Embedded Systems in the Age of AI: What’s Changing and What Still Matters

Embedded systems are entering a period of rapid change driven by rising system complexity, always-connected devices, and the early impact of AI on both development workflows and products themselves. What was once a siloed discipline—bare metal firmware on fixed hardware—has become a multidisciplinary stack spanning silicon, operating systems, security, connectivity, cloud integration, and now machine-learning at the edge.

In this talk, Lance Harvie draws on years of experience as an engineer and specialist recruiter to map how embedded development has evolved from EPROM-based systems to modern SoCs running Embedded Linux and AI-assisted toolchains. He breaks down where AI is already affecting firmware, PCB, and chip design, where the hype exceeds reality, and why “vibe coding” carries real risk in safety-critical and production hardware.

The session also cuts through hiring myths:

• Why most embedded job descriptions are unrealistic.
• What skills are genuinely in demand.
• Why strong fundamentals, system-level thinking, and communication matter more than ever.
• How engineers should position themselves as AI tools and automated recruitment processes become standard.

This is a practical, experience-driven view of where embedded systems are heading, what engineers need to learn next, and what still matters if you want to build reliable products and long-term careers in an AI-shaped industry.