Voice AI Software Engineer

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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:

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 TensorFlow, 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 VoiceAI 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 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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If you would like more information about this role, please contact Qualcomm Careers.