Submitting more applications increases your chances of landing a job.
Here’s how busy the average job seeker was last month:
Opportunities viewed
Applications submitted
Keep exploring and applying to maximize your chances!
Looking for employers with a proven track record of hiring women?
Click here to explore opportunities now!You are invited to participate in a survey designed to help researchers understand how best to match workers to the types of jobs they are searching for
Would You Be Likely to Participate?
If selected, we will contact you via email with further instructions and details about your participation.
You will receive a $7 payout for answering the survey.
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:
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.
You'll no longer be considered for this role and your application will be removed from the employer's inbox.