<p>At Apple, extraordinary ideas have a way of quickly becoming extraordinary products, services and customer experiences. Sound is an essential and compelling facet of the customer experience. Apple has assembled an elite Acoustics team that enables our customers to experience music with delight, communicate with clarity, and enjoy elegant sound throughout our product line. In Apple Acoustics we work with the utmost attention to detail, directly impacting the design of products that millions of people around the world love!</p> <p>The Audio System Tuning team is a close-knit group of highly-skilled engineers working to ensure Apple devices are tuned for peak acoustic performance under most conditions. We are looking for an experienced Acoustics DSP Engineer to elegantly facilitate the marriage of audio software and acoustic hardware in Apple devices. This person will drive all Audio DSP optimization for Voice Recognition applications in various iOS, MacOS and Wireless Apple products. Does this sound like you?Ready to be a member of an elite Acoustic Hardware Org? As an Acoustics DSP Engineer on the Audio System Tuning team, you will work day-to-day with world-class Audio Tuning Engineers, DSP algorithm u0026 ML teams. Regular interaction with multi-functional teams is a must. And as such, stellar technical communication and collaboration skills are paramount. In addition this role will require substantial attention to detail as well as excellent HW/SW debugging skills. You will tune, optimize, and listen to different internally developed algorithms, and employ advanced techniques to deliver the best Voice Recognition experience across all Apple devices.</p> <p>Note: This role will require frequent travel to Apple headquarters in Cupertino, CA (approx 25%). International travel may also be required.In-depth Audio DSP knowledge for audio applications, such as Echo and Double Talk, Microphone Array Processing, Beam-Forming, Multi-Band Compression, Equalization, Noise Suppression in portable devices</p> <p>Theoretical and practical knowledge of Machine Learning techniques used in Automatic Speech Recognition for portable devices</p> <p>Experience with tuning of echo cancellation algorithms, providing the correct tradeoff between echo return loss and double talk performance, and speech intelligibility</p> <p>Excellent coding and debugging skills (Python and C/C++ preferred)</p> <p>Knowledge on transducers and their Acoustic integration is desirableArray</p>