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Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
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:
- Working experience in generative AI models (LLM and LVM)
- Knowledge in transformer and Huggingface library
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.
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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