Total 6,218 job vacancies in Singapore

Field Service Engineer (Semiconductor Equipment, Entry Level Welcome)

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

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

Equipment Service Engineer

Working day: Monday – Friday, 830am - 5:30pm
Salary range: $3000 - $4800
Location: Woodlands Ave (Nearest Mrt: Admiralty)

This Equipment Service Engineer will be responsible for installing, testing, and maintaining automation systems, troubleshooting and repairing electrical/electronic components, configuring software, and ensuring smooth communication with customers. They will handle support requests, coordinate with internal teams, and provide accurate service reports.

Responsibilities

• Automation system installation, testing, commissioning, and maintenance.
• Setup electronics controllers, PC, and install software.
• Perform onsite machine buy-off as per agreed customer requirements
• Analyze equipment failures and identify root causes to effectively repair equipment failures.
• Able to analyze electrical/electronic circuit, read machine logfiles to identify root cause for the problem
• Able to repair electrical components, setup robot software, PC software.
• Establish a seamless interface between customers and the company.
• Demonstrate high integrity and work independently with minimal supervision.
• Spearhead customer issues and coordinate with internal departments and customer stakeholders to resolve them efficiently. Escalate to management if necessary.
• Respond to phone support and onsite support requests in accordance with SLA.
• Prepare and present accurate, detailed service reports in a timely manner.

Job Requirement:

• Diploma or Bachelor’s degree in Electronics, Computer Engineering or equivalent
• Min 3 years or more of experience in automation systems setup or service support
• Proficiency in electrical components such as servo motors and robots
• Proficiency in installing software, configuration and setting up PCs and machines
• Ability to read equipment log files and process flows to debug machine breakdowns
• Willingness to travel for overseas assignments on short notice.

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

Working days: either 4 days 12 hours rotating shift

Location: Islandwide , office at Woodlands

Salary: $2800 -$3500 depends on experience

Job scope:

• Semiconductor machines startup and installation

• Perform equipment on-site installation, diagnosing, troubleshooting, servicing, and repairing

• Perform equipment continuous improvement programmes, preventive maintenance, modifications and repairing works

• Serves as company contact point with customer on technical matters

• Attends to customers complaints and provides timely solutions

• Other ad hoc duties

Requirements:

• Nitec/ Diploma in Mechanical/ Mechatronic Engineering or related discipline

• Hands-on experience in semiconductor machine maintenance

• Able to work in cleanroom environment

  
  

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28SHINE-Industry-Projects-and-Programme-Support%29/33489-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

SHINE Industry Projects and Programme Support
•             Coordinate SHINE consortium activities and industry project administration.
•             Support coordination among researchers, industry partners, government agencies, and internal stakeholders to facilitate SHINE activities and industry collaborations.
•             Coordinate industry project activities, including tracking project progress, deliverables, milestones, and reporting requirements.
•             Maintain project documentation, records, and administrative materials to support project execution and compliance requirements.
•             Support technical workshops, industry engagements, consortium activities, and collaborative initiatives involving SHINE researchers and industry partners.
•             Organise workshops, seminars, technical talks, industry visits, and stakeholder engagement activities.
•             Support development of postgraduate programme operations and related programme initiatives.
•             Liaise with researchers, industry partners, government agencies, students, and internal stakeholders to support programme objectives.
•             Provide administrative and operational support for SHINE initiatives and other ad-hoc programme activities as assigned.

Qualifications

•            Possess a Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Mathematics), preferably in Electrical Engineering, Computer Engineering, Materials Science, Physics, Mechanical Engineering, or a related field.
•             Relevant experience in project coordination, industry collaborations, stakeholder engagement, programme administration, research administration, or related functions would be advantageous.
•             Experience coordinating projects, workshops, industry engagements, postgraduate programmes, internships, or multi-stakeholder initiatives would be advantageous.
•             Ability to engage effectively with researchers, students, industry partners, government agencies, and other stakeholders.
•             Strong interpersonal, communication, stakeholder management, and organisational skills.
•             Ability to manage multiple priorities and work effectively in a dynamic environment.
•             Experience in a university, research institute, government agency, corporate laboratory, or technology-related environment would be advantageous.
•             Familiarity with semiconductor technologies, advanced packaging, microelectronics, photonics, or related technology domains would be advantageous.
•             Self-motivated, resourceful, and able to work independently as well as collaboratively within a team.
•             Open to appointment on a fixed-term contract.

Leading international project management and construction consultancy with a strong global footprint across mission-critical and data centre developments. Known for delivering complex projects for hyperscalers, colocation providers, and enterprise clients, the organisation emphasises collaboration, professional growth, and long-term client relationships.

They are currently seeking a Project Manager (Electrical) to support the delivery of electrical packages on data centre construction projects.

The Role

In this role, you will be responsible for supporting the successful delivery of electrical works on data centre projects, working closely with clients, consultants, and contractors to ensure programme, quality, and safety objectives are achieved.

Responsibilities

• Support the delivery of electrical packages across data centre construction projects

• Attend and contribute to key project meetings to monitor progress, resolve issues, and communicate impacts to stakeholders

• Implement and monitor project procedures and governance processes

• Partner with the client team to review and improve project controls, workflows, and reporting

• Maintain a strong on-site presence, monitoring progress and promoting safe work practices

• Produce and manage weekly action plans for critical activities and follow up with all stakeholders through to completion

• Review proposed variations, change requests, and programme delays

• Coordinate with clients, consultants, and contractors on snagging, commissioning readiness, and close-out activities

Requirements

• 4 years of construction project management experience with a strong electrical background

• Experience on data centre or mission-critical projects is highly preferred

• Degree in Electrical Engineering, Construction Management, Project Management, or related discipline
  

  How to Apply: Click Apply Now, or send your resume directly to:  Talent@BuildBridgePartners.com
  
  
  

  
  
  

  
  
  

  EA Name: BuildBridge Partners Pte Ltd
  EA License No: 25C2918
  EA Reg No: R1551092
  Consultant: Khoo Yan Jie

Summary

Julian Grey’s client is an established company in the construction sector.

Responsibilities

• Manage day-to-day project execution to ensure works are completed safely, on time, within budget, and in accordance with project requirements.
• Plan and coordinate site activities, work schedules, manpower, materials, equipment, subcontractors, and other project resources.
• Liaise with clients, consultants, contractors, subcontractors, vendors, and internal teams to ensure smooth project coordination and timely resolution of site issues.
• Monitor project progress, productivity, cost control, progress claims, financial reports, work reports, and project documentation.
• Ensure compliance with contract terms, procurement procedures, variation order processes, risk controls, safety requirements, and project close-out requirements.
• Lead and supervise project teams, promote strong workplace safety standards, and support team performance through guidance, coaching, and feedback.

Requirements

• Diploma or Degree in Civil Engineering or a related discipline.
• Minimum 5 years of relevant experience in construction project management.
• Relevant experience in specialised ground-related civil works.

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Interested Applicants
Please WA Marie @ 80439947
Shortlisted candidates will be notified

Marie Xie
Reg No. R1103987
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

*Manage client's expectation and relationship

*Overseeing project activities, ensuring smooth project execution and progress of every project.

*To ensure cost management of project

*Managing manpower and assigning tasks to team members based on their skills and project requirements.

*To co-ordinate and liaise with relevant parties (clients, architect, consultant, suppliers etc etc...) and respond to all emails

*Attend co-ordination and progress meeting on-site

*Ensuring projects stay on schedule and within budget.

*Resource Management

Lye Chong Herng (R1657957)

Business Edge Personnel Services Pte Ltd (96C4864)

Responsibilities:

• Lead the Practice team in development, configuration and implementation of the site standard practice and project management
• Oversee and supervise the Practice Management team in providing support to internal teams
• Lead and provide guidance during review meetings
• Consolidate and provide weekly progress updates to the Project Team
• Monitor and manage site work progress in fulfilling d and meeting timelines
• Support Project Lead in tracking implementation progress, monitoring customisation budget and report and communicate to project manager.

Project Management:

• Lead and manage multiple construction projects from initiation to completion.
• Develop detailed project plans, including scope, timeline, resource allocation, and budget.
• Monitor project progress and performance, ensuring projects stay on track and within budget.
• Co-ordinate the efforts of all parties involved in the project, which include the architects, consultants, contractors, sub-contractors.
• Provide leadership, direction, and guidance to the design team on test fitting of layouts, curation of design intents, material selections, keeping abreast of innovative or creative design solutions.
• Monitor project cash flow projections, ensuring payments are processed promptly and recommended to the Client for payment on time.
• Ensures projects deliver specified results and meet quality expectations

Job requirements:

• Demonstrated interpersonal, management and communication skills strong oral and written skills
• Require more than 3 years of experience in a leadership position managing more than one project.
• Strong leadership and management skills with the ability to motivate and manage a team.
• Strong analytical and problem-solving skills, with the ability to identify and resolve complex issues.

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.