Job Description
ABOUT BOSE
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. And we’ve dedicated ourselves to improving it for nearly 60 years. Ever since our founder, Dr. Amar Bose, bought a stereo system and thought, “I can make this better,” we’ve been relentlessly pushing forward to the next best thing.
Innovation is more than what we do. It’s who we are — constantly learning and constantly curious. We never stop imagining what better sound sounds like. We’re music fanatics and audio engineers. We’re explorers and inventors and dreamers. And we’re passionate down to our bones about making whatever you’re listening to a little more magical.
THE PROGRAM
We’re looking for students to join our Co-Op Program who are obsessively curious about ’what’s next’. You’ll get hands on experience with our products and learn from the best of the best in the business. You will immerse yourself into Bose for 6 months and get the opportunity to grow the skills your learned in the classroom with hands on work experience. By the time you end your time with us, you will have been given the opportunity to truly make a real impact in the future of Bose and your career!
Opportunities don’t stop at your day-to-day work. While you’re getting an in depth look at your area of expertise, we’ll expose you to other areas of the company. Our Co-Ops are given the opportunity to connect with senior leadership across the business to understand different perspectives at Bose. You’ll network with other Co-Ops and colleagues to grow your network for the future!
Timeframe - July-December 2023
THE ROLE
The Control and DSP group within Bose’s Research Organization is responsible for designing first-of-a-kind technology to help people hear what they want—and to not hear what they don’t want. Our members possess a mix of backgrounds in areas such as engineering, computer science, mathematics, acoustics, physics, and music. In the Bose tradition, we focus not only on developing cutting-edge technical solutions but, also, on developing products that deliver unparalleled end-to-end user experiences. We are looking for an aspiring scientist or engineer with a strong background in signal processing and control to help us prototype and implement new algorithms for our next generation of noise cancellation products. Examples of specific projects you could work on include:
- Designing new control algorithms to suppress external sound in noise-canceling headphones.
- Experimenting with real-time machine learning algorithms as a replacement for traditional feedback architectures.
- Designing sensor fusion algorithms to automatically detect how a user is engaging with a product to increase performance.
The ideal candidate for this position is someone with a strong theoretical research background in either signal processing or control theory who is interested in learning how they can apply that background in an applied research setting.
Responsibilities
The primary responsibilities for this position include:
- Prototyping and implementing new signal processing and control algorithms.
- Performing analyses of algorithms on collected datasets, developing visualizations, and presenting your results.
- Integrating solutions into existing form factors/hardware when appropriate.
In addition to the above, your role may involve some of the following:
- Collecting audio data to create datasets of acoustic measurements.
- Helping to run studies to obtain data from human participants.
- Participating in code and/or design reviews.
- Performing literature reviews on various research topics and presenting your findings to our team.
Required Skills
- Very strong background in signal processing and control concepts: time and frequency analysis, sampling of continuous signals, linear filter design, feedback, stability, etc.
- Pursuing or just completed a degree in engineering, computer science, mathematics, or a related field.
- Familiarity with material covered in introductory linear algebra and probability and statistics courses.
- Fluency in MATLAB.
- Solid presentation and communication skills.
Preferred Qualifications
- Pursuing or about to pursue an M.S. or Ph.D. degree.
- Experience working with data from physical sensors (e.g. IMU, GPS, microphone, EEG, etc.)
- Familiarity with standard software development practices (version control, virtual environments, etc.)
- Background in nonlinear systems.
Nice-to-Haves
- Hands-on familiarity with machine learning techniques.
- Experience collecting sensor data from human subjects.
- Experience coding in Python with standard computational packages (numpy, pandas, statsmodels, sklearn, etc.)
- Experience using Jupyter notebooks with some kernel (MATLAB, Python, R, Julia, etc.)
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.