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Job Area:
Engineering Group, Engineering Group > Systems Engineering
Responsibilities:
Work with R&D engineers to help to design, evaluate, and demo new speech and audio features containing machine learning approaches.
After successful proof the algorithm performance, you will develop a demo prototype and work with various teams to commercialize the new feature, on this process you will:
Translate feature requests into sets of engineering requirements.
Review existing state of the art methods in the literature and propose potential solution directions.
Train new ML models using PyTorch (preferable) or TensorFlow for the target application.
Demonstrate effectiveness of proposed solution through performance evaluations.
Minimum Qualifications
Bachelor’s degree with 2 years of experience or master’s degree in electrical engineering, Information Systems, Computer Science, or related field.
Coding experience in Python.
Knowledge of one of the NN training frameworks: PyTorch (preferred) and TensorFlow.
Familiar with common neural network architectures, namely LSTMs, CNNs, RNNs, etc.
Preferred Qualifications
Coding experience in Matlab.
Interested in working with cutting edge applications and learn how to make them products.
Willing to work in cross disciplinary, geographically dispersed teams.
Knowledge of traditional signal processing theory on any of the following:
Active noise control
Acoustic Echo cancellation and noise suppression
Adaptive filtering for audio applications
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, 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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