The future is what we 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 our employees enjoy access to dynamic career opportunities across different fields and industries.

Are you ready to help us make the future?

You will report directly to our Sr. ISC Operations Manager, and you’ll work out of our Charlotte NC location on a hybrid work schedule.

Be a part of the transformation of the Global Integrated Supply Chain (ISC) organization at Honeywell. Are you ready to make an impact in shaping our engineering team into a world-leading organization? The Global Integrated Supply Chain manufacturing excellence organization designs and enables our factories to drive world-class operational performance to deliver products that delight our customers. This is a high-visibility position in a winning team!

As a Machine Vision Engineer here at Honeywell, you will work closely with the ISC Manufacturing Excellence group to help develop and deploy machine vision systems for industrial applications. You will design, develop and implement high impact use cases for Machine Vision technology and scale across 150+ Honeywell factories, driving higher levels of quality, productivity, throughput and increased supply chain reliability.

Systems Integration, including field engineering experience desired, as solutions will be deployed at various Honeywell manufacturing sites.

At Honeywell, our people play a critical role in developing and assisting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying and developing successors, driving retention and engagement, and fostering an inclusive culture

KEY RESPONSIBILITIES

Conduct feasibility studies and cost analyses for machine vision projects. Choose advanced 2D and 3D vision sensors and other vision hardware tailored to project requirements, ensuring scalability and robustness.

Develop advanced machine vision software, utilizing both rules-based and deep learning computer vision techniques.

Operationalize robust vision systems in production by integrating vision hardware and software with databases, PLCs, motion controllers, and other automation technologies.

Collaborate with mechanical and electrical designers to guide the integration of vision hardware within the system and production line.

Provide onsite support for system installation and commissioning, training personnel, and supporting any operational issues that arise during and after deployment.

Engage, collaborate with, and influence all functions to ensure the advanced technology strategy is understood and is sufficiently supported by the appropriate stakeholders.

Build strong relationships with the key functional leaders and internal / external suppliers to align advanced manufacturing technology with business strategy.

Stay up to date with the latest automation technologies and industry trends and ensure compliance with industry standards and regulations

U.S. PERSON REQUIREMENTS

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status.

YOU MUST HAVE:

Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics.

Strong understanding of engineering fundamentals and ability to apply them towards manufacturing process development.

Knowledge in selection of vision sensors, optics, lighting, and other hardware for high-speed image acquisition and processing.

Proven experience in integrating 2D and 3D vision sensors utilizing interface standards such as GigE Vision, Camera Link, and RTSP.

Extensive experience in high-speed digital image processing, utilizing both rules-based and deep learning methods for various computer vision tasks, including object detection and tracking, classification, and segmentation, specifically tailored for industrial applications.

Experience in vision software architecture, algorithm development using programming languages such as C++, C#, or Python. Experience in interfacing with SQL and other databases.

Experience deploying robust solutions based on vision frameworks and products such as MVTec HALCON, Cognex, Keyence, and OpenCV, as well as deep learning frameworks like TensorFlow, Keras, PyTorch, and ONNX.

Experience interfacing with PLCs, HMIs, SCADA systems, robots, and motion controllers with knowledge of industrial protocols such as Ethernet/IP, MQTT, Modbus, and RS-232/485.

Ability to travel—this role requires 40% domestic and international travel

WE VALUE:

BS in physics, electrical, mechanical, computer science or another engineering discipline

System Integration experience with proven expertise in building, deploying and commissioning vision systems in production within industrial environments.

Experience in architecting complex, multi-threaded applications on the .NET framework, and experience with integrating REST APIs and web frameworks.

Strong problem-solving skills and the ability to quickly learn new software frameworks for building robust machine vision solutions.

Strong understanding of engineering fundamentals and ability to apply them towards manufacturing process development.

Proactive self-starter with strong ability to make informed decisions in the development and implementation of machine vision systems.

Strong organizational and leadership skills in an international environment with the ability to lead and drive projects to completion

Metric-oriented with strong analytical skills and the ability to comprehend broad sets of data (including financial); technically astute; demonstrated history to act on analysis and drive impactful results.

Electrical and mechanical aptitude is a plus.

BENEFITS OF WORKING FOR HONEYWELL

In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here 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.

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical demands around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company dedicated to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, care or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and diversity: click here

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.