The Role
Supports semiconductor automated optical inspection applications from pre-sales evaluation through post-sales deployment. Evaluates samples, optimizes detection accuracy and throughput, conducts system acceptance testing, validates software and inspection technologies, troubleshoots imaging and software issues, documents results, and trains customers and service engineers. Requires knowledge of machine vision, imaging systems, software validation, and quality analysis. International customer travel is required.
Summary Generated by Built In
Responsible for supporting semiconductor vision inspection applications from pre-sales evaluation to post-sales support, working closely with customers, Sales, R&D, and Customer Service teams to deliver suitable inspection solutions.
Responsibilities:
1. Customer Application Support: Understand customer inspection requirements, propose suitable AOI solutions, and provide pre-sales and post-sales technical support.
2. Application Evaluation & Optimization: Conduct sample evaluations and optimize vision inspection performance, including detection accuracy, false rejects, defect escapes, repeatability, and throughput.
3. System Acceptance & Customer Buy-Off: Plan and execute inspection performance verification and customer acceptance testing against agreed specifications.
4. Product & Software Validation: Validate new inspection technologies, software features, and system integration to support product release and customer deployment.
5. Troubleshooting & Problem Resolution: Investigate inspection issues, identify root causes, and collaborate with engineering teams to implement and verify corrective actions.
6. Documentation & Training: Prepare technical reports, application guides, and test documentation, and provide training to customers and Customer Service engineers.
Requirements
1. Degree or Diploma in Engineering, Computer Science, Optics, or a related discipline,
preferably with 1–3 years of relevant experience. Fresh graduates are welcome.
2. Good understanding of machine vision, including cameras, lenses, lighting, image
processing, and inspection applications.
3. Ability to evaluate inspection performance and troubleshoot imaging, software, and PC
related issues. Semiconductor inspection experience is an advantage.
4. Good logical thinking and understanding of software functionality, with the ability to
analyze system behavior, troubleshoot software issues, and support software testing
and validation.
5. Familiarity with Vision AI, deep learning, and quality analysis tools (FMEA, 8D, Cpk) is
an advantage.
6. Strong analytical, problem-solving, communication, and documentation skills, with a
hands-on attitude and willingness to learn.
7. Willingness to travel internationally for customer support and on-site assignments.
Skills Required
- Degree or diploma in Engineering, Computer Science, Optics, or a related discipline
- Relevant application engineering experience, preferably 1–3 years
- Understanding of machine vision, including cameras, lenses, lighting, image processing, and inspection applications
- Ability to evaluate inspection performance and troubleshoot imaging, software, and PC-related issues
- Logical thinking and understanding of software functionality, including software troubleshooting, testing, and validation
- Semiconductor inspection experience
- Familiarity with Vision AI and deep learning
- Familiarity with FMEA, 8D, and Cpk quality analysis tools
- Strong analytical, problem-solving, communication, and documentation skills
- Hands-on attitude and willingness to learn
- Willingness to travel internationally for customer support and on-site assignments
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The Company
What We Do
MVC Resources is a Malaysia-based human resources and recruitment consultancy that helps organizations address talent and skills gaps. It supports employers with recruitment, executive search, talent management, talent profiling, payroll outsourcing and human-capital advisory. The company also provides HR technology integration and helps digitize HR functions, streamline hiring and inform workforce decisions. Its clients include startups, SMEs and multinational organizations.
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