Staff Engineer - Voice Ai Job in Qualcomm India Private Limited

Staff Engineer - Voice Ai

Qualcomm India Private Limited 4 weeks ago

Hyderabad, Telangana
Not Disclosed
Full-time
Permanent

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Job Summary Qualcomm is at the forefront of innovation, pioneering AI on Edge technology to revolutionize connectivity and transform industries. As the world's leading developer of next-generation wireless and multimedia technology, Qualcomm invites inventive minds from diverse backgrounds to help realize the potential of 5G through groundbreaking products and technologies. Exciting opportunities are available in Qualcomm's Multimedia Audio Systems Group, particularly in the realm of Voice AI. Responsibilities: As a member of our engineering team, you will: Collaborate to prototype and productize Voice AI models for tasks such as Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Natural Language Processing (NLP), multilingual translation, summarization, language modeling, and other speech/text generation applications. Develop, train, and optimize Voice AI models for efficient deployment on NPU, GPU, and CPU architectures. Conduct model evaluations and competitive analyses using various open-source model variants and different architectures. Work closely with R&D and systems teams for system integration, use case validation, efficient hardware offloading, and commercialization support. Requirements: Strong programming skills in C/C++ and Python. Experience in machine learning inference optimizations. Proficiency in designing, implementing, and training deep learning models using high-level frameworks (e.g., PyTorch, TensorFlow, ONNX). Understanding of machine learning architectures and operators such as Transformers, LSTM, and GRUs. Familiarity with recent trends in machine learning (e.g., diffusion models, U-Nets, BERT, BART) and traditional statistical modeling techniques. Experience with Speech-to-Text, Text-to-Speech, Speech-to-Speech, and NLP applications in academic or industry settings. Knowledge of model quantization and compression techniques. Expertise in developing and debugging software on embedded platforms. Familiarity with software design patterns and multi-threaded programming (e.g., POSIX, PTHREADS). Understanding of computer architecture, operating systems, data structures, and basic algorithms. Knowledge of fixed-point coding. Experience with AI hardware accelerators (NPU or GPU) is a plus. Educational Qualifications: Bachelor's/Master s/PhD in Engineering, Electronics and Communication, Computer Science, or a related field. 8+ years of experience in audio systems engineering, audio signal processing, ML model development, or related fields. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field with 4+ years of relevant experience. OR Master's degree in Engineering, Information Systems, Computer Science, or a related field with 3+ years of relevant experience. OR PhD in Engineering, Information Systems, Computer Science, or a related field with 2+ years of relevant experience.
Qualification :
Bachelor's/Masters/PhD degree in Engineering, Electronics and communication, Computer Science or related filed.

Experience Required :

Minimum 8 Years

Vacancy :

2 - 4 Hires