1 day ago
Base Salary
$130k - $194k/yr
Responsibilities
- Advance AI techniques for voice interaction in robotics and automotive applications.
- Conduct research in speech enhancement using linear and distributed microphone arrays.
- Use multi-microphone AI to detect talker count and directionality.
- Apply multi-rate and adaptive signal-processing techniques.
- Prototype and demonstrate research concepts.
- File patents and publish papers on relevant innovative research.
Requirements
- Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related field plus 2+ years of Systems Engineering or related experience; alternatively, a master’s degree plus 1+ year of experience or a PhD.
- An M.S. in Electrical Engineering or Computer Science is listed as a minimum qualification.
- Expertise in deep learning techniques, including CNNs, RNNs, autoencoders, and related audio or voice technologies.
- Additional strengths in advanced signal processing, adaptive beamforming, and distributed microphone-array processing are preferred.
- Experience with Adobe Audition for audio analysis is preferred.
- Proficiency in PyTorch for AI model development, training, and data augmentation is preferred.
- Publications in IEEE or other scholarly venues and a doctorate with relevant voice AI experience are preferred.
- Strong collaboration, communication, organization, independence, and initiative are preferred.
Benefits
- Annual discretionary bonus program and opportunity for annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
- The role is based in San Diego, North America, and includes laboratory work that may involve hazardous chemicals and machinery.
Tech Stack
Categories
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.