Company: Qualcomm China Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.

As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs.

Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

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

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

ORPh D in Engineering, Information Systems, Computer Science, or related field.• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Overview Voice AI is designed to provide lower power wakeup and low-latency, high-performance on-device voice technology on Qualcomm platform.

The voice technology includes Automatic Speech Recognition (ASR), Text-to-Speech (TTS), etc.

Voice AI can be applied in various scenarios, such as a front-end of LLMs.

We are looking for talented and motivated Voice AI Software Engineer working on voice technology on Snapdragon.

The ideal candidate will have experience on deep learning framework and model optimization or have rich experiences on application development on Linux OS.

Skills/Experience Solid C/C++/Java/Python programming and debugging skills in Linux/Android platform.

Experience in design/implementation of deep learning network via frameworks, including Tensor Flow, ONNX, Pytorch, etc.

Experience and knowledge of machine learning model optimization and acceleration such as quantization, pruning.

Experience and knowledge of Voice recognition area, such as TTS/ASR/NLU.

Good understanding of Voice/Audio system architecture on Linux / Android.

Excellent verbal and written communication and presentation skills in English.

Ability to collaborate across a globally diverse team.

It would be an advantage ot have experience and knowledge of Qualcomm’s AI Stack, such as SNPE / QNN / AIMET.

It would be an advantage to have experience on profiling machine learning model and evaluating its performance.

It would be good to have experience on LLM and popular architecture such as Transformer.

Responsibilities Design, Develop, maintain Voice AI architecture/software on Android, Linux.

Optimize Voice AI related models and deploy them on Qualcomm’s computation hardware.

In-depth analyze and solve performance issues of Voice AI models.

Provide technical support to customer requirements and release version.

Document and share knowledge with the team.

Education Requirements Bachelor's, Computer Engineering and/or Electrical Engineering with 3+ years’ experiences, or Master's, Computer Engineering and/or Electrical Engineering with 2+ years’ experiences.

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 .

Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.

Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

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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