Qualcomm Machine Learning/AI Customer Senior Engineer 

China, Beijing, Beijing 

2851778

Job Area:

Engineering Group, Engineering Group > Software Applications Engineering

Main Responsibilities:

Option 1: Deep Learning Models Compiling, Algorithm optimization, Performance Benchmark, AI application intergration, AI framework Intergeration, Graph and Backend Compiler Development.

Skills / Experience Required:

1. Good knowledge for software development and debug.

2. C++/Python/Java programming experience.

3. Be familiar with one or more AI frameworks like Tensorflow, Pytorch, Mxnet, Caffee2, ONNX.

4. Be familiar with major machine learning and deep understanding for deep learning like CNN, LSTM, RNN, know how for computing benchmark test like MLPerf.

5.Be familiar with Google Colab, Jupyter Notebook, Jupyter Hub

1. Be familiar with major AI accelerator chip architecture , like GPU card or data center experience.

2. Good verbal and written communication skills in English.

3. Experience with Windows DLL/Android/Linux and related development is preferred**" in English

Education Requirements:

Degree Major, GPA, CoursesBS in Electrical Engineering, Microelectronic, Information Systems, Computer Science, or related field, MS preferred.

Minimum Qualifications:

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

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

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

• 1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc.

• 1+ year of any combination of academic and/or work experience with debugging techniques.

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.