Senior Machine Vision & Systems Engineer

CHEP helps move more goods to more people, in more places than any other organization on earth via our 300 million pallets, crates and containers. We employ 11,000 people and operate in more than 55 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

Position Purpose

As a Senior Machine Vision System Engineer at CHEP, you will lead the design, development, and implementation of advanced vision system solutions for the inspection of pallets. Leveraging your expertise in machine vision and artificial intelligence (AI) technologies, you will play a pivotal role in developing innovative algorithms and techniques to enhance the accuracy, speed, and reliability of the pallet inspection processes. You will collaborate closely with cross-functional teams to understand customer requirements, design customized vision solutions, and ensure seamless integration with existing automation systems.

Major/Key Accountabilities

• Lead the design, development, and implementation of machine vision solutions for pallet inspection applications supporting future automated systems.
• Research and implement state-of-the-art AI technologies, including deep learning algorithms, for improving the accuracy and efficiency of vision systems.
• Collaborate with cross-functional teams to understand project requirements and develop tailored machine vision solutions that meet performance, accuracy, and reliability goals while ensuring seamless integration with robotic platforms and existing workflows.
• Conduct performance testing and validation of vision systems to ensure accuracy, speed, and reliability in real-world environments.
• Provides system design expertise, training, and guidance on machine vision systems and other industry standard tools for the inspection process.
• Develop and maintain documentation including technical specifications, user manuals, and test procedures for vision system solutions.
• Develop predictive models to anticipate potential issues and optimize vision system functionality.
• Conduct rigorous testing, validation, and optimization of machine vision algorithms and systems, leveraging simulation tools and physical prototypes to validate performance under diverse environmental conditions and operational scenarios.
• Provide recommendations based on data analysis to improve vision system decision-making processes and achieve organizational goals with future automation.
• Continuously monitor and evaluate vision system performance metrics to drive continuous improvement initiatives.
• Stay abreast on the latest developments in machine vision and AI technologies and identify opportunities for innovation and improvement in vision system solutions.

Measures

• Sr. Machine Vision Engineer is mutually responsible for supporting the Supply Chain Team in achieving business objectives through the development of future automation.

Scope

• Global                   

Authority/ Decision Making

• Purchasing Recommendations
• Leading and managing suppliers and vendors as required
• Support global vision and inspection development internal teams
• Working autonomously

Challenges

• Working across time zones or cultures
• Working autonomously and independently
• Supporting project teams through influence and process rather than direct authority

Key contacts

Internal

• Plant Operations Reps, Managers, Directors, P