Uber is a technology company that is changing the way the world thinks about transportation. We are building technology people use everyday. Whether it's heading home from work, getting a meal delivered from a favorite restaurant, or a way to earn extra income, Uber is becoming part of the fabric of daily life.
We're making cities safer, smarter, and more connected. And we're doing it at a global scale-energizing local economies and bringing opportunity to millions of people around the world.
Uber's positive impact is tangible in the communities we operate in, and that drives us to keep moving forward.
Do you want to push the limits of what is possible in terms of applying artificial intelligence techniques on mobile phones? Recent developments in mobile computing mean that many applications that used to be limited to the cloud can now run on mobile devices and other embedded systems with lower latency, better battery and even when offline.
Uber is looking for adaptable embedded/mobile engineers that want to push the limits on this to enable new sensor and vision-related applications. Do you know the pros and cons of running algorithms on a GPU vs DSP vs CPU? How would you even measure which is better? Know how to milk every last ounce of performance using low-level systems like Vulkan and Metal? And, do you know to do with without melting the phone and putting it into thermal shutdown? Want to work with world-class researchers making their algorithms run on mobile devices?
We’re looking for people who have the following characteristics:
As part of Uber’s larger sensing effort, we are building new capabilities that will allow us extract valuable bits of information from imagery and sensors in order to optimize and augment maps in real time.
This will have a direct impact on both riders and drivers by helping them connect faster and get to their destinations more efficiently and safely. We are looking for an embedded/mobile engineer who is will work with researchers to deliver impact to Uber’s users by pushing processing at the edge as far as is possible.
Be sure to check out the Uber Engineering Blog to learn more about the team.
Uber is an equal opportunity employer and enthusiastically encourages people from a wide variety of backgrounds and experiences to apply. Uber does not discriminate on the basis of race, color, religion, sex (including pregnancy), gender, national origin, citizenship, age, mental or physical disability, veteran status, marital status, sexual orientation or any other basis prohibited by law.