Audio Machine Learning Research Engineer

Company:

Job Area:

General Summary:

Job Overview:

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 mutiple 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++

Strong fundamentals of Power modeling and Power analysis

Experience working on System level power anlaysis 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 techiques 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

Experience with processor workload analysis. MIPS and memory optimization is a plus

• All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
• Proven ability to work in a dynamic, multi-tasked environment
• Self-starter who likes to be challenged and solve tough complex problems
• Excellent verbal and written communication and presentation skills.
• Quick learner, self-motivated, able to work independently and a Team player.
• Aspiration for excellence.
• Working in cross disciplinary, geographically-dispersed teams

Educational Qualification:

Bachelor's/Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed.

Minimum Qualifications:

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

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).

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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