Job details

Vision System Engineer

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CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact.

What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to global sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model.

Job Description

Key Responsibilities May Include:

Provide continuous maintenance and troubleshooting support to service centers to ensure sustained automated vision inspection system performance
Support vision inspection system quality performance and capability improvement programs
Monitor and support automated inspection system performance, consistency and predictability
Support automated machine vision and learning system integration for new development projects
Work with wider teams to improve regional operations performance to achieve shared targets
Work with wider teams to deploy and sustain defined best practices and continuous lessons learned

CHEP has implemented a variety of automated machine vision and machine learning based inspection systems to complete the quality inspection of its products. These technologies are deployed and operational globally.

This resource will remotely and field support technical problem solving and support activities to achieve quick resolutions to performance and efficiency challenges with the automated machine vision / machine learning systems. This resource will also assist deployment and support future projects associated with implementing machine vision and machine learning inspection systems in the CHEP Americas Region.

Qualifications and Experience

Technical Engineer
Desirable: Computer/Software/Electrical Engineer
Functional know-how is critical to this position.
Machine Vision systems knowledge and technical understanding with cameras, lasers and other lighting techniques.

Skills and Knowledge

Technical understanding of machine vision technologies such as 3D laser profiling, stereoscopic systems, 2D/3D cameras, lighting techniques, ToF pattern projection, inspection program design, etc.
Technical Support experience with machine vision / machine learning systems
Technical Training experience with machine vision / machine learning systems
Problem solving skills and working under pressure
Self-starter / ability to operate without much supervision
Teamwork

Desirable:

Rockwell PLC concepts understanding
SQL database experience
Ability to work in a Matrix Organization
Six-Sigma & Lean methodology
Spanish

Remote Type

Fully Remote

Skills to succeed in the role

Active Learning, Adaptability, Cross-Functional Work, Curiosity, Digital Literacy, Emotional Intelligence, Empathy, Initiative, Problem Solving

We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.

Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer, please contact us at recruitment@brambles.com.

Average salary estimate

$75000 / YEARLY (est.)

min

max

$60000K

$90000K

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What You Should Know About Vision System Engineer, Brambles

Are you ready to take your career to the next level as a Vision System Engineer at CHEP? Located in sunny Orlando, Florida, CHEP is a global leader in supply chain logistics, helping brands transport their goods more efficiently and sustainably. In this role, you'll play a vital part in supporting and improving automated vision inspection systems, ensuring they operate at peak performance. Your expertise will help us monitor and troubleshoot these systems, while also contributing to innovative new projects focused on machine vision and machine learning technologies. If you have a background in technical engineering, with a knack for problem-solving and a passion for teamwork, this is the perfect opportunity for you! You'll be joining a diverse and dynamic team, where your unique skills will be harnessed to tackle challenges and improve performance across the Americas region. Plus, with our fully remote work model, you get the flexibility to work from anywhere while still being a key player in driving our mission forward. Let’s work together to make a tangible impact in the logistics industry and contribute to global sustainability efforts. At CHEP, we value each individual and are committed to fostering an inclusive environment where every voice is heard. Join us in reshaping how goods move around the world while maximizing your work-life balance!

Frequently Asked Questions (FAQs) for Vision System Engineer Role at Brambles

What are the primary responsibilities of a Vision System Engineer at CHEP?

As a Vision System Engineer at CHEP, your key responsibilities include maintaining and troubleshooting automated vision inspection systems to ensure their optimal performance. You will actively support quality performance improvement programs and monitor system consistency and predictability. Additionally, you will collaborate with cross-functional teams to enhance operational performance, deploy best practices, and assist in the integration of new machine vision and learning systems.