Oculus
QualificationsC++Signal processingMATLABCPythonMaster’s degreeDoctoral degreeDoctor of Philosophy
Audio DSP Engineer Responsibilities:
Design and build audio DSP & ML system development workflow and framework to improve productivity and efficiency of algorithm & model implementation, code integration, performance evaluation through objective metrics
Design, develop, optimize, and test real-time DSP- and ML-based end-to-end integrated audio processing pipelines (e.g. for applications such as communications, hearing correction, and speech recognition input, and others)
Design, develop, optimize, and test real-time DSP- and ML-based audio processing components (e.g. beamforming, noise reduction, dynamic range compression, spatialization, and others)
Translate audio processing implemented in MATLAB, Python, or other prototyping frameworks into real-time C, C++ code for embedded systems
Collaborate with partner teams across Meta, including product SW, DSP, AI, and silicon to develop requirements specifications for embedded real-time audio processing systems
Influence the direction of research to accommodate the needs of specific embedded systems and target use cases
Minimum Qualifications:
Currently has, or is in the process of obtaining, a Master’s degree in a relevant field such as computer science, electrical engineering, digital audio, acoustics, and 2+ years of industry experience in real-time audio signal processing, or equivalent combination of education and experience. Degree must be completed prior to joining Meta
5+ years of professional programming experience in building real-time, performance sensitive systems in prototypes or products using C/C++
Proficiency in MATLAB, Python, or other prototyping frameworks
Experience in designing audio algorithms for consumer devices (e.g. microphone array processing, spatial audio rendering, active noise cancellation, echo cancellation, noise suppression, multi-band compression, adaptive filtering, speaker protection)
Understanding of DSP fundamentals and the experience to apply the concepts to real-time system design
Preferred Qualifications:
PhD in Electrical Engineering, Computer Science, or related field, with audio signal processing as the research topic
Experience working in an interdisciplinary team, such as with algorithm researchers, user experience researchers, audio systems engineers, and others
Experience applying ML to audio processing problems
Experience building software architectures for signal processing systems
Experience in optimizing algorithm performance by leveraging hardware accelerators
Understanding of digital signal processor architecture including instruction sets, memory hierarchy, buses and interconnects
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