- {{$parent.googlePlacesAutocompleteEnabled ? location.description : location}}
Job Description
Company:
Qualcomm China
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Job Overview:
Voice AI refers to voice activated Gen-AI and it is revolutionizing the way people use mobile, compute, XR & IOT devices. Qualcomm is at the forefront of this voice AI revolution and Qualcomm’s audio systems team propels the AI adoption by developing & commercializing a wide range of voice AI technologies: multimodal (audio/camera) AI solutions, LLMs, speech enhancement for gen AI etc. We are looking for a highly talented engineer with speech & AI expertise to join us in the voice AI revolution.
An Audio systems engineer is expected to execute through the entire life cycle of the technologies, including problem definition, algorithm development and simulation, algorithm implementation with a programming language such as Matlab or C, coordinating with various cross functionality teams in successfully commercializing the technology in Qualcomm's embedded platforms or hardware, engaging with leading customers to ensure successful product launch, and providing trainings to both internal teams and customers. The systems engineer will have the opportunity to work with multiple internal teams across different time zones and may have to up 10% or less business travel on average. We are seeking candidates with technical excellence in Digital Signal Processing (DSP) and Machine learning and industry experience in algorithm development & commercialization.
Responsibilities: The selected candidate will have responsibilities in one or more of the following areas:
• Voice AI audio algorithm development for meeting customer expectations
• Training machine learning models for voice AI including gen AI applications
• Tuning audio algorithms for meeting customer requirements & specifications
• Working with both internal teams and customers for successful commercialization.
• Coordinating with various teams for technology productization
• Demo prototyping and preparation;
• Supporting marketing team for technology promotion;
• Technology evaluation and competitive analysis.
Minimum Qualifications
• Solid background in Machine learning and digital signal processing (DSP) fundamentals.
- At least 3+ years of industrial experience in relevant areas – audio signal processing solutions, development and/or commercialization of embedded solutions.
- Experience with machine learning tools, techniques, analysis and model development.
• Excellent programming and debugging skills in C/C++ and experience in Windows and/or Unix/Linux development environments.
• Excellent verbal and written communication, and presentation skills.
• Leadership qualities and a committed team player.
• Good programming skills with python.
Preferred Qualifications
• Expertise in machine learning-based digital signal processing techniques such as speech recognition, wakeword detection, speech enhancement etc.
• Expertise in digital signal processing techniques such as signal modeling, spectrum analysis and estimation, statistical signal processing, adaptive filter theory.
• Expertise in Deep learning / Deep networks.
• Knowledge in speech & audio signal processing, array signal processing, noise reduction, speech enhancement.
• Knowledge of fixed-point programming in C, and Matlab.
Education Requirements
Required: Master's degree in Electrical/Computer Engineering with significant digital signal processing coursework and projects.
Preferred: PhD degree in Electrical/Computer Engineering with emphasis in digital signal processing or Machine learning and/or speech & audio processing
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.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
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.
]]>
