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How is Software Rewriting Automotive Engineering? A Conversation with Synopsys CEO Sassine Ghazi

Six Five Media

Release Date: 01/14/2026

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Six Five is at CES in Las Vegas, inside the Automotive Hall, where the shift is unmistakable. Cars are no longer engineered as machines. They’re being built as complex computing systems.

Patrick Moorhead and Daniel Newman sit down with Sassine Ghazi, CEO of Synopsys, to unpack how automotive engineering is being reshaped as software, electronics, physics, and AI converge. For many automakers, the challenge is no longer packing in horsepower or sculpting sheet metal. It’s how to design, validate, and ship millions of lines of code safely, efficiently, and on schedule.

The conversation looks at why modern vehicles increasingly behave like rolling computers and where things tend to break down as cars become more software-defined. Sassine explains why designing software, silicon, and physical systems in isolation no longer works, and how aligning these pieces early can improve timelines, cost, and safety. The lesson is straightforward. The future of automotive innovation will be written in software, and the winners will be the companies that learn to design it all together from the start.

Key Takeaways:

🔷 Cars are becoming software-defined systems:  Modern vehicles are increasingly governed by software, turning automotive engineering into a complex systems problem rather than a purely mechanical one.

🔷 Siloed design does not scale: Designing software, silicon, and physical systems separately creates downstream risk, delays, and cost overruns once vehicles move toward production.

🔷 AI is changing engineering workflows right now: Accelerated computing and AI-driven tools are already reshaping how vehicles are designed, tested, and validated through virtual prototyping and deeper ecosystem collaboration.

🔷 Virtual-first development is getting real: Automakers are shifting away from expensive physical prototypes toward software-driven simulation and validation, enabling faster iteration, fewer surprises, a clearer path from concept to production, and better overall outcomes.


Learn more at Synopsys.

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