Embedded ML/DSP Lead

Job Description Embedded Machine Learning / Digital Signal Processing Engineer Bose Corporation is a company dedicated to developing breakthrough technologies and quality products that enrich people’s lives.  Bose is a global leader in consumer and automotive audio solutions with over 50 years of success.  We strive to provide compelling experiences for our customers, all the way from their first interaction with an ad or a salesperson through the moment they first play a favorite song on their new audio system. The wireless revolution needs you.  We want you to be part of the team that brings the best in Out-Loud Audio, Wireless Personal Audio and Noise Reduction to life.  We are looking for a hands-on engineer who is interested in applying ML and DSP experience in a development environment. This environment presents unique learning opportunities to explore applying ML to challenging problems related to noise reduction, immersive audio and hearing enhancement. Skills: Strong leadership skills and experience in managing cross-functional teams Hands-on experience porting neural network algorithms from intermediate representations such as TFLite, TFLite Micro, ONNX, etc. onto embedded targets using device-specific compilation tools and/or inference API’s. Deep understanding of on-device quantization techniques including post-training quantization, training-aware quantization, mixed precision inference. Conceptual understanding of how neural network operators map to embedded hardware accelerators such as DSP’s and NPU’s. Familiarity with Deep Learning Audio Signal Processing approaches for tasks including Speech enhancement / noise suppression / voice pickup Audio understanding / scene classification Hearing assistance Experience integrating DSP and AI-powered algorithms into audio block processing pipelines. Comfortable coding in modern C , Python, MATLAB Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Experience with ML training frameworks such as Tensorflow and/or Pytorch a plus. Experience with the audio processing stack on MATLAB and/or Python a plus. Experience: Leading projects or teams of engineers in deploying innovative solutions to challenging audio problems by porting neural network algorithms to edge or embedded devices. Defining project scope, timelines, deliverables and ensuring successful execution of projects. Experience collaborating with cross functional teams across research and development organizations. Mentoring junior team members Education: BS in Computer Engineering, Electrical Engineering or other Signal Processing related degree. MS preferred 8-10 years of relevant work experience Bose is an equal opportunity employer that is committed to inclusion and diversity. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. For additional information, please review: (1) the EEO is the Law Poster (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf); and (2) its Supplements (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm). Please note, the company's pay transparency is available at http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf. Bose is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please send an e-mail to Wellbeing@bose.com and let us know the nature of your request and your contact information. Candidate Privacy Notice Candidate Terms & Conditions Cookie Notice We’re a company built on disruptive innovation—having the courage to challenge the status quo, an unwavering commitment to our customers, and the fundamental belief that anything is possible. We never settle; we have a passion for discovering better ways to help people enjoy the things they love. We need people like you, people with better solutions. If you join us, you’ll find the opportunity to do your best work and the freedom to enjoy it. Here, every employee has the opportunity to build their own success and contribute to ours. It’s an atmosphere of trust, collaboration, high expectations, and great reward.