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Tesla Audio DSP ML Algorithms Engineer Electronic Systems United States, California, Palo Alto 793660734
Develop audio signal processing for next generation Tesla vehicles: acoustic rendering for playback, speech enhancement, acoustic detection, etc.
Define algorithm blocks and their integration into the larger system
Conduct end to end studies for algorithm selection, development, tuning, and validation
Prototype the algorithm in MATLAB/python
Implement the algorithm in C/C++ to run on device
Validate the algorithm/implementation and set up scripts to assist validation Define validation test plans across the range of possible corner cases to ensure audio quality
Root cause and troubleshoot algorithm performance issues across the entire acoustic/electronics/software stack
Define and document system and component requirements for algorithm performance on prospective platforms, incorporating acoustic, hardware, and software dependencies
Experience in embedded C/C++ programming, board bring-up, profiling, optimization, simulation, and various levels of testing (SW only, HW/SW integration, etc.)
Fluency in MATLAB or Python for scientific/mathematical problem solving as well as testing and data analysis
Experience developing and implementing one or more of the following on embedded platforms: beamforming – MVDR, GSC, multichannel Wiener filter – multichannel blind source separation, multichannel echo cancellation, Kalman filter, adaptive filters
Strong mathematical skills - advanced linear algebra, calculus, and optimization are a must
Experience with the following is a plus: stochastic signal processing, signal detection and estimation, 3D sound, HRTFs, crosstalk cancellation, dereverberation, blind deconvolution, direction of arrival estimation, machine learning, sound event detection, anomaly detection
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