Lead AI Engineer

Honeywell AerospacePlymouth, MN
$174,000 - $218,000Hybrid

About The Position

As a Lead AI Engineer at Honeywell, you will provide expert-level technical leadership in the design and development of AI algorithms, models, and systems. This specific role will be focused on the development of computer vision, artificial intelligence (AI), and autonomy technologies for aerial vehicle platforms. This dynamic role will be responsible for crafting and implementing multi-year research plans, developing, and supporting AI technologies for autonomous vehicle operations, including navigation and obstacle detection. The role includes pursuit of both government and internal funding for technology development, as well as leading the execution of the work with our global team of talented scientists and engineers. Your contributions will play a central role in the design, development, and deployment of advanced AI solutions, contributing to Honeywell's commitment to innovation and cutting-edge technology.

Requirements

  • Expert-level technical leadership in AI algorithms, models, and systems.
  • Experience with computer vision, artificial intelligence (AI), and autonomy technologies for aerial vehicle platforms.
  • Experience in crafting and implementing multi-year research plans.
  • Experience in developing and supporting AI technologies for autonomous vehicle operations (e.g., navigation, obstacle detection).
  • Experience in pursuing government and internal funding for technology development.
  • Experience leading a global team of scientists and engineers.

Responsibilities

  • Provide expert-level technical leadership in the design and development of AI algorithms, models, and systems.
  • Focus on development of computer vision, artificial intelligence (AI), and autonomy technologies for aerial vehicle platforms.
  • Craft and implement multi-year research plans.
  • Develop and support AI technologies for autonomous vehicle operations, including navigation and obstacle detection.
  • Pursue government and internal funding for technology development.
  • Lead the execution of the work with a global team of scientists and engineers.
  • Contribute to the design, development, and deployment of advanced AI solutions.
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