July 30, 2018
Zoox in Wonderland!
When the clock struck midnight on July 29, Zoox celebrated its fourth anniversary in Wonderful fashion. Cheers to the friends and family who support us on our journey for sharing the moment with us.
Zoox Turns Four
In July 2014, Tim Kentley-Klay came to California to start Zoox with Jesse Levinson and a handful of troublemakers. Today, Zoox has grown to a crew of over 500 change makers with vehicles driving autonomously all over the valley. Cheers to the most talented yet wild team there is!
JUNE 19, 2018
Zoox @ CVPR
Stop by the Zoox booth at the Conference on Computer Vision and Pattern Recognition (CVPR) to see the latest in our software, sensors and driving capabilities. You'll also get to meet a great team of talented engineers. If you're a talented engineer who can't make it to CVPR 2018, check out our open positions to connect with us.
JUNE 11, 2018
Another amazing talent joins our team – we welcome Brijesh Tripathi to Zoox as VP of Advanced Hardware Engineering. Hailing from Tesla, Apple and Nvidia, Brijesh’s expertise will be put to work to develop the next-generation hardware required to enable autonomous driving.
MAY 11, 2018
Auto Drive From Stanford
To SF Done
Fully autonomous driving was what we were founded to pioneer. Today, Zoox exhibited this with an autonomous drive departing our startup garage on SLAC, driving on 280 to our HQ in Foster City, then on to our office in downtown SF. Over an hour long drive with zero interventions, amazing work by the team.
JANUARY 24, 2018
Zoox CEO, Tim Kentley-Klay, Sits Before The U.S. Senate On Self Driving Cars
The Senate Commerce, Science and Transportation Committee held a field hearing on emerging automotive innovations. Industry leaders, including Zoox founder Tim Kentley-Klay, talked about the opportunities and challenges with self-driving and electric vehicle technology, associated safety concerns, and the potential impact of federal regulations. (Credit: CSPAN)
July 31, 2017
Merging Simulation & Reality
At SIGGRAPH 2017, Tim showed how Zoox uses next generation simulation and advanced neural networks to train its driving A.I. See how Zoox uses synthetic environments to test and validate its software and then transfers those learnings to real-world driving.