Re-Engineering Automotive and Physical AI Development

From Chips to Intelligent Systems with Virtual Engineering, Digital Twins, and AI

The automotive industry is undergoing a fundamental transformation toward software defined systems, driven by electrification, autonomy, connectivity, and continuous in field software evolution. This shift is dramatically increasing system complexity while placing unprecedented pressure on cost, quality, and time to market.

Physical AI is arguably the next related frontier with further broadening requirements on autonomy. This Synopsys solutions overview presents a comprehensive approach to mastering this transformation through a unified silicon to systems engineering paradigm.

By bringing together leadership in electronic design automation, silicon IP, and Multiphysics simulation, Synopsys enables a seamless co-design environment where hardware and software are developed, validated, and optimized concurrently.

​At the core of this approach is the convergence of virtual engineering, open platforms, and AI enabled workflows, powered by multi-domain digital twins spanning physics, electronics, and system behavior.

These digital twins enable “virtual first” development, shifting validation left to reduce integration risks, accelerate software bring up, and ensure system level correctness well before physical prototypes exist.