VoiceAI Systems Engineer– Senior Engineer

Responsibilities:

The candidate will be expected to work with a team of engineers to prototype and productize Voice AI Models such as ASR, 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

• 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.

2+ years of Audio Systems engineering or Audio Signal Processing modules or ML Model development or related work experience.

Targetted Companies: AMD, Cadence, Samsung, Intel, Harman, Mathworks, Bose, STMicroelectronics, Honeywell, Ittiam, Nvidia

Keywords: Audio Processing, ASR, TTS, LLMs, Hugging face