Originally published on Alpinum Consulting website
The DESN “Designing the Future: Analogue Mixed Signal (AMS)” event in London brought together engineers, architects, and industry leaders to explore the evolving challenges of analogue and mixed-signal design. While discussions covered architecture, applications, and emerging technologies, one theme stood out clearly: verification of AMS systems is becoming increasingly complex and requires a more structured, system-level approach.
This blog highlights the key technical insights from the event and their implications for engineering teams working on modern semiconductor designs.
Why AMS Verification Is Becoming More Challenging
Analogue and mixed-signal systems sit at the intersection of continuous and discrete behaviour. Unlike purely digital systems, verification must account for:
Interaction between analogue and digital domains
Sensitivity to noise, variation, and environmental conditions
Behaviour across multiple abstraction levels
As system complexity increases, traditional verification approaches become harder to scale. Teams often rely on fragmented methods, which can introduce coverage gaps and reduce confidence at sign-off.
This reinforces the need for structured verification methodologies such as those applied in Alpinum Consulting’s work in https://alpinumconsulting.com/services/designverification/
System-Level Challenges Are Now Central
A key takeaway from the event was that many failures no longer originate within individual blocks, but at** the interfaces between systems.**
Challenges discussed included:
Signal integrity and interference across domains
Integration of analogue, digital, and software components
Increasing use of multi-die and heterogeneous architectures
These issues require a shift from circuit-level thinking to system-level verification strategies, where behaviour is analysed across the full design context rather than in isolation.
The Role of AI and Automation in AMS Workflows
Another strong theme was the growing role of AI and automation in supporting design and verification.
Modern toolchains are evolving to enable:
Earlier verification in the design cycle
Improved co-simulation between analogue and digital domains
Faster identification of critical design sensitivities
AI-driven approaches are not replacing engineers, but augmenting decision-making by enabling more efficient exploration of design trade-offs and constraints.
Structured Design Migration and Verification Approaches
A notable presentation highlighted structured methodologies for design migration between technologies.
Key elements included:
Accurate device mapping between source and target nodes
Simulation-driven validation to guide decisions
Sensitivity-based optimisation to focus on critical elements
Preservation of layout intent to maintain performance
These approaches demonstrate how structured engineering processes can significantly reduce iteration cycles while maintaining design integrity.
Industry Direction: Growth, Complexity, and Talent Gaps
The event also reflected broader semiconductor trends:
Growth driven by AI, electrification, and advanced computing
Increasing demand for complex mixed-signal systems
Shortage of experienced analogue engineers
As systems scale, the combination of technical complexity and limited expertise makes verification discipline even more critical.
What This Means for Engineering Teams
For engineering teams, the implications are clear:
Verification must be planned at the system level, not added late
Integration risks must be addressed early in the lifecycle
Structured methodologies are essential for scalability
Collaboration across analogue, digital, and system teams is critical
Teams that continue to rely on ad-hoc or fragmented approaches will struggle to maintain confidence at sign-off as complexity grows.
For those looking to strengthen capability in this area, targeted training and structured methodologies can help bridge the gap between theory and practical application:
👉 https://alpinumconsulting.com/services/training/
Conclusion
The DESN AMS event highlighted a clear shift in the industry. Verification is no longer a supporting activity. It is a central engineering discipline that determines whether complex systems can be delivered with confidence.
As analogue and mixed-signal designs continue to evolve, success will depend on:
Structured verification strategies
System-level thinking
Effective use of automation and AI
Continuous development of engineering capability
For organisations working at the forefront of semiconductor design, adapting to this shift is not optional. It is essential.
Explore More
For further insights on verification challenges and methodologies:
👉 https://alpinumconsulting.com/resources/blogs/verification/
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