Voice AI Power Senior Engineer

Company

Qualcomm India Private Limited

Job Area

Engineering Group, Engineering Group > Systems Engineering

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 modelsPerform Competitive analysis of Voice AI Models Power with mutiple open source modelsSupport system design for optimized power on different form factors covering Mobile, XR, Compute and IoTWork 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 analysisExperience working on System level power anlaysis and measurementsKnowledge 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 ToolsExpertise in developing and debugging software on embedded platformsKnowledge of Model quantization and compression techiques is a plusknowledge of fixed point codingKnowledge of computer architecture, operating systems, data structures, and basic algorithmsExperience working on any AI HW accelerator NPU or GPU is a plusExperience 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.
  

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