Total 460 procurement engineer job vacancies in Manufacturing / Production category

• 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

• Serving as technical expert to support production and resolve manufacturing issues.
• Supporting engineering changes, deviation request, training, qualification and update procedures.
• Streamline process through supporting continuous improvement and automation implementation.
• Providing support on improvement activities through workflow and digital tools.
• Ad hoc duties

Requirements:

• Min Diploma in Engineering
• Min 1-2 years of experience in production/manufacturing
• Able to think out of the box with strong desire to learn and a great teammate.
• Good communication skills

Interested & qualified applicants, please forward your latest CV to fion@pnnacle.com.sg

About Us:

VisionPower Semiconductor Manufacturing Company Pte Ltd (VSMC) is a joint-venture 300mm semiconductor wafer manufacturing facility to be built in Singapore. We are looking for committed, resilient and passionate talents to launch a promising future that power the next generation devices and systems. If you share the same passion to pursue excellence, join us to make an impact and be part of something special!

Role Summary:

You are responsible to support and contribute in driving best-in-class yield and defectivity performance.

Key Responsibilities :

• New/mass production yield analysis and improvement
• Product yield abnormalities systematic analysis and solutioning
• Work with modules, Integration & QRA, etc to solve product technical issues
• Product yield target goal setting and forecast
• Participate in new process development and production ramp
• Product yield improvement and related customer request support
• Wafer return electrical and physical failure analysis.

Education Qualification & Essential Experiences:

• Degree in Electrical / Electronics / Mechanical / Mechatronics / Microelectronics /Material Engineering or Physics science.
• At least 2 years of relevant work experience in semiconductor wafer manufacturing, with Product Engineering experience preferred.
• Possess strong analytical skills, usage experience in ACEXP / JMP /Minitab

Personal Attributes:

• Excellent coordination and communication skills, with the ability to work independently and manage multiple tasks effectively in a fast-paced environment.
• Able to be reliable and accountable in all tasks and responsibilities.
• Have the drive to achieve goals and complete tasks independently.
• Proficient in effectively conveying information through both written and verbal communication.

VSMC promotes diversity and inclusivity in our workforce; and hiring will be conducted in phases.

Responsibilities:

• Plans and manage projects for manufacturing of new products modification and processes.
• Implementation of new requirements regarding material selection and process control.
• Monitors test series to ensure timely execution and discuss with customer on product issues.
• Prepare work order for sample run, and develops test methods for determination of product features.
• Documents experiment results, and prepares documents for the illustration of various topics.
• Prepares production line concepts and cooperation with partners the construction & production.
• Conducts a continuous technology scouting in his/her area of responsibility.
• Conduct test on raw materials from new supplier or change of materials from existing supplier.
• Prepare test results to share with supplier and approve the use of raw materials.
• Analyses results of experiments, prepares test protocols, interprets results and presents in test reports.
• Suggests and follow-up further tests.
• Prepare & submit FA report to customer for approval and raise Technical Document for system set-up.
• Participates in the examination of production technologies/processes and recommends measures.
• Involve in customer complaint and conduct analysis (DOE or Failure Mode Analysis, for example).
• Executes pilot productions for new projects in cooperation with the responsible departments.
• Cooperate with the authorities for production parameters, specifications and planning costs.

Interested applicants, send in your updated resume by clicking “Apply Now”.

Lin Weikang
EA Personnel No: R21102570
EA License No: 23C18945

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

Responsibilities:

• Drive final test yield enhancement, cycle time reduction, and quality improvement with ATE test platforms
• Support daily engineering debug activities.
• Documentation for product manufacturability.
• Using sound technical judgment to support lot-on-hold disposition.
• Produce yield and pareto reports per requirements.
• Facilitate testing and shipment of both NPI and Sustaining devices.

Requirements:

• Degree in Electrical/ Electronics Engineering or equivalent with 1 year or more working experience in Semiconductor Product Engineering Team
• Experience in ATE Test handling/execution, test pattern, test flows and Silicon debug
• Experience in Advantest T2K or V93K preferred
• Skilled in Data Analysis and scripting (C++, Python)

We invite suitable candidates to apply online or email your CV to resume@ethos-search.com

Ethos Search Associates - EA No: 13C6655

Rose- EA Reg No: R1109557

• Process Optimization & Stable Flow: Work closely with production teams to implement the Bosch Production System (BPS), ensuring stable, waste-free processes, and lead continuous improvement (CIP) initiatives through the BPS System CIP methodology.
• Value Stream Planning: Map current (VSM) and future state (VSD, VS Vision) processes to visualize the flow, identify the bottlenecks and waste, and improve the value stream performance.
• Standardization: Deploy the BPS standards across value streams and support functions to achieve consistency, effectiveness and operational reliability.
• Training and Coaching: Provide training and coaching to production teams on BPS principles, lean concepts and tools, and expected behaviors to foster a culture of continuous improvement.
• Shop Floor Support and Gemba walk: Conduct regular Gemba walks to collaborate with value stream teams, identify challenges, and provide BPS support to value stream teams for effective problem-solving.
• Facilitating System CIP events: Leading improvement workshops to identify the continuous improvement projects.
• Change Management: Act as a change agent to drive cultural transformation, encouraging a mindset of continuous improvement and employee engagement.