3 days ago
Hyderābād, IndiaSenior
Responsibilities
- Design and develop end-to-end audio systems and IP focused on echo cancellation, noise suppression, and speech enhancement.
- Prototype and commercialize audio solutions using traditional signal processing and machine learning.
- Implement, test, troubleshoot, and validate fixed-point, floating-point, and ML-based audio algorithms.
- Develop, optimize, evaluate, quantize, compress, and deploy audio ML models for efficient inference on embedded hardware.
- Benchmark audio performance, prototype demonstrations, and collaborate with R&D, systems, integration, internal engineering, and customer teams to support commercialization.
Requirements
- Solid background in audio signal processing fundamentals and experience developing, implementing, and debugging audio algorithms using signal processing and ML.
- Knowledge of audio features, echo cancellation, noise suppression, speech enhancement, acoustic measurements, and audio performance analysis.
- Strong programming skills in Embedded C/C++, MATLAB, and Python.
- Experience with embedded platforms, DSP architectures, real-time operating systems, software design patterns, and fixed-point and floating-point implementation.
- Familiarity with CNN, RNN, U-Net, and Transformer model architectures for audio applications.
- DSP intrinsic and assembly programming experience is preferred.
- Master's or PhD in Engineering, Electronics and Communication, Electrical Engineering, Computer Science, or a related field; the listed minimum qualification is a bachelor's degree in Engineering, Information Systems, Computer Science, or a related field.
- Strong communication, presentation, teamwork, independent working, and cross-functional collaboration skills.
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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.