Embedded ML/DSP Lead

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, Audio signal processing, C++, Data pipelines, Deep Learning, DSPs, Leadership Skill, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, TensorRT

Job Description

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.