms into complex multi threaded multiprocessing applications in UNIX or Linux OS
• Experience debugging runtime and runtime issues in large scale projects
• Familiarity with Python based coding
• Familiarity Java Development Kit(JDK) and Java Virtual Machine (JVM)

Preferred skills

• Open-source contributions, system programming, networking (distributed/parallel applications)
• Application performance optimization investigation & analysis using tools like valgrind, perf, Nectar, PMU, pipestat, nmon