Software Engineering Lead
4 weeks ago
Applied Intuition is a leading provider of vehicle software solutions, accelerating the adoption of safe and intelligent machines worldwide. Founded in 2017, the company delivers AI-powered ADAS/AD toolchains, vehicle platforms, and autonomy stacks to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences.
With 18 of the top 20 global automakers trusting Applied Intuition's solutions, the company serves the automotive, trucking, construction, mining, agriculture, and defense industries. Headquartered in Mountain View, CA, with offices in Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo, Applied Intuition is a dynamic and customer-focused team culture.
About the RoleWe are seeking a software engineering lead or manager with expertise in mapping and localization for autonomous vehicles or mobile robots. The successful candidate will lead our mapping, localization, and calibration team in building a system for an off-road vehicle for autonomous and advanced driver-assistance use cases.
Key responsibilities include guiding the team in designing and implementing a top-notch mapping and localization system, designing and implementing foundations and cutting-edge tools for users, and applying automated techniques to generate maps from raw data.
The ideal candidate will have a deep understanding of core localization concepts, world representations, and transforms, as well as experience with large-scale data processing using frameworks. C++ and/or Python programming expertise is required, with a strong background in relevant algorithms or methods, such as SLAM, probabilistic filtering, non-linear optimization, computational geometry, numerical analysis, or distributed systems.
Compensation at Applied Intuition includes base salary, equity, and benefits, with a pay range of $182,000 - $246,000 USD annually. We are an equal opportunity employer and federal contractor or subcontractor, committed to affirmative action and equal employment opportunity.
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