Principal AI Engr

Honeywell Aerospace US LLC; Phoenix (AZ); On-site; USD 165,000 - 240,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Disability coverage

401(k) match

Educational assistance

Parental leave

Paid holidays

Paid time off

Job summary

Honeywell Aerospace is seeking a Lead AI Engineer in Phoenix to drive the design and development of AI algorithms, models, and systems for aerial platforms. You will lead multi-year research plans and supervise a global team of scientists and engineers while pursuing government and internal funding.

The role focuses on computer vision, AI and autonomy technologies for UAV/UAM platforms, including navigation and obstacle detection, delivering advanced AI solutions to empower autonomous operations.

Qualifications

• Master's degree or PhD in robotics, aerospace engineering, or related field.
• Minimum 5 years developing AI or computer vision for autonomy in aerospace.
• Proven track record winning contracts (> $500k) with DARPA, ARL or other government agencies.
• Mastery expertise in research and development of computer vision and AI for aerospace applications.
• Experience leading complex R&D programs for internal customers and external government customers.
• Ability to lead direct and indirect reports by influence.

Responsibilities

• Lead the development of complex AI solutions to address specific business needs, ensuring scalability, efficiency, and robustness.
• Drive AI, Computer Vision and Autonomy technology strategy development
• Define and lead research into new and novel techniques for AI across aerospace applications
• Drive technology transitions and productization of key AI and computer vision technologies to develop hardware, software, edge solution and integrate it onto UAV/UAM platforms
• Provide mentorship and guidance to AI engineers, fostering a culture of continuous learning, innovation, and technical excellence.

Skills

AI algorithms

Computer vision

Autonomy

Leadership

Mentorship

Education

Master’s degree or PhD in robotics or aerospace engineering

Tools

Python

TensorFlow

PyTorch

Job description

As a Lead AI Engineer here at Honeywell Aerospace, 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 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, obstacle detection, etc. 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.

Responsibilities

KEY RESPONSIBILITIES

• Lead the development of complex AI solutions to address specific business needs, ensuring scalability, efficiency, and robustness.
• Drive AI, Computer Vision and Autonomy technology strategy development
• Define and lead research into new and novel techniques for AI across aerospace applications
• Drive technology transitions and productization of key AI and computer vision technologies to develop hardware, software, edge solution and integrate it onto key Unmanned Aerial Vehicles (UAV) and Urban air Mobility (UAM) platforms
• Provide mentorship and guidance to AI engineers, fostering a culture of continuous learning, innovation, and technical excellence.

Qualifications

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. citizen, U.S. permanent resident, or have asylum or refugee status in the U.S.

YOU MUST HAVE

• Master’s Degree or PhD from an accredited institution in a technical discipline such as robotics, aerospace engineering, or related field.
• Minimum 5 years’ experience developing AI or computer vision algorithms for autonomy, navigation and other aerospace applications utilizing perception, navigation and AI
• History of proposing and winning (>$500k) contracts with DARPA, ARL or other government agencies
• Mastery expertise in areas of research and development of computer vision and AI for aerospace applications
• Demonstrated experience leading complex technical R&D programs for internal customers and external government customers
• Ability to lead direct and indirect reports by influence

WE VALUE

• Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
• Strong leadership and management skills.
• Experience deploying complex computer vision solutions on unmanned systems for autonomy applications such as automatic landing/takeoff, landmark navigation, visual odometry, optical flow, target tracking or detect and avoid
• Deep experience and knowledge of state of the art research from top international conferences and journals in the area of robotics, computer vision and/or machine learning
• Writing and winning government funded proposals, especially for AI, autonomy and computer vision
• Ability to work in a fast-paced and dynamic environment.
• Attention to detail and excellent problem-solving capability.

BENEFITS

Beyond a performance-driven salary, you'll work alongside dedicated experts on technology that's advancing aviation. As a Honeywell Aerospace employee, you're eligible for a comprehensive benefits package that includes:

• Employer-subsidized medical, dental, vision and life insurance
• Short-term and long-term disability coverage
• 401(k) match, flexible spending accounts and health savings accounts
• Employee assistance program and educational assistance
• Parental leave and 12 paid holidays
• Paid time off for vacation, personal and sick time

Explore your benefits: https://honeywellaerospacebenefits.com/

POSTING TIMELINE

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.