The development of self-driving cars is one of the biggest technological changes that is under way.

Across the world, thousands of engineers are working on developing self-driving cars. Although it still seems far away, self-driving cars are starting to feel like an inevitability. This is especially true if you spend much time in downtown San Francisco, where you will see a self-driving car being tested every day. Much of the time, that self-driving car will be operated by Cruise.

Cruise is a company that is building a self-driving car service. The company has hundreds of engineers working across the stack, from computer vision algorithms to automotive hardware. Cruise’s engineering requires engineers who can work with cloud tools as well as low-latency devices. It also requires product developers and managers to lead these different teams.

The field of self-driving is very new. There is not much literature available on how to build a self-driving car. There is even less literature on how to manage a team of engineers that are building, testing, and deploying software and hardware for real cars that are driving around the streets of San Francisco.

Mo Elshenawy is VP of engineering at Cruise, and he joins the show to talk about the engineering that is required to develop fully self-driving car technology, as well as how to structure teams to align the roles of product design, software engineering, testing, machine learning, and hardware. 

Full disclosure: Cruise is a sponsor of Software Engineering Daily.

Sponsorship inquiries: [email protected]

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