Senior Engineer - Voice AI

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. 

Responsibilities:

The candidate will be expected to work with a team of engineers to prototype and productize Voice AI Models for Automatic Speech recognition (ASR), Text-to-Speech (TTS), NLP, Multilingual Translation, Summarization, Language modeling and other Speech/text generation tasks.

 Develop, Train, and Optimize Vocie AI models for efficient offload to NPU, GPU and CPU
 Perform Model evaluation study and Competitive analysis with mutiple open source model variants, work on different model architectures
 Work closely with other R&D and Systems team for system integration, use case validation, efficient offload to HW accelerators and commercialization support.

Requirements:

Strong programming skills in C/C++, Python.

Experience working on ML inference optimizations.

Proficiency in designing, implementing and training DL models in any high-level languages/frameworks (e.g. PyTorch, TensorFlow, ONNX)

Knowledge of ML architectures and operators such as Transformers, LSTM, GRUs.

Familiarity with recent trends in machine learning (diffusion models, U-Nets, Transformer, BERT, BART, etc.) and traditional statistical modeling/feature extraction techniques.

Experience working on Speech-to-text, Text-to-Speech, Speech-to-Speech, NLP applications in academics or industry.

Knowledge of Model quantization and compression techniques.

Expertise in developing and debugging software on embedded platforms.

Knowledge of software design patterns and multi-threaded programming, Eg POSIX or PTHREADS.

Knowledge of computer architecture, operating systems, data structures, and basic algorithms.

knowledge of fixed-point coding.

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 Systems engineering or Audio Signal Processing modules or ML Model development 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.

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