Acoustics DSP Engineer

At Apple new 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 a world-class Acoustics team that enables our customers to experience music with delight communicate with clarity and appreciate our products without disturbance from Apple Acoustics we work with obsessive attention to detail directly contributing to products that ship to millions of people around the world. nnThe Audio System Tuning team is looking for an Acoustics DSP Engineer to ensure the correct marriage between audio software and acoustic hardware in Apples HW devices. The successful candidate will be responsible for all Audio DSP optimization for Voice Recognition applications in various iOS MACOS and Wireless Apple products.

The candidate will be a member of Acoustic Hardware Team and work day-to-day with the Audio Tuning Engineers DSP algorithm u0026 ML teams. This role will require attention to details and excellent HW and SW debugging skills. You will be interacting with different teams at Apple regularly and as such you should have great communication and collaboration skills. You will tune optimize and listen to different internally developed algorithms for Apple HW with focus on advanced techniques to deliver the best Voice Recognition experience across all Apple HW. This role might require some international traveling as well. Apple delivers world class products and Audio should just make these products even better with superb sound.

BS/MS or equivalent preferably specializing in Audio or Electrical understanding of acoustics and signal processing executing and debugging scripts with Python and with acoustic measurement equipment such HeadAcqua Test System Soundcheck and Audio Analyzers.

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 coding and debugging skills (Python and C/C preferred).nStrong background in applying Machine Learning methods and frameworks for Audio with tuning of echo cancellation algorithms providing the correct tradeoff between echo return loss and double talk performance and speech on transducers and their Acoustic integration is written and verbal communication skills ability to work optimally in multi-functional teams.