Principal Systems Architect – Edge AI

This is a fully remote position, open to applicants in California.

📋 Description

• Design intricate embedded hardware/software solutions for upcoming Bose technologies.

• Assess new ideas for their technical viability, architectural compromises, risks, and scalability.

• Convert audio, sensing, machine learning, and artificial intelligence technologies into reusable system architectures.

• Create simulations, prototypes, and experiments to test potential solutions.

• Develop agentic AI workflows and a reusable AI-enabled engineering framework for architecture exploration and verification.

• Conduct stress tests on architectures regarding power, compute, memory, latency, performance, and security.

• Design Bose algorithms, models, frameworks, and intellectual property for secure integration into third-party systems.

• Shape the future Bose technology roadmap through expertise in embedded AI, silicon, audio, and edge computing.

• Offer Principal-level technical guidance across Bose Labs, engineering teams, suppliers, and external partners.

⛳️ Requirements

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related field, or equivalent practical experience.

• Extensive experience in developing or architecting complex embedded hardware and software systems.

• Profound systems architecture experience spanning both hardware and software.

• Familiarity with embedded processors, SoCs, DSPs, real-time systems, and Linux-based platforms.

• In-depth knowledge of digital audio signal processing and audio system architectures.

• Experience in implementing or deploying machine learning models on embedded or edge devices.

• Understanding of edge-ML limitations, including compute, memory, power, latency, and hardware acceleration.

• Proven experience using AI to tackle significant technical challenges with measurable engineering or business outcomes.

• Background in developing AI agents, agentic workflows, or AI-enabled engineering systems.

• Experience in AI/ML model development, training, evaluation, or optimization.

• Familiarity with AI-enabled simulation, design-space exploration, or technical verification.

• Knowledge of TinyML, NPUs, DSP-based ML acceleration, or heterogeneous computing.

• Experience in audio ML, speech processing, spatial audio, or intelligent noise management.

• Background in architecting advanced audio products or embedded audio systems.

• Experience in hardware/software co-design, secure embedded architectures, SDKs, frameworks, or reference designs.

• Experience collaborating with semiconductor vendors, technology partners, third-party integrators, or licensing models.

🏝️ Benefits

• Bonus programs.

• Comprehensive health and welfare benefits.

• 401(k) plan.

• Exclusive perks designed to enhance your wellbeing.

• Generous employee discount.

• Compensation that exceeds base salary.