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 noise. In Apple Acoustics we work with obsessive attention to detail, directly contributing to products that ship to millions of people around the world.

The Audio System Tuning team is looking for an Acoustics DSP Engineer to ensure the correct marriage between audio software and acoustic hardware in Apple’s 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 & 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.

Minimum Qualifications

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

Preferred Qualifications

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