AI ADK Software Engineer

Company: Qualcomm China Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job overview: As part of the engineering team of Qualcomm China, mainly focus on automotive infotainment and ADAS platform, we are looking for talented engineers with experiences in machine learning to enable embedded deep learning. We combine high performance software with cutting edge hardware to run deep neural nets fast, and we enhance your driving experience in the most efficient way possible on that powerful Snapdragon chipset in your car. You will work with neural network frameworks like Pytorch and ONNX, extend our neural net engine to support the latest and SOTA DNNs(GenAI/ADAS/Cockpit) emerging from the research community and industry, and optimize for Qualcomm next generation hardware acceleration cores (Hexagon DSP/Adreno GPU/CPU). Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. The work scope includes but not limit to: Support model quantization accuracy tuning and optimizations Practices on quantization aware training and post-training quantization. Co-work with global team on new feature design and implementation. Development and accuracy bug fix in Qualcomm Neural Network SDK (QNN/AIMET) GenAI model quantization accuracy tuning and deployment on Qualcomm silicon. Preferred Qualifications: Some experience with real-world ADAS model tuning on quantization accuracy. Familiar with torch/onnxruntime quantization framework and technical details, have QAT experience with relevant framework is a plus. Familiarity with common model quantization algorithms. Experience in tuning and analysis the quantization accuracy of LLM/VLM/MLLM models. Excellent communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team, have a good sense of responsibility and teamwork. Experienced with Python and C++ programming. Additional Information: All Qualcomm employees are expected to actively support diversity on their teams, and in the Company. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here . 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. If you would like more information about this role, please contact Qualcomm Careers . #J-18808-Ljbffr

Created: 2025-02-15