Principal AI Engineer - Hybrid

Key Skills

Aartificial intelligence, Computer Vision (CV), Data oriented design- DoD, GPUs, LiDAR, Machine learning techniques, NVIDIA Jetson

Job Description

The future is what you make it!

When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars. Working at Honeywell isn’t just about developing cool things. That’s why all of our employees enjoy access to dynamic career opportunities across different fields and industries.

Are you ready to help us make the future?

We are seeking a Technical Lead (Hybrid opportunity) for 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 ($1+Million / year), supporting technologies for automatic and autonomous vehicle operations, including navigation and position estimation, 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 talented scientists and engineers. This includes the development and implementation on prototypes of both classical and deep learning-based systems for visual navigation, position estimation, object detection, classification, etc. 

The Technical Lead will define the best set of sensors and computational architectures for various multi-sensor aerial and ground platforms to support different autonomy tasks and lead data collection and sensor characterization efforts. You will lead both internal and external customer projects with distributed teams. You’ll conduct regular interface meetings with peer groups, business leaders, flight test groups and product engineers to define technology roadmaps, key milestones, capability demonstrations and funding requirements. 

Key Responsibilities

• Define and lead computer vision technologies supporting autonomous and unmanned aerial vehicles, and alternative navigation solutions
• Lead Voice of Customer (VOC) activities with key external and internal customers, leading to the development and transition of key computer vision technologies.
• Drive technology transitions and productization of key computer vision technologies to develop hardware, software, edge solution and integrate it onto key Unmanned Aerial Vehicles (UAV) and Urban air Mobility (UAM) platforms.
• Thrive in a fast-paced environment with rapidly changing priorities that require quick adaptation.

YOU MUST HAVE

• Master’s Degree in Electrical Engineering, Robotics or Computer Science
• 5 + Current years of experience in computer vision, Artificial Intelligence (AI) and Machine Learning (ML) as applied to autonomy and navigation for UAM and UAV applications
• 8+ years managing complex technical R&D programs for internal customers and external government customers such as AFRL or DARPA.
• Completed 3+ multi-million dollar contracts (From origination to fruition)

WE VALUE

• Ph. D in Engineering, Robotics or Computer Science
• 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
• Recent publications in top conferences and journals in the area of computer vision and/or machine learning
• Experience with new methods of computer vision including machine learning (especially deep learning)
• Experience leading technical teams to integrate sensors (e.g., FLIR Blackfly Camera or Ouster LIDAR) and algorithms on embedded platforms (e.g., NVidia Jetson or Xavier embedded GPUs)
• Experience writing DoD proposals, including technical content and develop accurate project cost and resource forecasts