Speech & Audio Research Engineer

Qualcomm; San Diego (CA); On-site; USD 148,300 - 222,500; Full time

Benefits offered by this job

Competitive annual discretionary bonus

Annual RSU grants

Comprehensive benefits package

Job summary

Qualcomm is looking for a candidate for its Speech team to work on transforming communication through advanced algorithms in signal processing, machine learning, and audio processing. The role requires executing fundamental research and developing technologies for real-time communication across multiple platforms, including mobile and the metaverse.

The ideal candidate will have a Master’s degree in Electrical or Computer Engineering, along with experience in digital signal processing and programming in C/C++. This position offers a competitive salary range of $148,300 to $222,500.

Qualifications

• Experience with digital signal processing techniques and deep learning architectures.
• Excellent verbal and written communication and presentation skills.
• Embedded software development experience.

Responsibilities

• Conduct fundamental research in signal processing and machine learning.
• Research and develop new conversational speech codecs for wireless networks.
• Design and implement embedded neural network models.

Skills

Digital Signal Processing

Machine Learning

Speech Processing

C/C++ Programming

Python Programming

Education

Master’s degree in Electrical Engineering or Computer Engineering

Tools

TensorFlow

PyTorch

Job description

General Summary

Qualcomm's Multimedia R&D Group is seeking candidates to join its world‑class Speech team developing novel technologies enabling the future of real‑time communication and collaboration. We conduct fundamental research, inventing new algorithms, models, and systems that allow people to engage with one another and their devices in natural ways through speech and gestures over wireless communication devices and networks. Our multi‑disciplinary research spans multiple communication modalities and feeds into Qualcomm’s industry‑leading businesses across mobile, XR, Compute, IoT, and Automotive. Our technologies have been incorporated into international standards and deployed in mobile devices around the world. We are seeking candidates with technical excellence in Digital Signal Processing (DSP), Machine Learning, and Speech/Audio Processing, with the creativity and initiative to apply their technical knowledge to exciting new modalities and platforms for human‑to‑human and human‑to‑machine communication.

Job Function

• Fundamental research in the fields of signal processing and machine learning
• Advanced use cases for human interaction that combine communication modalities from areas such as speech, audio (including 3D), natural language, video, computer vision, and graphics
• Research, development, and standardization of new conversational speech codecs for wireless networks
• Developing technologies for real‑time communication in virtual/augmented reality and metaverse applications
• Design and implementation of embedded neural network models, including model optimization & quantization
• Systems level implementation and prototyping of communication systems, including live‑network testing

Skills/Experience

• Experience with digital signal processing techniques including signal modeling, linear prediction, spectrum analysis and estimation, statistical signal processing, filter design and implementation, adaptive filter theory, and signal enhancement
• Experience with Deep Learning, including a wide variety of architectures such as CNN, RNN, LSTM/GRU, and Transformer, plus familiarity with common toolkits such as TensorFlow or PyTorch
• Excellent verbal and written communication and presentation skills
• Programming skills in C/C++ and Python, and experience in Windows or Unix/Linux development environments
• Master’s degree in Electrical Engineering or Computer Engineering

Additional Ideal Candidate Experience

• Expertise in speech and audio signal processing, in domains such as speech coding, speech enhancement, automatic speech recognition (ASR), or text‑to‑speech (TTS) and/or neural synthesis
• Experience with deep learned representations and self‑supervised learning
• Experience with capture, transmission, and rendering of speech and audio
• Experience developing algorithms and systems for mobile voice telephony and/or voice interfaces
• Embedded software development for ARM, DSP, and/or neural signal processing hardware
• Ph.D. in Electrical Engineering or Computer Engineering

Minimum Qualifications

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience
• Master’s degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience
• Ph.D. in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience
• Works in the lab, can use hazardous chemicals (e.g., glue, machinery)

Pay range and Other Compensation & Benefits

$148,300.00 - $222,500.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.

Equal Opportunity Employer

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‑[e-mail] 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.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.