The\rfuture is what you make it!
When\ryou join Honeywell, you become a member of our global team of thinkers,\rinnovators, dreamers, and doers who make the things that make the future.
That\rmeans changing the way we fly, fueling jets in an eco-friendly way, keeping\rbuildings safe and even making it possible to breathe on Mars.
Working\rat Honeywell isn€™t just about developing cool things. That€™s why our employees\renjoy access to dynamic career opportunities across different fields and\rindustries.
Are\ryou ready to help us make the future?
Be\ra part of the transformation of the Global Integrated Supply Chain organization\rat Honeywell. Are you ready to make an impact in shaping our engineering\rteam into a world-leading organization? The Global Integrated Supply Chain\rengineering organization designs and enables our factories to drive world-class\roperational performance to deliver products that delight our customers. This is\ra high-visibility position in a winning team!
Key Responsibilities:
As\ra Process COE Leader, you will be part of the corporate Core Process Excellence\rand Automation COE team and will be the Subject Matter Expert for the\rcorporation. You will identify and establish a team of representatives from\rHoneywell€™s four Strategic Business Units. This team will develop guidelines\rfor improving the Inspection processes within manufacturing environment and\rwill develop Computer Vision implementation guidelines that will be used by\rManufacturing Engineers across 150+ Honeywell global factories. The guidelines\rwill consist of information such as application variables, scenarios to\rconsider, required data output standards to support Digital Factory, as well as\rHoneywell€™s preferred hardware and software suppliers for those applications. Manufacturing\rEngineers will rely on your expertise to implement potential computer vision\rsolutions in their respective production lines to achieve organizational objectives.
For\rhigh-impact deployments, you will work with site operations leaders and\rmanufacturing engineers to drive the transformation in our factories with the\rright solution, including need for built-in-quality, right inspection at the\rright time, and if required suitable computer vision solutions.
Ideal candidates will\rhave a track record of operational improvement through use of Lean principles,\rValue Steam Maps, and computer vision implementation at a discrete\rmanufacturing company
Solve technical challenges related to recognition and\r pose estimation of a wide variety of objects in broad scenarios
Analyze and evaluate algorithms related to detection\r and pose estimation and implement & enhance them in production\r environment
Design, develop, evaluate, and improve the performance\r of scalable computer vision applications in Python and C++
Geographic location: Charlotte\rNC with up to 30% travel
YOU MUST HAVE:
Bachelor€™s degree in Engineering, Computer Science, or\r related technical field
10+ years of experience in manufacturing engineering\r and computer vision development with Artificial Intelligence
Knowledge of Python, C++ and Deep Learning platforms\r such as PyTorch or TensorFlow.
In-depth understanding of fundamental computer vision\r algorithms and technologies such as OpenCV, Jupyter, YOLO.
Developed network of supplier relationships in the Computer Vision industry
For Export compliance, candidate must be a US Citizen\r or Permanent resident
WE VALUE:
Advanced degrees in Engineering, Computer Science, or\r related technical field
Knowledge and experience with lean, operational\r excellence, continuous improvement, and quality improvement
Demonstrates a hands-on, energetic, accountable, and\r hardworking style
Customer-focused approach to operations management\r which supports growth and innovation, and which requires enhanced\r communication and cooperation
Self-starter capable of making good decisions
Strong organizational and leadership skills in an\r international environment with the ability to lead and drive projects to\r completion
Metric-oriented with strong analytical skills and the\r ability to comprehend broad sets of data (including financial);\r technically astute; demonstrated history to act on analysis and drive\r impactful results
Additional Information
JOB ID: req368711
Category: Integrated Supply Chain
Location: 855 S Mint St,Charlotte,North Carolina,28202,United States
Exempt
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.
","title":"Director of Engineering - Computer Vision Process COE
