Job Information
Honeywell Lead AI Engineer (Hardware Architect) in Redmond, Washington
Lead AI Engineer (Embedded Hardware Architect)
Honeywell Aerospace Technologies (AT) is seeking Lead AI Engineer candidates to drive hardware and embedded systems development for future AI based products as part of a new AI/Machine Learning Center of Excellence (COE). In this role you will be responsible for building, selecting and developing the foundational hardware needed for deploying future AI/ML products and solutions.
In this role you will act as a bridge between the AI research teams and existing Aerospace product teams, integrating and deploying new AI models onto hardware platforms as enhancements to Honeywell’s existing products with exciting new AI features as well as introduce new products and capabilities.
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.
KEY RESPONSIBILITIES
Lead the integration, deployment and testing of AI models to address specific business needs, ensuring scalability, efficiency, and robustness.
Work with AI Scientists to develop roadmaps and hardware requirements for AI solutions under development
Assist product teams throughout Honeywell AT as they select hardware to deploy new AI solutions and upgrades to existing products
YOU MUST HAVE
Bachelor’s degree from an accredited institution in a technical discipline such as robotics, computer science, aerospace engineering, or related field.
Minimum 5 years experience with embedded solutions
Experience writing real time embedded systems code in C/C++
Minimum 2 years’ experience deploying AI/ML solutions into embedded solutions
Experience with TensorRT, LiteRT or other AI embedded deployment tools
Experience deploying product ready ML models
Experience developing and deploying ML-Ops pipelines for embedded systems applications
Experience with embedded platforms for AI/ML deployment (Ex: Nvidia Jetson)
Running ML models within constrained processing environments
U.S. CITIZEN REQUIREMENTS
- 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.
NICE TO HAVE
Experience working in aerospace or safety critical systems (ex: medical device, autonomous car) industry
Prior work on software and hardware for safety critical systems (ex: FAA Design Assurance Levels)
Ability to work in a fast-paced and dynamic environment.
Attention to detail and excellent problem-solving capability.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.