Qualcomm Senior AI Software Engineer 

China, Beijing, Beijing 

1881070

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

Responsibility:

• Development of end-2-end embedded AI software to run quantized neural network models on Qualcomm leading edge hardware with optimal resource

• Design and enhance the implementation of ML/AI compilers, kernels, and runtime software to improve performance and power efficiency

• Collaborating with AI Processor Hardware team and high quality implementation of new ML operators/layers to optimal utilizing new capabilities in next-gen AI processor

• Development of debugging/profiling tools and user-friendly SDK for customers to rapid deployment of their new use cases

Preferred Skills and Experience:

• Related field at least 3 years of work experience.

• Excellent programming capability with C/C++ and Python

• Have knowledge on deep learning and frameworks PyTorch

• Strong software design, development, and debugging skills

• Knowledge in Android programming is plus

• Optimization of algebraic operations in algorithms for HW cores is a plus

• Knowledge in neural network model quantization is a big plus

• Experience on Qualcomm QNN SDK is a big plus

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

PhD in Computer Science, Engineering, Information Systems, or related field.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.