You will design, train, and optimize machine learning models specifically for consumer audio applications with a focus on edge device efficiency. You will collaborate with cross-functional teams including software, embedded, and hardware engineers to deploy these models into real-world products.
You will design, implement, and test DSP algorithms for audio, speech, and microphone array applications. You will also collaborate with cross-functional teams to integrate and validate these algorithms on embedded, real-time systems.
Lead the end-to-end system architecture for complex audio products by defining interfaces, functional boundaries, and resource allocations. Drive technical tradeoffs across hardware, software, DSP, and acoustics to ensure coherent and scalable system performance.
Design and develop advanced audio signal processing and machine learning algorithms for applications like noise suppression and spatial audio. Translate research ideas into scalable, real-world solutions deployed on production hardware.
You will architect complex embedded hardware and software solutions for future Bose technologies, focusing on edge AI and audio integration. Additionally, you will develop agentic AI workflows and simulations to stress-test architectures and accelerate engineering exploration.
The Chief Product Engineer will lead the technical strategy for licensing audio technologies, ensuring modularity and integration across third-party platforms. This role involves overseeing the development of technical data packages, tuning tools, and providing deep-dive support to manufacturing partners.
The Technical Marketing Lead serves as the technical face of Bose Luxury, providing system design consultation, installation support, and hands-on product demonstrations. They are responsible for leading technical training initiatives and facilitating partner enablement across the North American market.
