Job description

**Company:** ------------ Qualcomm India Private Limited **Job Area:** ------------- Engineering Group, Engineering Group \> Systems Engineering **General Summary:** Qualcomm’s 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 platforms Responsibilities: * 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: * Bachelor’s, Master’s 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 ML framework QNN, platforms and tools Keywords: Audio ML Models, RNNs, Audio dataset, Inference Optimization, ML model Quantization, Quantization aware, post training quantization, Model 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. 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