General Summary:
Qualcomm is a company of inventors that unlocked AI on Edge - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. QUALCOMM is the world's leading developer of next generation wireless and multimedia technology. Immediate opportunities exist in QUALCOMM's Multimedia Audio Systems Group to work in the area of Voice AI Power.
Responsibilities:
The candidate will be expected to work with a team of engineers to analyze, measure and Optimize Voice AI power for Models such as Automatic Speech recognition (ASR), Text-to-Speech (TTS), Multilingual Translation, Summarization, Language modeling and other Source separation and Speech/text generation models
Perform Competitive analysis of Voice AI Models Power with multiple open-source models.
Support system design for optimized power on different form factors covering Mobile, XR, Compute and IoT.
Work closely with other R&D and Systems team for system level analysis of power, and commercialization support.
Requirements:
Strong programming skills in C/C++, Python
Strong fundamentals of Power modeling and Power analysis
Experience working on System level power analysis and measurements
Knowledge of any ML frameworks Pytorch, TensorFlow, ONNX..
Knowledge of ML architectures and operators such as Transformers, LSTM, GRUs.
Experience working on Power measurement setups and Modeling Tools.
Expertise in developing and debugging software on embedded platforms.
Knowledge of Model quantization and compression techniques is a plus
knowledge of fixed-point coding.
Knowledge of computer architecture, operating systems, data structures, and basic algorithms
Experience working on any AI HW accelerator NPU or GPU is a plus.
Educational Qualification:
Bachelor's/Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed.
2+ years of Audio Power analysis and measurement or related work experience.
Minimum Qualifications:
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