Key Responsibilities

• Conceptualize, design, and develop automation equipment and mechanical systems for cleanroom and industrial applications.
• Prepare engineering design, detailed drawings, and project cost estimation.
• Manage projects from concept stage to manufacturing and final commissioning.
• Work closely with cross-functional teams to implement design improvements and cost optimization for existing platforms.
• Provide technical solutions and troubleshooting for design issues during project execution.
• Review and verify engineering drawings and designs to ensure technical accuracy and compliance with customer requirements.
• Liaise with customers on technical specifications, design reviews, and product requirements.
• Lead machine installation, testing, and commissioning at customer sites when required.
• Ensure designs comply with relevant engineering standards (ISO9000, SEMI-S2, SOP39)

Requirements

• Diploma or Bachelor's Degree in Mechanical Engineering or related field.
• Minimum 5 years of experience in mechanical design, preferably in automation equipment, semiconductor, HDD, or precision engineering industries.
• Proficiency in SolidWorks and AutoCAD is mandatory.
• Experience in pneumatic system design and pneumatic circuit diagram preparation is required.
• Knowledge of linear motion systems
• Strong experience in preparing fabrication drawings, assembly drawings, and machine layout drawings.
• Strong problem-solving ability with a practical engineering mindset.
• Self-motivated, organized, and able to work in a fast-paced project environment.
• Good communication skills in English.

GMP Technologies (S) Pte Ltd | EA Licence 11C3793 | EA Personnel: Novita Widjaja | Registration No: R22105960

Job Summary 

We are looking for a QC Equipment Qualification Specialist to support qualification, lifecycle management, and decommissioning activities for Quality Control laboratory equipment within a GMP-regulated manufacturing environment. 

This role will support the execution and coordination of qualification activities, change control, validation documentation, and equipment lifecycle compliance. The successful candidate will work closely with QC, Validation, Engineering, Quality Assurance, and external vendors to ensure laboratory equipment is qualified, documented, and maintained in accordance with site and regulatory requirements. 

Your Missions 

• Support qualification activities for QC laboratory equipment in accordance with GMP, validation lifecycle, and change control requirements. 

• Coordinate and execute equipment qualification activities including IQ, OQ, and PQ where applicable. 

• Support decommissioning activities for QC laboratory equipment following approved procedures and compliance requirements. 

• Assist in defining project plans, timelines, documentation needs, and coordination activities for qualification and decommissioning projects. 

• Prepare, review, and maintain qualification protocols, reports, SOPs, risk assessments, and training materials. 

• Support deviations, investigations, CAPA, and change control activities related to laboratory equipment and qualification processes. 

• Review qualification and validation documentation to ensure completeness, traceability, and compliance with GMP and site quality expectations. 

• Collaborate with QC, Validation, Engineering, Quality Assurance, and vendors to ensure timely execution of project activities. 

• Ensure proper documentation practices, data integrity, and compliance standards are followed for laboratory equipment systems. 

• Support equipment integration activities where applicable, such as LabX connectivity or related laboratory data systems. 

• Track action items, project milestones, risks, and implementation progress to support delivery within agreed timelines. 

Your Profile 

• Bachelor’s degree in Engineering, Life Sciences, Biotechnology, Pharmaceutical Sciences, Chemistry, or a related discipline. 

• 5–8 years of experience in qualification, validation, commissioning, or lifecycle management within GMP-regulated manufacturing or laboratory environments. 

• Hands-on exposure to QC laboratory equipment qualification and validation activities. 

• Good understanding of GMP documentation, validation lifecycle, change control, deviation, and CAPA processes. 

• Experience preparing or reviewing qualification protocols, reports, SOPs, risk assessments, or validation documentation. 

• Familiarity with analytical or laboratory equipment such as continuous flow analysers, nitrogen analysers, TOC systems, gas generators, analytical balances, microbalances, or similar laboratory instrumentation would be an advantage. 

• Exposure to laboratory system integration platforms such as LabX or related laboratory software systems is preferred. 

• Strong documentation, coordination, and stakeholder communication skills. 

• Detail-oriented, organized, and comfortable working within structured quality and compliance environments. 

• Able to manage multiple tasks and timelines within project-based environments. 

What We Offer 

• An international community bringing together 110+ different nationalities. 

• An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities. 

• A robust training system with our internal Academy and 250+ available modules. 

• A vibrant workplace that frequently gathers for internal events, afterworks, and team buildings. 

• Strong commitments to CSR, notably through participation in our WeCare Together program. 

As an Advanced Packaging Characterization Engineer within Advanced Packaging Technology Development (APTD), your responsibilities include but are not limited to providing package development characterization and failure analysis support for development test vehicles, qualifications, customer returns, new product introduction, and general test failures. You are the domain expert on advanced packaging characterization methodology and is responsible for establishing relevant analysis methods needed to support technology development. You will also have a thorough understanding of the product package assembly and process flow, to work with Process Integration, Process Development, and Product Engineering groups ensuring failures are classified and root cause fixes implemented.

Responsibilities and Tasks

Conduct Electrical Characterization

• Understand PFA techniques available for de-processing failures

• Understand assembly and test process

• Perform electrical verification to confirm failures

• Establish best known method for de-processing package

Provide Data Analysis

• Understand backend test flows, qualification methodologies and be able to pull relevant information

Communicate with Internal/External Groups

• Document failure analysis techniques used to isolate failure for other groups

• Quick, responsive analysis and feedback of PFA results to Product, Process Integration, Reliability, Assembly, RMA, and QRA

• Ensure the PFA lab understands best method to obtain results and ensure lab is ready for analysis of new designs

Provide Technical Expertise

• Conduct TMO training and FA certification

• Serve as technical SME and mentor, contributing to the growth of technical capabilities within the team and fostering a culture of continuous learning.

• Participate actively in technical events such as conferences, workshops and forums to share knowledge and BKM across the network.

• Engage industry experts and vendors on cutting-edge FA tools and techniques required for Advanced Packaging development roadmap.

Maintain Equipment

• Coordinate calibrations (external to Micron)

• Procure parts as needed

• Coordinate host vendors to support equipment repair

Manage Laboratory

• Consistently upholds and promotes Micron’s safety standards, ensuring all activities are conducted in a safe and compliant manner.

• Manage laboratory to comply with TS, ISO14001 and OHSAS requirements.

• To manage the exhaust and scrubber systems of the FA Lab.

• To maintain records and procedures as per Micron GOPs

Education and Experience

• PhD, Master’s, or Bachelor’s degree in Materials Science, Chemical Engineering, Electrical/Electronics Engineering or related discipline. 

• 4+ years of experience in the semiconductor process, preferably in R&D or technology development or failure analysis field, with strong expertise in failure analysis methodologies and techniques.

• Hands-on proficiency with key analytical tools and methods, including: SEM, EDX, FIB, TEM, AFM, FTIR, XPS, X-ray, CSAM, Ion Milling, delayering, and decapsulation techniques.

• Strong communication skills with the ability to collaborate effectively across internal teams and external partners.

• A mindset that emphasizes customer focus, continuous improvement, and striving for excellence.

Role Overview

We are looking for an Associate Test Engineer / Technician to handle the calibration, testing, and troubleshooting of our high-tech systems and components. You will work from technical drawings to ensure product quality, resolve technical issues, and document your findings.

Key Responsibilities

• Set up, calibrate, and test electronic circuits, mechanical assemblies, and final systems.

• Troubleshoot technical issues, identify root causes, and perform necessary rework.

• Interpret blueprints, drawings, and schematics to determine or develop test procedures.

• Prepare technical reports summarizing test results and solutions.

• Assist in selecting and setting up specialized test equipment.

Job Requirements

• Diploma or Bachelor’s Degree in Engineering.

• Hands-on experience with semiconductor equipment.

• Ability to read technical drawings and use precision measuring instruments.

• Strong troubleshooting and data analysis skills.

• Good communication and teamwork skills.

• Comfortable working in a cleanroom environment and committing to shift hours.

Preferred Skills (Optional)

• Experience with optics alignment is a strong plus.

Please submit your updated resume in Word format by using the Apply Now Button.

We regret that only shortlisted candidates will be notified.

Email resume to che••••••••••@peopleprofilers.com

People Profilers Pte Ltd, 20 Cecil Street, #08-09 PLUS Building, Singapore 049705

Tel: 69•• •744

Posting Personnel: Ding Xin Er

EA Licence Number: 02C4944

Registration Number: R22106669

about the company

My client is a specialized manufacturer in the contract manufacturing space. They are a Singapore based company and with their innovative technology, this is a great brand to join at an exciting time in their development.

about the job

• Plan, coordinate and oversee all Quality Assurance activities in the Company
• Oversee the Documentation Control function for Quality Management System
• Act as the Quality Management Representative for the Company
• Develop and implement plans to collect quality data at in-process, final inspection, test and inspection stations
• Plan and execute annual Internal Audit to ensure all quality systems and procedures are effectively implemented and auditable at all times
• Manage first article inspections and sample evaluation activities
• Develop and implement system for receipt and processing of complaints and recall of products
• Participate in all new Projects, including giving inputs from quality perspectives, performing PFMEA etc
• Implement and maintain ISO 9001, ISO 13485 QMS, and ISO 14001 EMS compliance

job requirement

• Degree in Engineering or equivalent
• Manufacturing background from plastics injection medtech manufacturing environment
• High volume manufacturing environment
• Must possess ISO13485 certification

If you are interested in the position

Please include your availability, expected salary and reason for leaving current job

We regret that only shortlisted candidates will be contacted

EA: 94C3609 / Reg: R1325913

Job Responsibilities:

• Plan, execute, monitor, and control all technical aspects of projects.
• Lead or contribute to new system/network infrastructure setups or upgrades.
• Support operational systems in line with contractual Service Level Agreements (SLAs).
• Conduct routine preventive maintenance and manage operational activities efficiently.
• Prepare comprehensive project documentation and reports.
• Troubleshoot and resolve technical issues promptly.

Requirements:

• Strong knowledge of Windows Server OS and Linux OS; experience in virtualized environments is a plus.
• Hands-on experience with virtualization, hypervisors, and the Nutanix platform is an advantage.
• Understanding of VPNs and firewall appliances is beneficial.
• Familiarity with network switches and routers is preferred.

Contract Duration: 2-3 months (Potential extension of 1 month)

Work Location: Yishun / Bedok / Bukit Batok (assignment location to be confirmed)

Key Responsibilities:
• Audit and optimise Active Directory (AD), DNS, and Group Policy configurations
• Import, test, and deploy standardised GPO templates across infrastructure environments
• Support pilot testing and resolve endpoint or application conflicts
• Execute domain-wide policy updates and infrastructure configuration alignment
• Perform baseline scans, gap analysis, and troubleshooting activities
• Maintain AD, DNS, and DHCP services across physical, virtualised, and cloud environments
• Prepare documentation, compliance reporting, and configuration records

Requirements:
• Experience supporting Windows Infrastructure / Server environments (2-4 years preferred)
• Hands-on experience with Active Directory Domain Services (AD DS), DNS, and DHCP
• Strong knowledge of Group Policy Object (GPO) administration
• Familiarity with Windows OS hardening practices (CIS benchmarks preferred)
• Intermediate PowerShell scripting experience for automation and remote administration
• Experience with CIS-CAT, Nessus, or Microsoft Security Compliance Toolkit is advantageous

HOW TO APPLY:

Interested applicants, please click on “Apply Now” or email to submit your resume.

We regret to inform that only shortlisted candidates will be notified.

Stafflink Services Pte Ltd

EA Licence No.: 04C4294

EA Personnel: Chew Hong Huang

EA Personnel Reg. No.: R24124128

Principal Engineer / Manager, Defect Detection & Yield Engineering

Key Responsibilities

• Lead defect detection and yield improvement initiatives across semiconductor manufacturing operations.

• Drive root cause analysis and corrective actions for process and quality excursions.

• Analyze defect and yield data to identify trends and improvement opportunities.

• Partner with Process, Manufacturing, Quality, and Engineering teams to improve operational performance.

• Support implementation of advanced inspection and monitoring solutions.

• Develop best practices and mentor engineers within the organization.

Requirements

• Degree in Engineering, Materials Science, Physics, or related discipline.

• 7+ years of semiconductor manufacturing, yield, process, or defect engineering experience.

• Strong analytical, problem-solving, and stakeholder management skills.

• Experience in defect analysis, process monitoring, and yield improvement.

• Ability to lead cross-functional initiatives in a fast-paced environment.

The Network Operations Engineer III is a senior-level role that focuses on the operation, maintenance, and troubleshooting of both optical and IP networks. This position demands a high degree of independence, accuracy, and attention to detail. The engineer will address a wide range of complex network issues, working on diverse problems with minimal supervision.

This role requires a deep understanding of optical and IP networking, hardware technologies, and network management tools.

Scope: 

• Resolve a wide range of network issues creatively and effectively.

• Monitor the performance and health of optical and IP networks using advanced network management tools.

• Tackle diverse and complex problems, applying sound judgment and innovative solutions.

• Operate with minimal guidance on daily tasks, requiring only general instructions for new assignments.

• Troubleshoot and resolve network issues to ensure minimal downtime and service disruptions.

Roles and Responsibilities:

Network Management:

• Manage and optimize hardware technologies to maintain network performance and capacity.

• Engage in day-to-day troubleshooting, working with multiple vendor equipment, and resolving various software and hardware issues.

Issue Resolution:

• Address network traffic issues and respond to queries raised by XFNs and partners.

• Collaborate with XFNs and vendors to resolve network-related problems promptly and effectively.

• Conduct root cause analysis for network outages, providing detailed reports and solutions.

Cross-functional Collaboration:

• Work closely with service providers, colocation facilities, and XFNs globally, ensuring seamless network operations.

• Support network infrastructure projects and collaborate with cross-functional teams on new network initiatives.

Additional Duties:

• Take on other duties as required, contributing to the overall success and reliability of the network infrastructure.

Required Qualifications/Skills:

• Bachelor’s degree with 5 to 8 years of related experience and/or training; or an equivalent combination of education and experience.

• Proven experience in optical networking (DWDM, CWDM) and IP networking (IPv4/IPv6, MPLS, BGP, OSPF).

• Strong judgment in selecting appropriate methods and techniques for obtaining network solutions.

• Comprehensive understanding of fiber-optic technology, including cable types,connector types, optic types, patch panels, and optical transport technologies.

• Experience in preparing root cause analysis reports for network and server outages.

• Strong communication skills, capable of effectively working with global service providers, colocation facilities, and ISPs.

Preferred Qualifications: 

• Experience working in a multi-vendor network environment.

• Relevant network certifications such as CCNA, CCNP, JNCIA, JNCIP, OCA, orequivalent.

Employment Type: 2-year contract (renewable)

Clearance: MSD security clearance required

Working Days/Hours: Mon-Fri, 8.30am-6pm

Location: West side, Ang Mo Kio (roving)


Scope of services

• Perform Asset Management of Infrastructure and Computing Devices

• Provide computer support services (Troubleshooting, patching, configuration, testing and maintenance) for any supported software and hardware.

• Work with 3rd parties vendors

• Provide Training, Coaching and Orienting users on how to use computer devices.

• Be responsible for completing assigned tasks on time and to the satisfaction of the users.

• Must be able to handle helpdesk duties.

Requirements:

• Candidate must possess at least a Higher Nitec in IT related qualification/Diploma in IT

• Fresh candidate with related IT Cert can be considered but must be proficient in Microsoft Words/Excel/Outlook.

• 1-2 years’ experience in similar capacity Technical Skills and experience supporting Computing Devices

• Able to support helpdesk in client's HQ

• Computing Devices Platform Supported : Windows, IOS and Android

• Professional competencies that include:
• Ability to work without supervision
• Good communication skills
• Pro-activeness and Initiative
• Ability to multitask
• Good at problem solving
• Customer service

·     
Job Description

·      Join the Software Engineering team on a physical Operations Technology (OT) integration project. 

·      You will build and maintain the backend systems that connect OT field devices to the digital twin platform — handling real-time data ingestion, protocol translation, and system integration across industrial communication standards. 

 Key Responsibilities

·       Develop and maintain backend services and middleware for OT/IoT data ingestion using OPC-UA, MODBUS, and MQTT protocols. 

·      Build data pipeline components that normalise, process, and route telemetry from field devices to platform services and 3D visualisation layers. 

·       Integrate AI coding tools (e.g. Claude, Copilot) into daily development workflows for code generation, unit testing, and validation — this is an expected practice, not optional. 

·      Write and maintain automated test suites covering protocol adapters, data transformation logic, and integration endpoints. 

·      Collaborate with frontend Unity engineers and systems architects to define and implement API contracts (REST/WebSocket). 

·      Participate in code reviews, contribute to technical documentation, and support deployment through CI/CD pipelines. 

·      Troubleshoot field connectivity and protocol issues; work with OT/hardware teams on device commissioning and debugging. 

Required qualification/skills:: 

·      Hands-on experience with OPC-UA, MODBUS, and MQTT — protocol implementation, not just conceptual familiarity. 

·      Proficiency in backend development (Python, Node.js, Go, or Java — at least one). 

·      Active use of AI tools for coding, testing, and validation in prior roles or personal projects. 

·      Experience writing integration and unit tests; familiarity with test automation frameworks. 

·      Comfortable working with message brokers (MQTT brokers, Kafka, or similar) and time-series or event-driven data. 

 Good to Have:: 

·      Exposure to digital twin platforms or industrial IoT stacks. 

·      Familiarity with OT security considerations (network segmentation, secure protocol configuration). 

·      Experience with containerisation (Docker/Kubernetes) and CI/CD tooling. 

·      Knowledge of BACnet, DNP3, or other industrial protocols. 

Experience Required:: 

·      2–5 years in backend or systems software engineering, with at least some exposure to OT/IoT environments.

·       Degree in Computer Science, Engineering, or equivalent practical experience.

Key Highlights | AI Algorithms Engineer (PHD Holder Only)

• 5 Work Days Per Week
• Office Near to Kaki Bukit MRT, Singapore
• Relocate Near Tai Seng MRT in August / September 2026
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Current Teams are focusing projects on AI Agent, Computer Vision, Vision Language Models (VLMs)

Job Responsibilities:

1. Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems.
2. Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy.
3. Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work.
4. Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products.
5. Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company's competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition.
6. Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders.

Job Requirements:

• Min Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field.
• Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations.
• Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills
• Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc.
• Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems.
• Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus
• Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus.
• Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits.
  
  

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions.

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.

Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most.

As Frontend Central Product Integration Engineering and transformative (CPIE) team at Micron Technology, Inc., you will be leading new initiatives to deliver pioneering process capability, best-in-class bits per wafer (Yield) with the highest quality and fastest speed through innovation and collaboration with multi-functional teams. Your primary focuses include but not limited to:

Initiate new data solutions and methodologies to:

• identify process, test, and design improvement opportunities, specialized in UE_ROW & all quality index, Front End-PTS integration, and high-value-bits (PG2+) yield;

• modeling, monitoring and aiming for tool performance benchmarking;

• Process equipment prognostics and process integration optimization;

• Identity test optimization opportunities for high product grade yield improvement.

• Collaborate with site Process & Equipment Engineering, Manufacturing(MFG), Product Integration Engineering (PIE) and Data Science (DS) team to establish feasibility of new initiatives, demonstrate business values, and prototype solution mock-ups;

• Partner with Global Quality (GQ), Product Engineering (PE), Central PEE(CPEE), Smart Mfg Artificial Intelligent (SMAI), Technology Development (TD), and Suppliers to deliver end to end solutions, implement BKM development and deployment to production.

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness,exercising sound judgment and complying with organizational standards and legal requirements.

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabledenhancements within one’s scope of work.

Collaboration

• Partner closely with multi-functional teams to ensure successful communication and collaboration for project implementation.

• Detail oriented with the ability to work independently

• Dependability and able to work effectively in multi-functional teams.

• Facilitate and lead activities in designing and optimizing current system, methods, tool, skill to be Best In industry.

• Manage priorities and enhancements to improve business processes and existing systems that are global in nature.

• Willing to work during non-standard hours when needed to provide support to engineering teams at any Micron site.

• Strong growth mindset and willing to continue to learn, unlearn, relearn.

Communication

• Effective communication skills in verbal/written.

• Self-motivated. Able to work independently with minimal supervision.

• Able to travel as required to support department and company objectives.

Requirement and Technical Competency:

• Experience in PIE, Test solution team, product engineering and circuit design engineering. Understanding of Process/Product Integration will be advantageous;

• In depth knowledge of processes, equipment and control system;

• Proficiency in data analytical tools such as Y3, JMP, Python to perform numerical experiment. Proficiency in Statistical/Machine Learning will be additional advantageous; 

• Proven track record to make decisions, multi-task, and solve problems and address root causes.

• Exhibit critical thinking to find opportunities.

• PhD/Masters/Bachelors with relevant course of study and experience

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.

Field Service Engineer (Semiconductor Equipment)

4 days, 12 hours shift

Salary: $2,800 - $3,200

Location: Woodlands

Job scopes:

• Install, troubleshoot, repair & service of semiconductor machinery.
• Carry out regular maintenance, repairing of equipment/machines and follow up on work orders, onsite-support equipment/machines installation
• Serves as company contact point with customer on technical matters

Requirements:

• Diploma/Degree in Electrical /Electronic/ Mechanical Engineering
• 1-2 years working experience in Semiconductor Industry, knowledge of electrical & mechatronics.
• Training Provided