Job Description
Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Multimedia Systems
General Summary
General Responsibilities-
Conducts fundamental machine learning research to create new models or new training methods in various technology areas, e.g. deep generative models, Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs. Drives systems innovations for model efficiency advancement on device as well as in the cloud. This includes auto-ML methods (model-based, sampling based, back-propagation based) for the creation and optimization of efficient models (e.g., model compression, quantization, architecture search, and kernel/graph compiler/scheduling) with or without systems-hardware co-design. Performs advanced platform research to enable new machine learning compute paradigm, e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, and quantum machine learning. Creates new innovative machine learning methodology for advanced uses cases to achieve performance beyond the state-of-the-art. Development of and publication of research findings in the form of presentations and conference papers may also be required.
Ideal candidate will
Develop new algorithms on top of existing deep learning based techniques and systems for speech enhancement, acoustic echo cancellation and noise suppression, from handsfree voice call, zonal voice call, voice control by voice commands, keyword spotting, audio context/scene detection. Source separation and fully supervised speaker diarization.
We are seeking candidates with technical excellence in deep learning techniques with extensive knowledge of CNNs, RNNs, Auto Encoders and more for the above-mentioned audio/voice technologies.
Basic knowledge in the following areas of signal processing is a plus: advanced adaptive signal processing techniques, multi-rate signal processing, adaptive beamforming and distributed microphone-based signal processing for tracking and speech enhancement. Familiarity with the audio/voice signals and ability to analyze them using tools like audition is a plus.
Preferred Skills For This Role
- Displays deep knowledge in a specific area of machine learning; acquires advanced knowledge of current and future industry trends, competitors' products, and advances within and outside of area of expertise from publicly available information and research;
- Shares knowledge with others on the team and helps less experienced engineers understand and apply advanced concepts.
- Drives own and team's research efforts within a particular domain of machine learning to inform the planning, design, and development of technologies or products in alignment with strategy and product/technology roadmap.
- Proactively develops innovative or patentable and alternative ideas for new solutions, designs relevant experiments, and works on implementation.
- Develops complex new or updated machine learning algorithms, models, and methods that are aligned with research strategies; advises team members and less experienced engineers on designs.
- Leads rigorous and principled testing and analysis of algorithms, models, and methods in different scenarios to ensure concepts work across environments; interprets results and implements improvements to optimize solutions.
- Translates moderately complex research results into publications, workshops, or live demonstrations to engage the research community and communicate the engineering and business impact of concepts.
- Writes clear and detailed technical documentation and descriptions of research findings for complex projects to guide engineers to use or implement research.
Education
Minimum Qualifications
Bachelors - Computer Science, Bachelors - Engineering, Bachelors - Information Systems
Work Experiences
5+ years of Systems engineering or related work experience.
Skills
Certifications:
Education
Preferred Qualifications
Doctorate - Computer Science, Doctorate - Electrical Engineering, Masters - Computer Science, Masters - Electrical Engineering
Work Experiences
7+ years of Systems engineering or related work experience. ,2+ years experience working in one or more multimedia technology areas (i.e., speech, audio, imaging, computer vision, display, sensing, biometrics, augmented/virtual reality).
Skills
ARM Architectures, Audio Processing, C++ Programming Language, Multimedia Systems, Video Coding
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