Job Description

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

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 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, AR/VR, 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

The selected candidate will have responsibilities in one or more of the following areas:

• 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

Strong candidates for this position will possess the following skills and 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
  
  

The ideal candidate will further possess these additional skills and 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
  
  

Physical Requirements

• Frequently transports between offices, buildings and campuses up to ½ mile.
• Frequently transports and install equipment up to 5 lbs.
• Performs required tasks at various heights (e.g. standing or sitting).
• Monitors and utilizes computers and test equipment for more than 6 hours a day.
• Continuous communication which includes the comprehension of information with colleagues, customers and vendors both in person and remotely.
  
  

Education

Minimum Qualifications

Bachelors - Computer Science, Bachelors - Engineering, Bachelors - Information Systems

Work Experiences

2+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

Skills

Certifications:

Education

Preferred Qualifications

Masters - Computer Science, Masters - Engineering, Masters - Information Systems

Work Experiences

2+ years of experience working in a large matrixed organization. ,1+ years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). ,2+ years experience with Machine Learning frameworks (e.g.,Tensor Flow, Caffe, Caffe 2, Pytorch, Keras) ,2+ years experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media). ,2+ years experience using statistics and probability (e.g., conditional probability, Bayes rule) ,1+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware ,2+ years experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).

Skills

AI Frameworks, Calculus, Data Manipulation, Deep Learning, Machine Learning, Performance Optimization, Python, Statistics

Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, 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 is an equal opportunity employer and supports workforce diversity.

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.

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.

If you would like more information about this role, please contact Qualcomm Careers.