WaveSense is radically accelerating the arrival of self-driving vehicles by tackling some of the most challenging problems that stand in the way of safe and reliable navigation.
Every road in the world has a unique subsurface signature. WaveSense uses radar to create a map of those subsurface signatures from which self-driving cars can navigate. Vehicles using WaveSense are unaffected by common but challenging road conditions like snow, heavy rain, fog, or poor lane markings.
WaveSense is working with leading autonomous vehicle and traditional automotive companies, is backed by leading investors, is growing quickly, and is building a talented team that wants to transform the future of mobility and work on some of the hardest and most important engineering problems around. If that sounds like you, please drop us a line.
As the Head of Mapping and Localization, you will lead WaveSense's efforts around key engineering and commercial decisions for our radar-based map. Your work will involve developing and driving the architecture for large scale multi-layer high definition maps for autonomous vehicle localization with a focus on radar maps.
WHO YOU ARE + WHAT YOU'LL DO
Further develop, design, and refine the WaveSense mapping strategy.
Understand key technical and performance trade-offs for HD map building.
You’re comfortable thinking about the big picture and the small details. You enjoy making design and architecture decisions.
Rapidly prototype to test and discard hypotheses.
Enjoy working with small, high output teams in a fast paced startup environment.
A “get-it-done” person. You know that done is better than perfect and are energized by constantly delivering and moving things forward.
Deep experience designing and developing high definition mapping systems.
Deep working knowledge of fundamental metrics and physics associated with LIDAR, camera, and related sensors.
3 years or more experience working in high definition map design and development.
Fluent in C++, ROS, and related programming languages.
NICE TO HAVE
PhD or Masters in high definition mapping related field or equivalent experience and knowledge.
Experience working with radar.