By Stephen Harber, content strategist, GM talent marketing By Stephen Harber, content strategist, GM talent marketing Validating advanced driver-assistance and automated driving systems at GM scale means testing millions of possible scenarios before a vehicle ever reaches the road. Simulation has become one of the most important tools for making that possible. Aamir Ali is part of the team that helps expand that capability across GMâs AV organization, bringing experience in large-scale software platforms, safety infrastructure, and autonomous vehicle development to one of the most complex validation challenges in the industry. Aliâs path into automated driving wasnât linear. He began his career in India studying mechanical engineering, then moved into infrastructure roles at Google, where he spent more than a decade building internal platforms for products including AdWords and YouTube. Later, he joined Zoom during one of the companyâs fastest growth periods, working on trust and safety systems. Then he entered the autonomous vehicle space at Cruise, where he helped develop simulation environments used to validate self-driving software. During his time there, the team shifted a large portion of testing from physical vehicles to virtual environments, allowing engineers to evaluate more scenarios and iterate faster while continuing to prioritize safety. Now at GM, that experience is being applied at a much larger scale. With a global vehicle portfolio and diverse driving conditions, validating AV and automated driving features requires tools that can handle far more scenarios than road testing alone. Simulation allows engineers to model edge cases, accelerate development cycles, and improve confidence in system performance before vehicles reach the road. See how Aamir Ali is helping GM expand simulation-driven development â and why that shift is critical to the future of AV and automated driving. What excites you most about applying simulation-driven development at GM? GM has an incredible