Google veteran Silvius Rus takes on Vice President of Software role at self-driving tech startup Wayve

Self-driving technology company, Wayve, has appointed Silvius Rus as Vice President of Software.

Rus helped deliver the platform software for all of Google’s datacentre 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 its AI development across search, ads, cloud and other areas.

Wayve says that his expertise and leadership will help it build the software required to deploy its AI Driver and support the distributed machine learning workloads that are part of its Fleet Learning technology.

Alex Kendall, Co-founder and CEO, Wayve, says: “I’m truly thrilled to welcome Silvius to our team. With his extensive knowledge of developing embedded software and distributed systems for machine learning, there is no one better suited to lead our Software organisation.”

“Developing AV2.0 requires us to push the boundaries of machine learning infrastructure to train billion parameter neural network models on petabytes of video data obtained from our vehicle fleets. Silvius is an exceptional software leader for this extraordinary software challenge.”

“Having a leader like Silvius is hugely beneficial and exciting for us. We can’t wait to learn from his expertise to drive our software development roadmap forward and evolve our culture to unlock our next level of scale.”

Rus comments: “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.”

“I look forward to leveraging my software leadership experience building and leading innovative teams that pushed the boundaries of technology and have produced some of the most scalable ML systems in the industry (TPU supercomputers).”