Our world-class partners enable us to take the fastest route to a safe and scalable AI Driver
“Looking at how fast AI is advancing, I simply cannot imagine a future without autonomous vehicles. It’s a matter of when, not if, autonomy will benefit humanity at scale across geographies, cultures and development levels. I deeply value the opportunity at Wayve to help make autonomous driving a reality in a way that is widely applicable both from engineering and commercial viewpoints.”
Silvius is responsible for building a world-class Software organisation to build Fleet Learning technology to train and deploy Wayve’s AI Driver software at scale. Developing AV2.0 requires his team to push the boundaries of machine learning infrastructure to train billion-parameter neural network models on petabytes of video data obtained from fleets of vehicles.
With his extensive knowledge of developing embedded software and distributed systems for machine learning, Silvius leads our Software organisation, including robotics, data, compute, machine learning, and infrastructure.
Before Wayve, Silvius was instrumental in delivering the platform software for all of Google’s datacenter compute infrastructure, including machine learning and Cloud Infrastructure as a Service (IaaS) platform. While there, he grew the software organisation to 250 engineers to deliver the on-device and infrastructure software for Google’s TPU ML accelerators, which power Google’s AI development across Search, Ads, Cloud and other areas.
Silvius has a PhD in Computer Science from Texas A&M University with a focus on High Performance Computing.