Using cutting-edge technology, we design and develop custom hardware that power our software stack, such as the sensors (cameras, radars, acoustics, LiDARs), compute and network systems, telematics, and infotainment. Thanks to our deep resources and partners at GM, our Hardware engineers are uniquely positioned to transform the market by designing our sophisticated AV system reliably, at scale.

Our vehicles collect petabyte-scale data daily from their sensors, providing rich information about the world. This data fuels our ML-first approach for critical systems of our AV stack. We enable our AVs to detect objects with high precision and accurately predict the actions of other roadway users. This allows our AVs to safely navigate San Francisco and continuously learn from every ride.

As we master self-driving technology, our mobile and product engineers are designing the Cruise ride-hailing service. From developing an intuitive-to-use mobile application to seamlessly unlocking vehicle doors for customers, our work makes riding in a Cruise self-driving vehicle feel natural and effortless.

The Robotics team fuses AI and ground-breaking robotics algorithms to enable our AVs to think critically and follow through on actions within milliseconds. With Cruise’s tooling, infrastructure, data, and talent, we are able to fully explore different solutions to enable a safe and comfortable ride through the unpredictable and ever-changing situations we encounter in San Francisco daily.

The Embedded Systems team writes and tests the first layer of software that runs on our autonomous vehicles. Our work ranges from interfacing with hardware to moving large amounts of data into the software stack. We connect our vehicles to reality, bridging the gap between the AV’s sensors and actuators and the highly sophisticated self-driving software — all while focusing on quality and safety.

As our self-driving vehicles learn to drive San Francisco’s complex environment, we re-create situations in our simulations and run the equivalent of millions of miles of driving every day. Our highly realistic environments enable engineers to iterate faster and develop new features without ever hitting the road. We focus on automation, easy-to-use tools, and building massively scalable systems.

To accelerate the launch of our AV technology, our Infrastructure team continuously improves reliability, scalability, and developer productivity. From our cloud platform and developer tooling to our highly scalable simulation infrastructure and production network backbone, we build and operate the cloud native infrastructure supporting our AVs and the engineering teams behind them.