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The automotive industry is shifting from a physical-first testing mindset to a virtual-first engineering approach, driven by the massive rise in software-defined vehicle complexity.
In this episode,, host Suresh Sivavarman sits down with Cedric Armand, Director of Virtualization at Ford Motor Company, to break down the industry's rapid evolution toward software virtualization and simulation. Cedric shares how virtual-first environments enable automotive engineers to run millions of automated regression tests overnight—shifting defect discovery left to prevent costly field failures. Together, they discuss the foundational building blocks of scaling simulation (from virtual ECUs and plant models to cloud-based co-simulation platforms), overcoming the limits of physical HIL benches, managing organizational change for virtual tool adoption, and leveraging AI to accelerate testing efficiency.
Whether you are an automotive software engineer, systems architect, or validation manager, this episode offers a firsthand look at how major OEMs are scaling virtual development to accelerate time-to-market.
In this episode:
00:00 - Introduction: The Shift from Physical Testing to Virtual-First Engineering
03:00 - Defining Virtualization vs. Simulation in Automotive Systems
08:15 - The Massive ROI of "Shifting Left" & Running Automated Regression Tests
16:45 - Beyond HIL Benches: Scaling Virtual ECUs and Cloud-Based Co-Simulation
24:30 - Cultural Change & Organizational Buy-In for Virtual Tool Adoption
32:10 - The Future Role of AI in Diagnosing Test Failures and Streamlining Validation
Thanks for listening!
By ETASThe automotive industry is shifting from a physical-first testing mindset to a virtual-first engineering approach, driven by the massive rise in software-defined vehicle complexity.
In this episode,, host Suresh Sivavarman sits down with Cedric Armand, Director of Virtualization at Ford Motor Company, to break down the industry's rapid evolution toward software virtualization and simulation. Cedric shares how virtual-first environments enable automotive engineers to run millions of automated regression tests overnight—shifting defect discovery left to prevent costly field failures. Together, they discuss the foundational building blocks of scaling simulation (from virtual ECUs and plant models to cloud-based co-simulation platforms), overcoming the limits of physical HIL benches, managing organizational change for virtual tool adoption, and leveraging AI to accelerate testing efficiency.
Whether you are an automotive software engineer, systems architect, or validation manager, this episode offers a firsthand look at how major OEMs are scaling virtual development to accelerate time-to-market.
In this episode:
00:00 - Introduction: The Shift from Physical Testing to Virtual-First Engineering
03:00 - Defining Virtualization vs. Simulation in Automotive Systems
08:15 - The Massive ROI of "Shifting Left" & Running Automated Regression Tests
16:45 - Beyond HIL Benches: Scaling Virtual ECUs and Cloud-Based Co-Simulation
24:30 - Cultural Change & Organizational Buy-In for Virtual Tool Adoption
32:10 - The Future Role of AI in Diagnosing Test Failures and Streamlining Validation
Thanks for listening!