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- Tasks: Design and implement cutting-edge machine vision systems for engineered wood manufacturing.
- Company: Join Kadant Carmanah Design, a global leader in innovative engineered wood solutions.
- Benefits: Enjoy competitive salary, bonuses, and a fantastic work/life balance.
- Why this job: Work with advanced AI tools and contribute to groundbreaking technology in a collaborative environment.
- Qualifications: Bachelor's degree in relevant fields; knowledge of machine vision and programming skills required.
- Other info: Opportunity to travel to customer sites for hands-on testing and troubleshooting.
The predicted salary is between 36000 - 60000 £ per year.
Are you ready to dive into the exciting and innovative world of Engineered Wood? Kadant Carmanah Design is recognized as a global leader of innovation in the design and manufacture of equipment in the Engineered Wood products industry and is the largest supplier of Stranders used in the production of Oriented Strand Board (OSB) and other wood-based composites.
We are seeking a motivated and talented Engineer to join our team as a R&D Machine Vision Engineer. The ideal candidate will assist in the design and implementation of machine vision systems, including the integration of cameras and sensors. This role offers an exciting opportunity to work on cutting-edge technology and contribute to the development of AI tools such as machine learning (ML) and deep learning.
We offer a competitive salary, bonus, and benefits with a great work/life balance.
Responsibilities- Pioneering the design and development of machine vision systems for OSB manufacturing.
- Support the integration of cameras and sensors into mechanical mountings.
- Collaborate with team members to write and optimize algorithms for image processing and analysis.
- Participate in the development and implementation of AI tools, including ML and deep learning.
- Conduct testing and troubleshooting of prototypes.
- Document design processes, test results, and system specifications.
- Travel to customer OSB mills to install, test and troubleshoot prototypes.
- Prepare drawings, manuals, and instructions on replicating designs to be handed over to production.
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, or a related field.
- Basic knowledge of machine vision systems and image processing techniques.
- Familiarity with programming languages such as Python and/or C++.
- Familiarity with PLC systems.
- Experience with camera and sensor integration.
- Understanding of AI tools, including ML and deep learning.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
- Ability to work both independently and as part of a team.
R&D Machine Vision Engineer employer: Syntron Material Handling Group
Contact Detail:
Syntron Material Handling Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land R&D Machine Vision Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine vision technology. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the field of machine vision and AI. Attend industry conferences or webinars where you can meet potential colleagues or mentors who might provide insights or even referrals for the position.
✨Tip Number 3
Prepare to discuss specific projects or experiences where you've successfully integrated cameras and sensors. Being able to share concrete examples will demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Showcase your programming skills by working on personal projects or contributing to open-source projects related to machine vision. This practical experience can set you apart from other candidates and highlight your commitment to continuous learning.
We think you need these skills to ace R&D Machine Vision Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine vision systems, image processing, and any programming skills you possess, particularly in Python or C++. Customise it to reflect the qualifications mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for R&D and your understanding of AI tools like machine learning and deep learning. Mention specific projects or experiences that demonstrate your problem-solving skills and teamwork abilities.
Showcase Relevant Projects: If you have worked on any projects related to machine vision or AI, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved to give the employer insight into your capabilities.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for an engineering role.
How to prepare for a job interview at Syntron Material Handling Group
✨Showcase Your Technical Skills
Make sure to highlight your knowledge of machine vision systems and image processing techniques. Be prepared to discuss specific projects where you've integrated cameras and sensors, as well as any experience you have with programming languages like Python or C++.
✨Demonstrate Problem-Solving Abilities
Prepare examples that showcase your strong problem-solving skills. Discuss challenges you've faced in previous roles and how you approached them, particularly in relation to testing and troubleshooting prototypes.
✨Emphasise Team Collaboration
Since this role involves collaboration with team members, be ready to talk about your teamwork experiences. Share instances where you worked effectively with others to write and optimise algorithms or develop AI tools.
✨Research the Company and Industry
Familiarise yourself with Kadant Carmanah Design and the engineered wood products industry. Understanding their innovations and challenges will help you tailor your responses and show genuine interest in the role.
