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GenAI System Integration and Testing Engineer

QualcommBeijing, China

  • Machine Learning Engineering

Company:

Qualcomm China

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Responsibility:

  • Development of end-2-end AI tools, models or software to run quantized neural network models on Qualcomm leading edge hardware with optimal resource
  • Design and develop end-to-end test strategies and frameworks for complex software systems
  • Create and maintain automated test suites using modern testing tools and frameworks
  • Development of debugging/profiling tools and Qualcomm SDK to rapid deployment quantized models on device
  • Participate in code reviews and contribute to improving test coverage
  • Collaborate with cross-functional teams to understand requirements and design test approaches
  • Analyze test results and provide detailed feedback to development team

Preferred Skills and Experience:

  • Related field at least 2 years of relevant work experience.
  • Excellent programming capability with Python and C/C++
  • Knowledge on deep learning and popular frameworks PyTorch or Tensorflow
  • Experience on Qualcomm QNN SDK is a big plus
  • Strong software design, development, and debugging skills
  • Knowledge in Android programming is plus
  • Knowledge in neural network model quantization is a 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.

OR 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. OR 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.

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