Sr Software Engineer, Sensor Fusion
San Francisco, CA, USA | Uber
Industry:Internet / Online Media
Job Description:130 people have viewed this job
About the Role
Location, safety and experience of rider and drivers are important building blocks of Uber experience. We are looking for an experienced technologist who can guide sensor fusion related research projects. This team is responsible for the accuracy of the blue dot and sensor fusion based inferences at Uber.
What You’ll Do
Lead research projects spanning signal processing, sensor fusion, positioning using GPS / GNSS, WiFi, inertial sensors and high-performance engineering systems to deliver critical insight to core business flows
Productize sensor fusion and machine learning algorithms for better location accuracy, driver/rider safety and other inferences used in Uber product
Serve as a resource for other individuals on the team-- mentoring junior engineers and advising leaders
Bridge industry and research, keeping the team focused on high-value problems at the cutting edge of emerging trends
Build the team’s profile both internally and externally, attending and presenting at conferences
What You’ll Need
Experience in the field of location and state estimation: GPS/GNSS, GPS IMU fusion.
Experience applying state estimation (Kalman filters, extended Kalman filters, particle filters, etc.), signal processing, sensor fusion for determining position
Excellent programming and algorithmic skills (we mainly use Java & Python)
10+ years experience with track record of shipping high-impact research projects
Bonus Points If
PhD in related field (signal processing)
Prior work in the areas of indoor location, pedestrian dead reckoning at the software layer.
Experience working with other sensor types (audiovisual, barometric, etc.) or with mobile devices of varying quality
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