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Viaduct

Safer, Smarter, and More Personalized Vehicles
location
Menlo Park, California, United States
stage
Early
size
11-50
About
Viaduct provides an end-to-end machine learning platform to empower automakers to make safe, reliable, and personalized vehicles.

Viaduct’s cloud platform derives actionable insights from connected vehicle data to power applications, such as predictive maintenance, driver identification, and driver safety scores. Deployed in the vehicle, Viaduct’s machine learning solutions intelligently compress and enhance vehicle data to allow the richest data to be transmitted to the cloud in the fewest bytes.
Why Work With Us
We’re a team of technologists, researchers, and machine learning experts solving the hardest problems in the automotive ecosystem.
As a fast-growing startup, our needs are always changing. If you are interested in a role not listed—including leadership positions—and the challenge of helping automakers create a future of safer, smarter, and more personalized vehicles excites you, then this is the right place to join!
Founding Team
member

David Hallac

Founder and CEO
David is the Founder and CEO of Viaduct. His background is in large-scale optimization for time series sensor data. David received his PhD in Electrical Engineering from Stanford University, where he focused on developing mathematical models for finding patterns in temporal data, and his open-source software has been directly used by companies including Volkswagen, Boeing, and Bosch. Prior to Stanford, David received his B.S. in Electrical Engineering from the University of Pennsylvania.