Total 5,122 job vacancies in Singapore

• MNC (Woodlands)

• Company Transport Provided

• Basic: $3500 to $5000 + AWS + VB

• Excellent Benefits + Career Progression

• Process Manufacturing Plant
  

Job Responsibilities:

• Plan and execute preventive and predictive maintenance programs for plant machinery, rotating equipment, and utilities systems

• Monitor equipment performance and support reliability improvement initiatives to minimize unplanned downtime

• Troubleshoot and perform root cause analysis for equipment failures and implement corrective actions

• Coordinate maintenance schedules with production and operations teams to ensure smooth plant operations

• Support maintenance activities for pumps, motors, conveyors, compressors, heat exchangers, boilers, steam systems, and other plant utilities

• Maintain maintenance records, equipment history, and spare parts inventory through CMMS system

• Support plant shutdown, equipment overhaul, and continuous improvement projects

• Ensure maintenance activities comply with workplace safety, GMP, HACCP, and plant operational requirements
  

Requirements:

• Degree / Diploma in Mechanical, Electrical, Mechatronics, or related Engineering discipline

• Minimum 2–5 years of maintenance experience in edible oil, food manufacturing, FMCG, chemical, refinery, or process plant environment

• Hands-on experience with rotating equipment, pumps, motors, compressors, and utilities systems

• Familiar with preventive maintenance, predictive maintenance, troubleshooting, and CMMS systems
  

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background
  

We regret that only shortlisted candidates will be contacted.

NG DIAUM YEE (R2198031)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job title: Sputter Process Engineer - CK Job ID:20227

Location : West (Tuas)

Basic up to $4,000 + AWS bonus + Variable Bonus

Job responsibilities:

Participate in Sputter process in production lines to achieve higher density capacity/parameter

in order to meet customers’ requirement. Fostering a culture of continuous learning and development

• Ensure the sputtering machine is tuned to achieve higher capacity .
• Adjust the sputtering parameter to maintain high-quality output and minimizing defects.
• After Machine PM & changed material,perform conditioning to achieve guzik and start Mass production ASAP.
• Regularly monitor and maintain the sputtering equipment to ensure it remains in optimal condition.
• Optimize the sputtering process to maximize the efficient use of materials and reducing waste.
• Work closely with teams from different departments to ensure smooth operations and address any cross-functional issues.
• Analyze data from the sputtering process to identify trends and areas for improvement.
• Base on data analysis ,make precise adjustments to the sputtering machine to enhance performance and quality.
• Implement a continuous improvement approach to keep refining the sputtering process and achieve better results over time.
• Any other job assigned by superior.

Requirements:

-Diploma or Bachelor's degree in Material Science/Chemistry

- Experience in manufacturing process related role

-Understanding of Sputtering technology

-Good knowledge of Minitab

-Good knowledge of Microsoft Office

Interested applicants please send your resume to Calista@pasona.com.sg with email subject header "Job Application for Sputter Process Engineer - CK Job ID:20227".

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Koh Siew Xing

EA Registration No: R22104418

Pasona Singapore Pte. Ltd.

EA License No:90C4069

We are seeking a curious, analytical and technically confident postgraduate student to support the exploration and implementation of AI-driven workflows across the business.

This internship is designed for someone who is deeply interested in AI agents, automation and operational efficiency, and who wants hands-on exposure to how modern enterprises integrate AI into real operational environments.

The intern will work closely with teams across the organisation to identify workflows where AI agents and automation can create meaningful business value. This includes analysing current processes, understanding workflow objectives, mapping inputs and outputs and evaluating where AI can improve speed, scalability and effectiveness.

A key part of the role involves helping design future-state workflows that combine AI automation with practical human oversight. The intern will also support efforts to connect systems, organise structured and unstructured data flows and ensure AI tools have the right context to operate reliably.

• Exposure and Learning Opportunities
• AI agents and workflow automation
• Business process mapping and optimisation
• System integrations and operational workflows
• Structured and unstructured data management
• Workflow evaluation, testing and KPI tracking
• Human-in-the-loop AI operations and governance

Examples of Projects

• AI-powered lead qualification and enrichment
• Automation of contract review and intake processes
• Streamlining onboarding and internal operational workflows
• Building and organising AI-enabled knowledge bases
• Identifying automation opportunities to improve efficiency and scale
• Ideal Candidate Profile (Postgraduate Level)
• Naturally curious about AI, automation and business operations
• Strong interest in process improvement and systems thinking
• Able to quickly understand how workflows and systems connect
• Strong analytical, organisational and documentation skills
• Comfortable learning and experimenting with technical tools
• Exposure to APIs, automation tools, MCPs, CLIs or related technologies
• Clear communicator who works well across teams and functions

Why This Internship Matters

This role offers a unique opportunity for a postgraduate student to gain real-world experience at the intersection of AI, operations and business transformation, while contributing to high-impact automation initiatives that directly support global business performance.

• Well Established Medical Devices Manufacturing Company

• 1-Year Contract (Renewable / Potential Conversion to Permanent)

• Basic $8000 to $9300 + Completion Bonus

• Working location: Boon Lay

• Working day: Monday to Friday

• Working hours: 8.30am to 5.30pm

  
  

Job Responsibilities:

ERP System Implementation

• Coordinate and support the implementation of Microsoft Dynamics 365 Business Central (ERP).

• Work closely with business users, project teams, and external ERP vendors throughout the project lifecycle.

• Gather and document business requirements from various departments.

• Coordinate system testing, user acceptance testing (UAT), training, and go-live activities.

• Monitor project progress, timelines, risks, and deliverables.
  

Process Improvement

• Review existing operational and manufacturing processes to identify areas for improvement.

• Support inventory management and inventory costing enhancement initiatives.

• Drive continuous improvement projects to improve efficiency, productivity, and process effectiveness.

• Recommend and implement practical solutions to operational challenges.
  

Project Coordination & Stakeholder Management

• Coordinate project activities across Manufacturing, Operations, Supply Chain, Warehouse, Finance, and IT teams.

• Facilitate project meetings and follow up on action items.

• Communicate project updates and escalate issues when necessary.

• Ensure project milestones and objectives are achieved within agreed timelines.

  
  

Job Requirements:

• Degree or Diploma in Engineering, Manufacturing, Business, Supply Chain, Information Systems, or related disciplines.

• 3–5 years of project management, process improvement, or ERP project experience.

• Experience participating in or supporting ERP implementation projects is required.

• Exposure to Microsoft Dynamics 365 Business Central, Dynamics NAV, SAP, Oracle, NetSuite, or similar ERP systems is preferred.

• Manufacturing industry experience is essential.

• Experience in inventory management, production planning, warehouse operations, or inventory costing will be advantageous.

• Knowledge of Lean Manufacturing, Lean Six Sigma, or Continuous Improvement methodologies is preferred.
  

  
  

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background

  
  

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job Title: Field Engineer for S3/S5 work packages (LV secondary)

Role Overview

We are looking for an experienced Electrical Field Engineer to support an HVDC / Grid Solutions project.

The engineer will be site-based and act as the key technical interface between construction, commissioning, engineering teams, contractors, and clients.

The role focuses on supporting installation, troubleshooting, and commissioning activities related to LV Secondary Systems (S3/S5 work packages), ensuring technical issues are resolved effectively and properly documented.

Key Focus

• Focus on all issues related to secondary LV activities and associated interfaces (mainly but not limited to S3, S5 work packages)

• Ensuring daily monitoring in direct contact with the site teams and the partner(s) responsible for this activity

• This role is essential during Cable connection campaign

• Will provide close support and follow up to the engineering department by proposing documented solutions

• Update or prepare, as appropriate, SMFs under the supervision of the assigned engineering office

• Support the Lead field Engineer and S2 field Engineer during the cable-pulling campaign

Other actions

• Support to the Site Manager during technical meetings involving the client, partners, and subcontractors.

• Collaboration with the Quality and Document Control teams

• Ensures strict adherence to the change management process and the proper maintenance of "As-Built" (marked-up) documentation.

• Participates in technical and coordination meetings related to his engineering activity(ies), as well as those concerning general site operations and mandatory training sessions.

• Ensures that the GFC/SQ/SMF/Red Lines processes are used correctly

• Participates when required to GFC/SQ/SMF/RMU meetings with Site/engineering teams

• Supports all EHS (Environment, Health, and Safety) initiatives and ensures that all solutions to be implemented comply with applicable safety regulations

Requirements

• Degree in Electrical Engineering or related discipline.

• Experience in HVDC, substations, power transmission, or large-scale electrical projects.

• Similar experience on OCP or OCS station or large AC projects,

• Experience in site-based engineering, commissioning, or construction support preferred.

• Knowledge of LV secondary systems, protection & control, cabling, and electrical installation preferred.

• Strong understanding of electrical drawings, schematics, cable systems, and equipment interfaces. • Strong troubleshooting, communication, and coordination skills.

• Understanding of technical documentation related to the activity (SLD, Layouts and Erection drawing, Principles, Mechanical specifications, Equipment data sheets, BoM, OMM etc)

• Understanding of contractual obligations, limit of scope and evaluating contractual/cost impact of the possible solutions

• Analyzing planning for his scope and estimating the impact of issues.

• Familiar with Office suite (Excel, word)

Project Details

• Start Date: ASAP

• Working Hours: 6 days/week, 54 hours/week

• Overtime: Paid when working beyond 54 hours/week

• Site Allocation: Admiralty, Singapore with occasional travel to Batam site for work

• Contract length: 1 year (Extendable)

Position Overview:

• Develop image/video processing algorithms for camera related applications.

Responsibilities:

• Expand existing solutions to new levels of functionality, quality, and performance.
• Assist other teams with algorithm implementation, testing and verification
• Drive the productization of the hardware.
• Algorithm documentation
• Collaboration with external researchers.

Requirements:

Key Qualifications:

• BS/MS/PhD in Electrical Engineering, Computer Science or equivalent.
• Knowledge of image processing algorithm development;
• Good understanding of digital photography, image quality assessment.
• Proficiency in C/C++
• Demonstrate great teamwork, outstanding communication skills, and willingness to learn.

Advantageous:

• Familiar with image and color processing techniques, including HDR, AWB, color correction, noise reduction, IR removal/suppression and CFA demosaicing, etc.
• Proficiency in developing, implementing and deploying image processing algorithms for ISPs, or CMOS image sensors
• Strong mathematics background and track record of independent algorithm research.

The Ministry of Education (MOE) is modernizing its flagship learning platform, the

Student Learning Space (SLS). As a Software Engineer, you will be at the heart of this

transformation. You will build the next-generation SLS — a scalable, high-impact

platform designed to connect industry partners, teachers, and students within a vibrant

education technology ecosystem.

Your responsibilities include:

● Feature Development: Design, develop, and maintain robust, scalable, and

high-quality software modules for SLS.

● Technical Implementation: Write clean, testable, and efficient code while

adhering to established engineering standards and best practices.

● Collaborative Design: Work closely with Product Managers, UX Designers, and

Education Officers to translate pedagogical and curriculum requirements into

seamless digital experiences.

● System Architecture: Contribute to architectural discussions and help make

technical decisions that ensure the platform remains performant and

maintainable.

● Code Quality: Participate in and conduct code reviews to ensure system

coherence and mentor junior engineers in the team.

● DevOps & Reliability: Support the CI/CD pipeline and help manage cloud-native

deployments to ensure high availability and security of services.

● Agile Participation: Engage in agile ceremonies, contributing to sprint planning,

estimations, and retrospectives to drive continuous improvement.

What we are looking for:

● Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a

related field.

● 3–5 years of professional software engineering experience, preferably in a

full-stack role

● Solid foundation in modern programming languages (e.g., Python, Node.js, Go)

and frontend frameworks (e.g., React, Vue).

○ Experience with cloud-native architectures (AWS/Azure/GCP) and

microservices.

○ Familiarity with containerization (Docker, Kubernetes) and CI/CD tools.

● Strong analytical mindset with the ability to troubleshoot complex system issues

and optimize performance.

● Excellent communication skills and a desire to work in a collaborative,

cross-functional environment.

● A passion for learning new technologies and a commitment to fostering a culture

of technical excellence and inclusion

Job Description

We are looking for multiple seasoned Senior and Staff System Engineers to grow an Edge AI & Systems software team to the next level. This team works within the larger ASIC team to architect and enhance Neural Network solutions in the Video Processor roadmap including these current and older products:

• https://www.ovt.com/products/oax8000/
• https://www.ovt.com/products/oax4600/
• https://www.ovt.com/products/oa7100/

Deliveries:

• Neural Network Processor (NPU) architecture, programming Model, simulation, verification, profiling and optimization
• Specification, review and verification of other IP blocks
• FPGA images and IO boards for pre-silicon verification and design exploration
• Boot ROM, bare metal BSPs, sample applications

Responsibilities:

• Support Inference Engine, Toolchain and ASIC teams on NPU
• Constantly improve productivity through automation in all areas

Skills:

• Strong ANSI C bare-metal design, implementation, optimization and debugging using GCC-like toolchains
• Strong processor architecture knowledge: ARM/RISC-V ISA, symmetric multiprocessing, cache architecture, SIMD, Vector Processing, custom instructions
• Strong software, hardware and FPGA debugging capability
• Good communication, collaboration, task estimation & reporting, CI/CD via tools such as Confluence, Git, JIRA etc
• Familiarity with
• Python for prototyping, demo, verification and/or automation
• OS: GNU/Linux, proprietary RTOS, Bare metal

The following will be advantageous:

• Detailed and comprehensive understanding of TinyML (e.g. TensorFlow Lite for MCUs), from training, quantization through to operator execution, optimizing for power, performance, and size.

Requirements:

1. Ph.D/MSEE/BSEE in Electrical Engineering, Computer Science or Computer Engineering
2. At least 5 years of commercial embedded system architecture and development experience.
3. Experienced in fixed point computing implementation strategies, such as quantization, scaling, saturation and overflow handling.
4. Design, implement, and maintain high-quality C/C++ functional & bit-Accurate Model for NPU operation simulation

Description:

• Lead applied research and strategic definition of machine learning algorithms, quantization methodologies, and toolchain capabilities for the Neural Network Development Kit (NDK) roadmap targeting next-generation Edge AI compute solutions
• Drive innovation at the intersection of ML algorithms and constrained hardware environments, identifying and validating the latest Edge AI technologies applicable to product requirements
• Serve as the primary technical interface between the AI Architecture team and the Software (Edge AI) team, delivering well-researched toolchain feature proposals and algorithmic specifications for implementation
• Collaborate with Software (Edge AI) and AI Architecture teams to identify and pursue targeted improvements in ML software methodology, and support Software-initiated improvement efforts with algorithmic insight and implementation guidance
• Maintain deep engagement with the global Edge AI research community to ensure the NDK roadmap reflects the state of the art in model efficiency, compression, and on-device learning

Key Responsibilities:

• Collaborate with the Sr. Design Manager (AI Architect) to define and maintain the NDK toolchain feature roadmap, ensuring alignment with the NPU hardware roadmap and overall AI product strategy
• Research, evaluate, and recommend quantization algorithms, pruning strategies, knowledge distillation techniques, and other model compression methodologies suited to constrained hardware targets
• Assemble and lead focused task forces drawing on partial bandwidth from the Software (Edge AI) and IC Design teams to prototype, benchmark, and validate proposed toolchain concepts before broader commitment
• Prototype and benchmark candidate ML algorithms and toolchain features to quantitatively demonstrate accuracy-performance trade-offs and justify roadmap prioritization

• Translate hardware architectural capabilities and constraints (as defined by the NPU Architect) into concrete toolchain feature requirements and algorithmic optimization opportunities
• Deliver comprehensive technical specifications and algorithmic documentation to the Software (Edge AI) team to enable confident and accurate implementation of NDK features
• Collaborate closely with the Software (Edge AI) team throughout the implementation phase to resolve algorithmic questions, validate correctness of implementations, and ensure performance targets are met
• Actively monitor and synthesize developments from the Edge AI research community — including publications, open-source frameworks, and industry benchmarks — to continuously inform and refresh the NDK roadmap
• Partner with the Software (Edge AI) team to jointly identify ML toolchain methodology improvement opportunities and drive those that originate from the AI Architecture team; provide expert advisory support for methodology improvements initiated by the Software team
• Evaluate and apply a range of productivity tools and techniques — including but not limited to AI-assisted methods — to accelerate algorithmic prototyping, benchmarking, and specification productivity
• Evaluate and integrate relevant open-source ML frameworks, runtimes, and toolchain components (e.g., MLIR, TVM, ONNX Runtime) as acceleration vectors for NDK development

Requirements:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or related technical field; PhD preferred, particularly in machine learning, optimization, or computer architecture
• 8+ years of experience in applied machine learning engineering or Edge AI software, with at least 5 years focused on model optimization, ML compilers, or on-device inference toolchain development
• Proven expertise in quantization (PTQ, QAT), pruning, knowledge distillation, and other model compression techniques with demonstrated results on resource-constrained hardware
• Strong knowledge of AI/ML algorithms, neural network architectures (CNNs, RNNs, Transformers, etc.), and the trade-offs between model accuracy, computational complexity, and memory footprint
• Demonstrated ability to stay at the forefront of the Edge AI research community, with a track record of translating academic and industry advances into practical product roadmap contributions
• Hands-on experience with mainstream ML frameworks (PyTorch, TensorFlow/Lite) and familiarity with ML compiler stacks such as MLIR, TVM, or ONNX Runtime
• Experience consuming hardware architectural specifications and translating them into software toolchain requirements and algorithmic optimizations
• Excellent communication skills with ability to present complex research findings and toolchain proposals clearly to architecture, software, and executive audiences
• Strong analytical and problem-solving abilities with emphasis on quantitative benchmarking, accuracy-efficiency trade-off analysis, and performance profiling on target hardware
• Demonstratedability to work collaboratively across team boundaries, including assembling and coordinating cross-functional task forces without direct authority
• Familiarity with RISC-V ISA and its software ecosystem, particularly in the context of AI inference deployment
• Experience with FPGA-based or simulator-based prototyping to validate algorithmic concepts against pre-silicon hardware models (preferred but not required)
• Self-motivated with ability to work independently, lead applied research initiatives, and drive toolchain innovation from algorithmic exploration through specification and successful team handoff

Highlights

• No experience required as training provided 

• Gross salary up to $3,200, including shift premium and allowances

• AWS + Variable Bonus (15% of Annual Salary) 

• Company transport from Boon Lay, Choa Chu Kang, Joo Koon, Pioneer, Woodlands, and Jurong East

• 2-2-3 shift pattern, average 14–15 working days per month
  

Job Responsibilities

• Operate production equipment and support daily manufacturing activities

• Perform quality checks and report any abnormalities

• Complete production documentation and system transactions accurately

• Follow GMP, GDP, SOP, safety, and quality requirements

• Maintain good housekeeping and support continuous improvement activities
  

Requirements

• NITEC / Higher NITEC or equivalent

• Candidates with or without experience are welcome

• Able to work 12-hour rotating day/night shifts on a 2-2-3 schedule

• Comfortable working in a cleanroom environment

• Responsible, disciplined, and willing to learn

Job Description

• Industry/ Organization Type: Industrial Equipment Manufacturer
• Position Title: Customer Consultant / Service Sales Engineer
• Working Location: Boon Lay
• Working Hours: 5 days (Mon – Fri, 8.30am – 5.30pm)
• Salary Package: Basic salary up to $4,800 + Transport Allowance + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Act as the customer’s main contact person and handle customer-related matters
• Manage a group of accounts, identify key customers, and create action plans to grow these accounts
• Identify solutions needed to meet customer needs and work closely with the Technical Support Team to make them available
• Identify opportunities with existing and new customers, and update them on service value-added offerings
• Identify sales opportunities, prepare proposals, and coordinate related processes to maintain high customer satisfaction and strong customer relationships
• Support customer growth and loyalty through ongoing assistance and follow-up
• Handle customer complaints by working with internal teams to investigate issues, assess possible solutions, and recommend options to customers
• Arrange regular service reviews with customers and the Operations team for urgent jobs and key issues
• Understand customer and industry needs, and support pricing and sales strategies
• Prepare and review contract terms and conditions
• Present proposals to customers
• Share market feedback, including competitor updates, customer expectations, and industry trends
• Perform other related duties as assigned

APPLY NOW!!!

• Bachelor’s degree in Engineering with at least 2 years of relevant sales experience
• Knowledge of HVAC systems, chiller plants, airside systems, energy services, and building services is an advantage
• Able to read and understand engineering documents and respond professionally to customer questions or complaints; able to understand written instructions, emails, and reports
• Able to identify problems, gather data, and make sound conclusions
• Customer-focused, with a drive to propose suitable options to meet customer needs
• Willing to learn new solutions and improve skills to better support customers

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #82096 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

All the responsibilities we will trust you with:

• Installation, maintenance and servicing of a wide variety of equipment including but not limited to:

1. General security systems
2. Alarm systems
3. CCTV systems
4. Access control systems

• Troubleshoot problems encountered on site.
• Diagnose and resolve issues related to network connectivity, server performance, and communication between security systems (e.g., CCTV, alarm systems, access control systems).
• Provide feedback to management on issues faced on the ground.
• Perform routine maintenance and firmware updates on servers, network devices, and security system software to ensure systems remain reliable and up to date.

Your areas of knowledge and expertise that matter most for this role:

• Candidate must possess at least a Professional Certificate/ NiTEC in Engineering (Electrical/Electronic) or equivalent.
• 2 years of working experience in the related field is preferred for this position.
• Candidate must possess a Class 3/Class 3A driving license.

Job Description:

·       Responsible for handling customer quality issues and continuous improvement activities of the Company products and processes.

·       Liaise with process department on quality related issues to follow-up on effective corrective/preventive actions.

·       Required to carry out activities such as process optimization, benchmarking, etc through various statistical tools and software.

·       Handle external body audit in accordance to TS & ISO requirement

Requirements:

·       Degree in Chemical/Mechanical Engineering, Chemistry, Materials Science or equivalent.

·       Relevant experience from the semiconductor industry in servicing customer in quality related issues is a plus.

·       Knowledge of statistical software such as DOE & JMP and QC tools (FMEA, SPC and 8D format report writing) will be an added advantage.

·       Statistically inclined with good analytical & problem solving skills;

·       Self-motivated, resourceful, action-focused and result-oriented team player.

·       Familiar with IATF16949 requirement is a plus.

·       Willing to travel overseas

HOW TO APPLY:

Interested applicants, please click on “Apply Now” or submit your resume to ref71@trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Lee Jia Xiang

EA Personnel Reg No: R25158171

Job Description:

• Responsible for developing, testing, and improving premium connections and OCTG products during the development phase, ensuring they meet rigorous industry standards.
• Coordinating with customers and providing technical advice/training on the range of OCTG products, often involving rig field services.
• Executing validation tests (often in specialized, high-pressure, or high-temperature environments) to verify the integrity and performance of new designs.
• Planning, managing, and documenting test results for internal and client review.

Requirements:

• Min Diploma in Mechanical/ Manufacturing/ Precision Engineering, or equivalent.
• Minimum 3 years of experience in Oil and Gas, specifically with OCTG and downhole tools.
• Knowledge of ISO/API standards related to OCTG and connections. 

To submit your application, please apply online apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd.
EA License No: 17C8900

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