#02 of How Software Becomes Driving – Mohammad Ali – Reasoning about the world: Perception → Decision → Control in real vehicles

The BayInCo Podcast brings together technology and industry leaders to explore the forces shaping modern engineering careers and systems. In How Software Becomes Driving, we focus on the transformation of vehicles into intelligent, software-defined platforms capable of reasoning, deciding, and acting safely.

In this episode, Kailash is joined by Mohammad Ali, Chief Architect at Zenseact, a technology leader with extensive experience in autonomous driving, responsible for translating AI research into production-ready vehicles.

Together, they explore:

• What production-level autonomy truly entails

• The challenge of moving from perception prototypes to deployed decision-making systems

• Architecting perception → decision → control pipelines safely at scale

• Safety culture & organizational implications for teams, OEMs, and suppliers

• Risk, safety, and scaling considerations for real-world autonomy

• Future outlook for L3 and L4 vehicles

Mohammad shares a systemic perspective on why autonomous driving is about reasoning safely, not just sensing the world. Success requires rigorous engineering, disciplined architecture, and a culture that prioritizes safety across every level.

A enjoyable episode for anyone working with software engineering, AI, autonomous systems, automotive architecture, or tech leadership.

Disclaimer: The views and opinions expressed in this podcast are solely those of the individuals and do not reflect the views, policies, or positions of any companies or organizations they are affiliated with. This content is for informational and entertainment purposes only.

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