Senior Staff Embedded Software Audio Engineer

Ford Model E Platform Architecture Engineering is looking for a Staff embedded software engineer to work on Audio DSP platform software. In this role you will be responsible for the development of automotive software solutions and embedded software modules for electric vehicles developed by Ford in the area of platform software of audio hardware and audio DSP.

You will be expected to pivot quickly on new ideas. Failing fast will be normal.

What youll be able to do:

• Lead the successful development of next generation software components for electric vehicles working with architects engineers and other technical specialists to design an integrated solution.
• Audio DSP platform software development engineer will analyze requirements related to the Audio Infotainment product and design an innovative solution for the Digital Signal processing and audio platform software of the product.
• It involves developing and testing DSP software and audio platform software components working with multicore highend SoC that runs multiple virtual domains on a Type1 hypervisor with more than one domain sharing the Audio resources.
• The job involves developing efficient audio DSP algorithms for various applications including realtime audio processing noise cancellation echo suppression and audio effects spatial audio 3D audio and other advanced audio processing techniques. to be seamlessly running on appropriate domains to support voice related functionalities.
• The Engineer should be able to provide substantial contribution to the analysis and selection of various thirdparty solutions and tools that could be used to develop fastertomarket DSP and platform software components that adds value to the product.
• The Engineer should be able to devise methods and tools that could be used for Tuning Acoustic usecases in the vehicle to achieve industryleading Acoustic performance of the Infotainment product.
• Develop DSP algorithms and platform software (i.e. drivers) to cater to the AVAS specification for EV
• Customize integrate and tests Audio Post processing algorithms like Bass/Treble/Mid Boost Loudness control Limiters Echo and Noise cancellation algorithms for Voice usecases.
• Could develop innovative solutions to develop audio subsystem platform software (firmwares and drivers) for audio hardware like I2S I2C GPIO to route the audio output that are connected to DSP hardware.
• Analyse and estimate Clock and memory resources for the audio hardware and DSP solutions being designed and optimize the solution based budgeted resources.

The minimum requirements we seek:

• B.S. in Electrical Computer Engineering or Computer Science.
• 10 years proven working experience in embedded software development.
• Experience in handson development and troubleshooting of embedded audio systems and audio platform software (firmware driver)
• In depth knowledge of Digital signal processing algorithms and hardware to develop various solutions associated with Audio postprocessing algorithms
• Programming experience in C C and Python.
• Strong documentation writing and communications skills.
• Must be willing to learn and dive into unknow areas.

You may not check every box or your experience may look a little different from what weve outlined but if you think you can bring value to Ford Motor Company we encourage you to apply!

Preferred Qualifications:

• Experience on DSP framework tools (i.e. AudioWeaver)
• Experience on and Linux/Android Audio System and Linux/Android platform software development for it.
• Developed DSP algorithms to cater to the AVAS specification for EV
• Customized and integrated Audio Post processing algorithms like Bass/Treble/Mid Boost Loudness control Limiters Engine Sound Enhancement Active Noise cancellation Beam Forming and Voice Recognition.
• Experienced in Specify Design and Develop Audio Tuning protocol for all audio algorithms in a production friendly manner.
• Could develop innovative solutions to develop DSP subsytem in paravirtualized environment where these solutions are portable across multiple platforms.
• Analyse and estimate Clock and memory resources for the DSP solutions being designed and optimize the solution based budgeted resources.