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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Software
Posted
Jul 29, 2022
Salary
$151,000–$265,000 a year
Full-time

Software Engineer - Mapping and Localization

Job description

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;

Job responsibilities

  • Design and implement a state of the art mapping and localization system capable of running on a variety of vehicles platforms, providing lifelong mapping and localization in dynamic environments
  • Build a scalable system that can build local or global map, fuse live data with map
  • Build real time onboard localization with high integrity as well as offboard localization methods
  • Make best use of available resources and sensors including Inertial sensors, vehicle signals, GNSS, cameras, lidars, radars etc for mapping and localization
  • Continuously and relentlessly improve the system performance using large-scale data driven methods rooted in first principles

Job requirements

  • BS in in Computer Science, Robotics, Applied Mathematics, or related engineering field
  • 3+ yrs of experience building software components or (sub) systems that address real-world mapping and localization challenges
  • Deep understanding of the core localization concepts, world representations and transforms, the intersection of mapping of localization, and error analysis and characterization
  • Knowledge about how to analyze and compare the performance of various hardware solutions for localization
  • C++ programming expertise

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