Systems Architect, Edge AI

Bose Corporation•Framingham, MA

1d•$168,300 - $231,450•Onsite

About The Position

Bose is building the technologies that will define the next generation of audio experiences. Within Bose Labs, SEA&P transforms emerging technology into reusable architectures, technology building blocks, platforms, and reference designs that can scale across products, businesses, and technology partners. We are seeking a Principal Systems Engineer – Systems Architect, Edge AI to help architect that future. This is a deeply technical and creative role at the intersection of embedded systems, audio, machine learning, and AI-enabled engineering. You will assess new ideas, explore system architectures, prove technical feasibility, and help turn promising technologies into scalable Bose platforms and reusable IP across environments ranging from low-power wearables to phones, PCs, Macs, and Linux-based embedded systems. A defining part of the role is also changing how architecture itself is done. You will build AI agents, simulations, and automated engineering loops that accelerate architecture exploration and stress-test candidate solutions against system requirements and constraints.

Requirements

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related field, or equivalent practical experience.
Significant experience developing or architecting complex embedded hardware and software systems.
Strong systems architecture experience across hardware and software.
Experience with embedded processors, SoCs, DSPs, real-time systems, and Linux-based platforms.
Strong knowledge of digital audio signal processing and audio system architectures.
Experience implementing or deploying machine learning models on embedded or edge devices.
Understanding of edge-ML constraints including compute, memory, power, latency, and hardware acceleration.
Demonstrated experience using AI to solve meaningful technical problems with measurable engineering or business impact.

Nice To Haves

Experience developing AI agents, agentic workflows, or AI-enabled engineering systems.
Background in AI/ML model development, training, evaluation, or optimization.
Experience with AI-enabled simulation, design-space exploration, or technical verification.
Experience with TinyML, NPUs, DSP-based ML acceleration, or heterogeneous compute.
Experience with audio ML, speech processing, spatial audio, or intelligent noise management.
Demonstrated experience architecting advanced audio products or embedded audio systems.
Experience with hardware/software co-design, secure embedded architectures, SDKs, frameworks, or reference designs.
Experience working with semiconductor vendors, technology partners, third-party integrators, or licensing models.

Responsibilities

Architect complex embedded hardware/software solutions for future Bose technologies.
Evaluate new concepts for technical feasibility, architectural tradeoffs, risk, and scalability.
Translate audio, sensing, ML, and AI technologies into reusable system architectures.
Build simulations, prototypes, and experiments to evaluate candidate solutions.
Develop agentic AI workflows and reusable AI-enabled engineering infrastructure for architecture exploration and verification.
Stress-test architectures across power, compute, memory, latency, performance, and security.
Architect Bose algorithms, models, frameworks, and IP for secure integration into third-party systems.
Influence the future Bose technology roadmap through deep understanding of embedded AI, silicon, audio, and edge computing.
Provide Principal-level technical leadership across Bose Labs, engineering teams, suppliers, and external partners.