Staff Software Engineer, Localization and Mapping

Agility RoboticsSalem, OR
45dRemote

About The Position

Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff software engineer to own the design and development of localization and mapping algorithms.

Requirements

  • 5+ years of experience deploying localization and mapping algorithms on mobile robots with at least a year of experience in a technical leadership role
  • Strong mathematical fundamentals in 3D geometry, linear algebra, probability theory, and numerical optimization
  • Deep proficiency in related technical areas such as (but not limited to) factor graphs, visual/LiDAR inertial odometry, bundle adjustment, sensor fusion, and filtering
  • Familiar with local obstacle map representations such as voxel maps and truncated/euclidian signed distance fields
  • Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures

Nice To Haves

  • Experience with machine learning based SLAM approaches
  • Experience in 6 DOF object tracking
  • Publications in your field (CVPR, ICCV, RSS, ICRA preferred)

Responsibilities

  • As technical lead you will own the architecture and technical roadmap for the localization and mapping team
  • Design, develop, and deploy algorithms that enable large scale warehouse navigation, collision aware motion planning in dynamic environments, and scene understanding
  • Drive the development of state of the art perception algorithms, from initial research and prototyping to deployment
  • Promote best practices in architecture, design, and testing to deliver high-quality, scalable software
  • Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Machinery Manufacturing

Education Level

No Education Listed

Number of Employees

101-250 employees

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