[Hiring] Principal Systems Architect - Edge AI @Bose Corporation

Role Description

Bose is building the technologies that will define the next generation of audio experiences. Within Audio Technology, 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.

• 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.
• Change how architecture itself is done by building AI agents, simulations, and automated engineering loops that accelerate architecture exploration and stress-test candidate solutions against system requirements and constraints.

What You’ll Do:

• 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.

Qualifications

• 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.

Requirements

• Experience developing AI agents, agentic workflows, or AI-enabled engineering systems.
• Experience with 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.
• 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.

Benefits

• Competitive base pay with a thoughtfully tailored compensation package based on skills, experience, education, and location.
• Bonus programs.
• Comprehensive health and welfare benefits.
• 401(k) plan.
• Exclusive perks designed to support your wellbeing.
• Generous employee discount on products and experiences.