Total 470 quality control engineer job vacancies in Manufacturing / Production category

Responsibilities:

• Lead line leaders and operators to achieve daily production targets, quality, productivity, and yield.
• Conduct daily pass-down meetings and escalate any line issues.
• Manage manpower, overtime, and consumables planning.
• Ensure adherence to manufacturing and safety procedures.
• Train and coach leaders and operators to enhance performance.
• Implement improvements to minimize human errors.
• Maintain discipline and good housekeeping in the production line.
• Collaborate with departments on projects, evaluations, and preventive maintenance in the fab.

Requirements:

• Diploma and above in Engineering or equivalents.
• Minimum 2 years of working experience in a related industry.
• Experience in high-tech, high-volume manufacturing environment is preferred.
• Strong leadership and communication skills.
• Willing to work 12-hour shifts (permanent day or night, as assigned).

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HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact win@hkmsvs.com for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

Our client is a Marine and Offshore Industry. Due to business needs, they are now recruiting a Product Engineer to be part of their Team for ongoing transformation projects. They are located in the West - easily accessible.

Responsibilities:

Mechanical Design & Development:

• Translate product and system requirement into manufacturable mechanical designs, ensuring performance, safety, and production feasibility.
• Develop and test prototypes, analyze results, and refine designs to enhance reliability, performance, and manufacturability throughout the product lifecycle.

Machinery Arrangement & Layout Planning:

• Design machinery layouts to optimize space, accessibility, safety, and ease of maintenance.
• Plan and coordinate equipment placement to support efficient manufacturing processes.

Product Research & Concept Development:

• Conduct research to identify user needs, market trends, and product requirements.
• Generate detailed design concepts and prototypes using CAD and SolidWorks.
• Create comprehensive mechanical designs, including drawings, models, BOMs, and specifications.

Requirements:

• Diploma in Mechanical Engineering, Industrial Design, or a related field.
• At least 2 years of experience in mechanical product design.
• Proficiency in CAD software (e.g., SolidWorks, AutoCAD).

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.
EA License No: 19C9682
EA Personnel No: R25157233 (Loh Pooi Keng)

• Assist in the development and optimization of manufacturing processes for semiconductor equipment production
• Support troubleshooting and resolution of manufacturing issues to improve product quality and yield
• Collaborate with cross-functional teams including design, quality, and production to ensure smooth workflow
• Document process changes, create work instructions, and maintain manufacturing standards compliance

Requirement

• Higher NITEC in Engineering or equivalent.
• At least 1 year of experience in automation, mechanical and electrical environments in the semiconductor industry.
• Knowledge of machinery automation, including electrical, servo sensor, and pneumatic systems, along with the ability to read mechanical and electrical drawings.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com
Please note that only shortlisted candidates will be notified.
For more job opportunities, please visit our website at www.recruit-expert.com
EA Licence: 19C9701
Registration: R26160345

We are seeking highly motivated, enthusiastic individuals to join the NAND Central Engineering-Product Yield Enhancement (PYE) Engineering Team. As CE PYE Failure Analysis (FA) Engineer for Micron Technology, Inc., you will be responsible for providing full fault isolation and failure analysis support for qualifications, new device introduction, and test failures. You will apply relevant methodologies to isolate electrical failures in close collaboration with Product Engineering Teams. A strong understanding of product architecture, process flow, and test sequences is essential, as you will work with Process Integration, Product, Test, and Quality Reliability Assurance Engineering groups to ensure physical defects are accurately identified and classified.

RESPONSIBILITIES:

• Perform sophisticated electrical device characterization to determine electrical failure mechanisms.

• Operate fault isolation equipment, including nProbing, to localize electrical defects, support physical failure analysis, root‑cause determination, debug device failures, improve turnaround time, and drive corrective actions.

• Conduct physical failure analysis to identify and classify physical defects.

• Establish and hypothesize potential electrical or process failure mechanisms based on detailed electrical failure models and physical failure analysis characterization, supporting process improvement.

• Collaborate closely with a diverse range of collaborators, including teams from frontend to backend and the Global Quality (GQ) department, to address and resolve defectivity issues.

• Prepare and present comprehensive electrical and physical failure mechanisms weekly to drive continuous improvement.

• Develop and implement new fault-isolation and physical-failure analysis techniques to stay ahead of industry standards.

• Lead and guide a team of CE PYE technicians, fostering a collaborative, ambitious work environment.

REQUIREMENTS:

• Bachelor's or equivalent experience in Electrical/Electronic/Semiconductor Engineering.

• Proven experience as a great team player with outstanding analytical and problem-solving skills and a strong drive to excel.

• Excellent communication skills, with the ability to present complex information effectively in large meetings.

• Highly motivated individuals with a passion for innovation and excellence.

• Knowledge of fault isolation equipment, techniques, and physical failure analysis is a significant advantage.

• Ability to support shift rotation as required to meet operational needs.

• Exposure to AI/machine learning or data analytics applied in engineering or manufacturing environments is beneficial particularly for fault isolation, failure analysis, or process optimization.
  
  

About the Role:

Join our Product Engineering team to develop AI and Machine Learning solutions that transform semiconductor workflows. This role focuses on model development and agentic AI applications, enabling smarter testing, faster yield advancement, and engineering automation to improve cost, cycle time, and quality. This is a ground-breaking opportunity to work on modern technologies and make a significant impact in a world-class company!

You will also train and guide Citizen Data Scientists (CDS or equivalent experience) within Product Engineering, helping them apply advanced ML techniques and analytics tools to gain domain-specific insights.

Key Responsibilities:

Machine Learning Development:

• Build predictive models for yield, test time, and reliability analysis using structured/tabular data

• Use advanced machine learning techniques to analyze complex datasets and generate actionable insights that improve manufacturing and operational performance

• Build and validate ML workflows for large-scale semiconductor datasets

Agentic AI Solutions:

• Develop intelligent agents to automate engineering tasks (e.g., test program validation, yield analysis, report generation)

• Integrate agents with enterprise tools (JIRA, Confluence, SharePoint) and internal systems.

Data Engineering & Integration:

• Work with cross-functional teams to access, clean, and structure high-volume probe and wafer fabrication inline data to generate insightful information for ML/AI applications

• Collaborate with the inferencing architecture team during deployment phases to ensure successful and balanced production integration

Innovation & Collaboration:

• Find areas where AI can help reduce test time (TTR), improve yield, and automate processes

• Contribute to technical papers, patents, and internal guidelines

Citizen Data Scientist Enablement:

• Guide and upskill Citizen Data Scientists (CDS) in applying advanced ML techniques, guidelines, and analytics tools

• Build structured learning paths and hands-on training modules to strengthen CDS capabilities in machine learning and data-driven problem solving

• Serve as a mentor to offer continuous support, evaluate work, and suggest methods for AI initiatives within Product Engineering.

Requirements

Education:

• Bachelor’s or Master’s degree in Computer Science, Electrical/Electronic Engineering, Data Science, or a related field with at least 6 years of experience in machine learning/AI development and implementation

• PhD in a related field, accompanied by at least 3 years of practical experience in application (or a combination of research and industry involvement)

Core Technical Skills:

• Strong proficiency in Python and data processing libraries (e.g., Pandas, NumPy, Scikit-learn)

• Experience with machine learning algorithms for structured data, including regression techniques, tree-based models, and gradient boosting frameworks

• Ability to build and evaluate ML models for predictive analytics

Additional Skills:

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) for processing unstructured data (images, text, logs) and scalable model creation and deployment

• Exposure to agentic AI concepts and frameworks (e.g., LangChain, Microsoft Copilot Studio) for building autonomous workflows and orchestration

• Understanding of LLM-based solutions and their integration into enterprise applications

• Knowledge of MLOps practices, including model lifecycle management, CI/CD for ML, and production inference workflows for robust deployment

• Awareness of distributed computing and cloud-based AI services (e.g., Azure ML, AWS SageMaker) for scalable inferencing.

Soft Skills:

• Strong problem-solving and analytical thinking

• Excellent communication and ability to work in cross-functional teams with semiconductor subject-matter experts for technical exchange and management updates

Preferred Experience:

• Semiconductor industry or manufacturing analytics background

• Hands-on experience with AI agents or workflow automation

• Knowledge of enterprise integration tools (Power Automate, SharePoint connectors)

Why Join Us?

• Drive AI innovation in semiconductor product engineering

• Work on high-impact projects that improve yield, reduce test time, and accelerate time-to-market

• Collaborative environment with opportunities for career growth, patent contributions, and technical leadership