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- Tasks: Design and implement automated vision systems for quality control in manufacturing.
- Company: SAVA is a forward-thinking company focused on enhancing manufacturing processes through technology.
- Benefits: Enjoy opportunities for innovation, collaboration, and professional growth in a dynamic environment.
- Why this job: Join us to make a real impact on manufacturing quality with cutting-edge technology.
- Qualifications: 5+ years in machine vision or automation engineering; experience with Cognex Designer preferred.
- Other info: Ideal for tech-savvy individuals passionate about automation and quality control.
The predicted salary is between 42000 - 84000 £ per year.
SAVA seeks a talented Machine Vision Systems Engineer to take ownership of the architecture, implementation, and validation of automated vision systems for manufacturing quality control.
SAVA is currently utilizing Cognex Designer, paired with multiple bespoke semi-automated imaging stations, to dimensionally measure critical elements of manufacturing process steps throughout the production cycle. These systems combine product metadata with specific dimensional measurements, feeding into a robust data pipeline that supports critical quality control and developmental analysis.
SAVA aims to significantly enhance its automated machine vision infrastructure within the manufacturing line. This includes developing scalable solutions ranging from pilot manufacturing systems (small, development-systems) to high-volume production systems and their associated infrastructure.
Responsibilities
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Vision Hardware and System Design
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Specify and procure vision hardware, including sensors, lenses, and lighting.
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Collaborate with automation teams to design mechanical solutions for inspection stations.
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Programming and Integration
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Develop user interfaces and imaging recipes for inspection systems.
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Program interfaces between PC/controller/camera/light and other system components.
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Data Management
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Implement data naming, storage, and upload strategies to ensure traceability and accessibility.
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Infrastructure Development
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Define and deploy high-volume manufacturing solutions for vision system integration.
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Lead validation and scaling of pilot systems into full production environments.
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System Validation and Troubleshooting
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Proven experience as an Automated Vision Engineer or similar role.
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Hands-on experience with automated vision systems in a manufacturing environment.
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Proficiency in working with Cognex Designer or equivalent platforms.
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Experience in developing and implementing vision systems for dimensional and quality measurement., * 5+ years of experience in a relevant field (e.g., machine vision, automation engineering).
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Expertise in vision hardware and software integration.
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Strong understanding of data pipelines and quality control processes.
Preferred
- High Volume Medical Device Imaging System Implementation
Machine Vision Systems Engineer employer: SAVA
Contact Detail:
SAVA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Vision Systems Engineer
✨Tip Number 1
Familiarize yourself with Cognex Designer and similar platforms. Since SAVA is currently using these tools, showcasing your proficiency in them during the interview can set you apart from other candidates.
✨Tip Number 2
Highlight any hands-on experience you have with automated vision systems in manufacturing. Be prepared to discuss specific projects where you implemented or improved such systems, as this will demonstrate your practical knowledge.
✨Tip Number 3
Understand the importance of data management in machine vision systems. Be ready to talk about your experience with data naming, storage, and upload strategies, as these are crucial for ensuring traceability and accessibility in quality control.
✨Tip Number 4
Research SAVA's current manufacturing processes and think about how you can contribute to enhancing their automated machine vision infrastructure. Bringing specific ideas to the table during your discussions can show your initiative and fit for the role.
We think you need these skills to ace Machine Vision Systems Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Machine Vision Systems Engineer position at SAVA. Understand the key responsibilities and required skills, especially focusing on experience with Cognex Designer and automated vision systems.
Tailor Your CV: Customize your CV to highlight relevant experience in machine vision and automation engineering. Emphasize any hands-on experience with automated vision systems and your proficiency in programming and integration.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine vision technology and your understanding of quality control processes. Mention specific projects or experiences that align with SAVA's goals of enhancing automated machine vision infrastructure.
Highlight Relevant Projects: In your application, include details about past projects where you specified and procured vision hardware, developed user interfaces, or implemented data management strategies. This will demonstrate your capability to take ownership of the architecture and implementation of vision systems.
How to prepare for a job interview at SAVA
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with automated vision systems, particularly in a manufacturing environment. Highlight specific projects where you utilized Cognex Designer or similar platforms, and explain how you approached system design and integration.
✨Demonstrate Problem-Solving Skills
SAVA values candidates who can troubleshoot and validate systems effectively. Prepare examples of challenges you've faced in previous roles and how you resolved them, especially in relation to vision hardware and software integration.
✨Understand the Data Pipeline
Since the role involves managing data for quality control, familiarize yourself with data naming, storage, and upload strategies. Be ready to discuss how you have implemented these strategies in past projects to ensure traceability and accessibility.
✨Collaborate and Communicate
Collaboration with automation teams is crucial for this position. Think of instances where you successfully worked with cross-functional teams to design mechanical solutions for inspection stations, and be prepared to share those experiences during the interview.
