Engineer - Audio Systems Machine Learning Engineer

Job Area: Engineering Group, Engineering Group > Systems Engineering
General Summary:
Qualcomms Audio Systems team is seeking a talented and highly motivated engineer specialized in the implementation of Voice AI and Audio solutions. You will work with a team to prototype, optimize, and productize state-of-the-art ML models, ensuring efficient deployment on snapdragon platformsResponsibilities:
- Develop, optimize, and deploy Voice AI and audio ML models for audio applications, with a focus on inference efficiency across NPUs, GPUs, and CPUs.- Perform model evaluation, quantization, and compression to enable fast, robust inference on embedded hardware.- Analyze and compare model architectures (such as Diffusion Models, U-Nets, Transformers, BERT, BART, etc.) for use in audio applications.- Collaborate with cross-functional R&D, systems, and integration teams for system use case verification and commercialization support.- Contribute to the design and software implementation of audio ML models in embedded C/C++ and Python.- Evaluate system performance, debug, and optimize for performance and robustness.- Participate in industry trends, benchmarking and performance analysis of various Model architecture, and bring up-to-date architectural or technical innovations to the team.Requirements:
- Strong programming skills in C/C++, Python.- Experience with audio processing and embedded solutions.- Hands-on experience working with audio framework and audio solutions on any platform- Familiarity with ML frameworks (PyTorch, TensorFlow, ONNX, etc.).- Knowledge of model quantization and compression techniques, and experience optimizing inference and deployment on embedded hardware.- Strong understanding of ML model architectures such as, CNNs, RNNs, Transformers, U-Nets, and statistical modeling techniques.- Understanding of DSP or Microcontroller architectures and frameworks- Experience developing and debugging software on embedded platforms; familiarity with software design patterns, multi-threaded programming (e.g., POSIX, PTHREADS), and fixed-point coding.- Excellent verbal and written communication skills; ability to work independently and as a team player in geographically dispersed, multidisciplinary teams.- Proven ability to work in a dynamic, multi-tasked environment "” quick learner, self-motivated, and results-driven.Minimum Qualifications:

Bachelors, Masters or PhD in Computer Science, Electronics and Communication, Electrical Engineering, or a related field (or equivalent work experience).
Preferred Qualifications:- Experience working with Qualcomm AI HW accelerators (NPUs) and Qualcomm SDKs- Knowledge of Qualcomm Audio framework, platforms and toolsMinimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
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