Software Engineering Lead for Autonomous Vehicle Mapping and Localization

4 weeks ago


Mountain View, California, United States Applied Intuition Full time
About Applied Intuition

Applied Intuition is a leading provider of simulation and validation platforms for various industries, including automotive, trucking, construction, and more. Our solutions help companies shorten development cycles, deliver high-quality systems, and accelerate the production of modern vehicles with confidence.

About the Role

We are seeking a highly experienced software engineering lead or manager with expertise in mapping and localization for autonomous vehicles or mobile robots. As a key member of our team, you will lead the development of a top-notch mapping and localization system capable of running on a variety of off-road vehicles, providing lifelong mapping and localization in dynamic environments.

Key Responsibilities:

* Guide the team in designing and implementing a robust mapping and localization system
* Design and implement foundations and cutting-edge tools for users to leverage mapping and localization data
* Apply automated techniques to generate maps from raw data, improving our internal tools for viewing and editing maps
* Scale our systems to support mapping the world by developing robust localization algorithms

Requirements

We're looking for someone with:

* MSc in mapping, localization, or a closely related field
* 2+ years of experience leading a localization, mapping, and/or calibration team
* 6+ years of experience building software components or systems that address real-world mapping and localization challenges
* Deep understanding of core localization concepts, world representations, and transforms
* C++ and/or Python programming expertise

What We Offer

At Applied Intuition, you will have the opportunity to work on cutting-edge technology, collaborate with a dynamic and customer-focused team, and contribute to the development of innovative solutions for the autonomy industry. We offer a competitive salary range of $65,000 USD to $400,000 USD annually, depending on experience.

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