Audio ML Engineer

## Company: Qualcomm India Private Limited ## Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm’s Audio Systems team is seeking a highly motivated engineer to develop, optimize, and deploy state-of-the-art audio ML models. This role focuses on bringing ML models from research to production by enabling efficient real-time inference on snapdragon NPUs under strict latency, memory, and power constraints. The role requires strong expertise in audio ML, embedded deployment, and model optimization and quantization. Key Responsibilities • Develop, optimize, and deploy audio ML models across CPUs, GPUs, and NPUs. • Perform model evaluation, quantization, compression, and optimization for embedded deployment. • Integrate ML models into real-time audio pipelines such as ECNS and speech enhancement. • Analyze and benchmark model architectures including CNNs, RNNs, Transformers, U-Nets, diffusion and sequence models. • Optimize inference for low latency, power efficiency, and memory footprint. • Profile and debug model performance on embedded hardware platforms. • Collaborate with ML, DSP, and systems teams to balance accuracy vs efficiency trade-offs. • Support end-to-end deployment, validation, and productization of models. Minimum Qualifications • Strong programming skills in C/C++ and Python. • 3+ years of experience in ML model development, deployment, or embedded systems. • Hands-on experience with model quantization and optimization. • Strong understanding of real-time system constraints (latency, memory, power). • Experience with embedded systems, DSP or AI accelerators. • Familiarity with ML frameworks such as PyTorch, TensorFlow, ONNX. Preferred Qualifications • Experience with audio/speech ML models (speech enhancement, denoising, ECNS). • Experience with DSP + ML hybrid systems. • Knowledge of Qualcomm AI stack including QNN and Snapdragon platforms. • Experience with model optimization techniques such as pruning, compression, and quantization-aware training. • Strong understanding of audio processing pipelines and system-level integration. • Experience with multi-threading, embedded software design, and real-time debugging on any embedded platform Education Requirements Bachelor’s, Master’s or PhD in Electrical Engineering, Computer Science, Electronics and Communication, or related field. Keywords Audio ML, Voice AI, Embedded ML, Quantization, INT8, ONNX, PyTorch, QNN, ECNS, Speech Enhancement, Model Optimization, DSP, Inference Optimization 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. Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.