*No longer confined to repetitive testing, hardware verification is entering an era where AI amplifies engineering judgment and expertise.*
*Amit Chaurasiya, Senior Talent Acquisition Specialist, Qualcomm*
Application-specific integrated circuit (ASIC) Verification is the process of ensuring that a system will work as intended before the design is sent to a fabrication unit (such as TSMC) for tape-out. A simple way to understand it is to think of a building’s architecture being verified by architects before construction. Debugging in the verification domain is like finding a fault in a home’s electrical system. When a fault occurs, the goal is not just to notice the problem but to trace it back to its source and understand why it happened. In engineering, this approach is applied at much more complex levels, such as circuit or printed circuit board (PCB) design.

In hardware development, verification focuses on adding reliability to a design before fabrication. It tests whether the system behaves correctly under expected and edge-case conditions,



often going beyond what designers can fully anticipate. While design is about building functionality, verification is about proving that the system will perform correctly in real-world scenarios.

A key part of this work is identifying failures, isolating their causes, and communicating them to designers for correction.

Artificial intelligence (AI) is now reshaping this field by automating debugging, expanding test coverage, and predicting potential failures. As a result, verification is shifting from a manual, experience-based practice to a more predictive and data-driven process.

Role of AI in rising verification complexity

Before discussing how AI is reshaping verification, it is significant to understand the scale and responsibility involved. Modern processor complexity has grown exponentially from the Pentium processor in 1994, with a few million transistors, to today’s Apple M-series chips with tens of billions of tr

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