Sr. Automotive Audio Engineer, Amazon Smart Vehicles - Job ID: 2930065 | Amazon.jobs Skip to main content

Sr. Automotive Audio Engineer, Amazon Smart Vehicles

Job ID: 2930065 | Amazon.com Services LLC

DESCRIPTION

Do you have a passion for Automotive?
Do you want to challenge the status quo of the digital cabin experience?
Do you want to take on ambiguous automotive LLM challenges?
If you answered yes to these questions, we have a dream job for you.

As a Sr. Automotive Audio Engineer, you will be responsible for audio and acoustic readiness for bring Large Language Models (LLM) and Large Acoustic Models (LAM) into cars. You will create test standards, review them with stakeholders, and conduct performance tests for new products such as LLM-based Alexa+ (https://www.aboutamazon.com/news/devices/new-alexa-generative-artificial-intelligence) and Alexa Custom Assistant (https://developer.amazon.com/en-US/blogs/alexa/alexa-auto/2024/12/bmw-group-is-the-first-oem-to-deliver-voice-technology-using-ale). You will work with internal teams to define product performance metrics. You will help fine tune acoustic models to support new products. You will work with external partners to help improve our product performance in their vehicle audio hardware and environment. You will gather data on a number of vehicles and conduct benchmark studies. You will work with commercial tools and develop new tools to scale data for various speech profiles using digital signal processing techniques. You will write algorithms and share them with internal teams to improve automation of data acquisition and processing for custom needs. You will create new validation requirements for the products and features in LLM era. You will work with automotive OEMs and Tier 1s to review and make sure they adhere to the Amazon certification specification.


Key job responsibilities
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers.
· Work with other internal teams and external partners on best known test and simulation methods for acoustic data generation and application
· Lead design reviews and cross-functional meetings on performance metrics and improvement of data sets
· Evaluate commercial tools and products and integrate them with internal workflows as necessitated
· Travel to guide internal teams and external partners for tuning of audio hardware and algorithms
· Collaborate with research scientists and software engineers to tune and optimize audio signal processing algorithms for speech processing
· Contribute to refining best practice methods
· Develop and maintain a high bar for user experience
· Write white papers / application notes to guide OEMs and Tier 1s
· Generate and participate in product ideation and reviews with product leadership
· Requires travel 10-20% of the time domestically and internationally

BASIC QUALIFICATIONS

- Bachelor’s degree in Acoustics, Physics, EE, ME or related field
- 7+ years of relevant experience in automotive audio product development
- Knowledge of audio digital signal processing
- Knowledge of ITU and ETSI standards for speech, voice and telephony testing
- Experienced with writing Matlab or Python scripts for acoustic testing and data analysis
- Experienced with acoustic measurement instruments - free field microphones, binaural manikins, mouth simulators etc.
- Experienced with audio data acquisition and analysis systems such as ACQUA, Audio Precision, etc.
- Understanding of analog/digital MEMS microphone specs
- Understanding of beamforming array technology

PREFERRED QUALIFICATIONS

- Experience with the project management of technical projects
- Master's or PhD in the relevant field
- Track record of inventing new acoustic design for speakers, headphones or microphone array applications
- Experience with developing, tuning and testing Echo Cancellation and Noise Reduction (RCNR) algorithm
- Experience working on high volume consumer electronics
- Writing and / or contributing to automotive, audio and acoustic industry specifications

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.