Company:Qualcomm India Private Limited

Job Area:Engineering Group, Engineering Group > Systems Engineering

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:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

Applicants: 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 disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. 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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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