Principal Systems Architect – Edge AI

🔥 2 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $168.3k - $231.4k / year

⏰ Full Time

🔴 Lead

⚙️ Systems Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Bose Corporation

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🚘 Automotive

🏭 Manufacturing

🍽️ Food & Beverage

💰 $430.2k Equity crowdfunding on 2017-12

Automotive • Manufacturing • Food & Beverage

<Bose Corporation> is a global audio equipment company that designs, manufactures, and sells consumer and professional sound products, including headphones, earbuds, speakers, home theater systems, portable PA systems, and aviation headsets. The company operates direct-to-consumer online retail, offers protection plans and trade-in programs, and provides support services like repairs and corporate gifting. Bose emphasizes premium audio performance, noise-cancellation technology, and lifestyle-oriented marketing.

📋 Description

• 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 understanding of embedded AI, silicon, audio, and edge computing • Provide Principal-level technical leadership 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 • 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 • 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

• Bonus programs • Comprehensive health and welfare benefits • 401(k) plan • Exclusive perks designed to support your wellbeing • Generous employee discount • Compensation beyond base salary