Autonomy Mapping & Localization Engineer

Applied Intuition

Sunnyvale (CA)

Hybrid

USD 147,000 - 200,000

Full time

14 days+
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Job summary

Applied Intuition in Sunnyvale, CA, is seeking a software engineer focused on mapping and localization for autonomous vehicles. You will design and implement a world-class system that runs on a variety of vehicle platforms, providing lifelong mapping and localization in dynamic environments.

Join a fast-moving, customer-focused team that builds best practices in the nascent autonomy industry. You will work hands-on to scale the system, fuse live data with maps, and advance real-time

Qualifications

  • BS 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.

Responsibilities

  • Design and implement a state of the art mapping and localization system capable of running on a variety of vehicle 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

Skills

C++ programming
Mapping & localization
Localization concepts

Education

BS in Computer Science, Robotics or related field

Tools

ROS
SLAM algorithms

Job description

Applied Intuition in Sunnyvale, CA, is seeking a software engineer focused on mapping and localization for autonomous vehicles. You will design and implement a world-class system that runs on a variety of vehicle platforms, providing lifelong mapping and localization in dynamic environments.

Join a fast-moving, customer-focused team that builds best practices in the nascent autonomy industry. You will work hands-on to scale the system, fuse live data with maps, and advance real-time

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