Qualcomm
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 architectures, 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 Audio framework, platforms and tools Minimum Qualifications
•
Bachelor’s degree 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, Qualcomm is committed to providing an accessible process. You may email disability-accommodations@qualcomm.com. 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. 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.
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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 architectures, 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 Audio framework, platforms and tools Minimum Qualifications
•
Bachelor’s degree 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, Qualcomm is committed to providing an accessible process. You may email disability-accommodations@qualcomm.com. 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. 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.
#J-18808-Ljbffr