You know the moment. It’s the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying “hello.” It’s in these moments that sound matters most. 

At Bose, we believe sound is the most powerful force on earth. We’ve dedicated ourselves to improving it for nearly 60 years. And we’re passionate down to our bones about making whatever you’re listening to a little more magical. 

The engineering team at Bose is a thriving, passionate, deeply skilled team of professionals from a broad range of disciplines and experiences, who share a common goal—to create products that provide transformative sound experiences.

Job Description

Bose Corporation has a long history of creating innovative high-performance wearable devices, and home entertainment and automotive systems, encompassing both audio rendering and noise control. Our applied research fuels future generations of Bose products in consumer electronics and automotive systems.

Our Advanced Systems Research team builds AI-powered signal processing algorithms that break through the performance barriers of traditional DSP. We’re looking for innovative machine learning engineers to help us realize breakthrough performance in a wide variety of signal-processing applications by marrying deep neural networks (DNNs) and traditional digital signal processing (DSP).

We offer an excellent working environment with a collaborative, team-oriented approach, and flexible working hours.

In this role, you will:

• work on problems in noise cancellation, audio processing, situational awareness, and more
• develop and extend novel hybrid DNN/DSP architectures to unlock the potential of DNNs in low-latency real-time signal processing environments
• work closely with product development teams to ensure that your models can be deployed onto product hardware
• be part of a diverse and distributed community of AI/ML practitioners within Bose

Required qualifications and experience:

• strong understanding of machine learning concepts
• strong understanding of DSP with experience in adaptive filters
• strong track record of applying deep neural networks to signal-processing problems (including 3+ years impactful hands-on experience with DNNs)
• implementation of real-time (small or practical) systems
• ability to develop in Python, Matlab, Simulink, and TensorFlow
• strong understanding of one of the major model training frameworks (e.g., PyTorch or TensorFlow) and ability to reimplement cutting-edge deep learning algorithms from scratch
• solid software engineering skills (including but not limited to version control and testing)
• strong oral and written communication skills

Education:

• MSEE or MSCS with a minimum of 6 years related work experience, Ph.D. in EE or CS with 3+ years of experience preferred.

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 [email protected] and let us know the nature of your request and your contact information.

Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice. We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.

If you believe you need a reasonable accommodation, please send a note to [email protected]