Total 4,915 production engineer job vacancies in Engineering category

Job Description & Requirements

Responsibilities

• Supervise construction works on site to ensure compliance with BCA regulations and accurate implementation of design documentation

• Coordinate on-site activities to maintain smooth workflow and uphold construction safety standards

• Perform project-related duties as assigned to support successful project delivery

• Use MS Word, Excel, and Project to update project status and prepare reports effectively

Required competencies and certifications

• Registered as Resident Engineer accredited by IES/ACES with a minimum of 3 years HDB/PUB/LTA/Private project experience

Preferred competencies and qualifications

• Degree in Civil Engineering or equivalent from other recognized tertiary institutions

• National Certificate on Construction Supervision from BCA or equivalent

• Proficiency in MS Word, Excel, and Project for project updates and reporting

We are hiring Module Engineers (Process / Equipment) to support advanced semiconductor wafer fabrication in a high-volume manufacturing environment. This role focuses on Diffusion, Ion Implantation, Etch, or Thin Film deposition processes, ensuring stable tool performance, high yield, and continuous process improvement.

This is an excellent opportunity for engineers with semiconductor manufacturing, wafer fabrication, process engineering, or equipment engineering experience to grow in a leading global semiconductor company.

Key Responsibilities

• Support daily semiconductor wafer fabrication operations within assigned module (Diffusion / Implant / Etch / Thin Film)

• Perform process monitoring, equipment troubleshooting, and root cause analysis (RCA)

• Drive yield improvement, defect reduction, and process optimization initiatives

• Execute statistical process control (SPC), data analysis, and process capability monitoring

• Support equipment qualification, preventive maintenance (PM), and tool recovery

• Collaborate with Process Integration, Manufacturing, and Equipment Engineering teams

• Participate in continuous improvement (CI), lean manufacturing, and cost reduction projects

• Ensure compliance with safety, cleanroom protocol, and semiconductor quality standards

Requirements:

• Degree / Diploma in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Physics, or related discipline

• Experience in semiconductor manufacturing / wafer fabrication environment preferred

• Exposure to Diffusion, Ion Implant, Etch, or Thin Film processes is highly advantageous

• Knowledge of SPC, DOE, 8D, RCA, or yield management tools

• Strong analytical, troubleshooting, and problem-solving skills

• Familiar with cleanroom operations and high-volume manufacturing (HVM) environment

• Good team player with strong communication skills

• Willing to work in shift rotation (if required)

How to apply: Interested candidates, kindly email updated resume to xiaoyee@wanco-manpower.com with Subject of "Engineer", thank you.

ACMV Engineer (Air Conditioning and Mechanical Ventilation Engineer)

Working Days: Monday – Friday
Working Hours: 9am – 5.30pm
Salary: $ 3,800 - $ 5,000
Working Location: Eunos

Industry: Interior Design & Construction Company

Job Responsibilities:

• Design and planning of ACMV and MV systems
• Preparing and submitting tenders (Tender Costing)
• Conducting site surveys and managing the construction site (Site Management)
• Familiar with and arranging ACMV related services
• Assisting in the procurement of engineering equipment and materials (Procurement)
• Supervising on-site installation work to ensure compliance with drawings and specifications
• Assisting in testing and commissioning (T & C) Commissioning) Assisting with system troubleshooting and problem solving
   

Requirements:

• Diploma in Engineering-related experience (Mechanical, Electrical or construction services preferred)
• 2+ years of relevant work experience
• Familiarity with local regulations and standards preferred 

Chin See Min Reg No. : R22107450

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Job Summary:

We are seeking a skilled Computational Fluid Dynamics (CFD) Simulation Engineer to support the simulation and analysis of fluid flow, thermal simulation, and related physical phenomena in product development. The ideal candidate will have experience with industry-standard CFD tools and a solid foundation in fluid mechanics, thermodynamics, and simulation-driven design optimization.

Key Responsibilities:

• Perform CFD simulations to support design, development, and optimization of products and systems
• Analyze and recommend designs changes in fluid flow, thermal performance, aerodynamics, and/or cooling efficiency as required by the project
• Develop computational models, define boundary conditions, mesh geometry, and run simulations using tools such as ANSYS Fluent, FloEFD, or other CFD software packages
• Interpret simulation results, create reports, and provide actionable recommendations to design and product teams
• Collaborate with cross-functional teams including design, testing, and manufacturing to integrate simulation insights into product development
• Initiate experiments to gather insights that connect the gaps between simulation models, products, and systems as needed
• Validate simulation results with physical test data and refine models as necessary
• Maintain simulation best practices and contribute to the development of simulation standards and procedures
• Stay current with emerging CFD technologies and techniques

Requirements:

• Master’s degree or higher in Mechanical Engineering, Aeronautics Engineering, Physics or relevant disciplines
• Minimum 2 years of relevant experience in fluid flow / thermal simulation
• Experience in mechanical design and experimental techniques preferred
• Programming knowledge in C/C++ and/or Python
• Proficiency in using simulation software packages such as ANSYS Fluent, FloEFD, COMSOL, or similar CFD tools

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.

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

Role Overview

We are seeking an experienced Backend Engineer with strong expertise in Generative AI technologies to join our growing AI engineering team. This role focuses on designing, developing, and maintaining scalable backend services, AI orchestration frameworks, and cloud-native AI solutions that support enterprise-grade AI applications.

The successful candidate will contribute to the development of intelligent agent frameworks, Retrieval-Augmented Generation (RAG) solutions, AI marketplaces, and secure AI-enabled services while collaborating closely with product, frontend, and platform engineering teams.

Key Responsibilities

AI Orchestration and Agent Development

• Design and develop orchestration frameworks for AI agents using Python-based technologies and cloud-native AI services.

• Develop, integrate, and maintain reusable AI capabilities, agent workflows, and third-party API integrations.

• Support the onboarding and lifecycle management of agent capabilities and automation services.

Advanced RAG and Cloud Integration

• Design, implement, and optimise Retrieval-Augmented Generation (RAG) architectures.

• Integrate Large Language Models (LLMs), embedding models, and enterprise knowledge sources within cloud environments.

• Manage retrieval strategies, context management, and performance optimisation for AI applications.

Platform and Marketplace Development

• Design and develop backend services supporting AI capability marketplaces and knowledge-sharing platforms.

• Enable secure publishing, versioning, management, and governance of datasets, AI agents, document-based chat applications, and reusable AI capabilities.

Backend and API Engineering

• Architect, develop, and maintain scalable backend services and APIs.

• Design and manage relational database solutions, including PostgreSQL, to support application data and workflow management.

• Ensure high availability, performance, maintainability, and scalability of backend systems.

Vector Search and Data Engineering

• Design and optimise vector search, retrieval systems, and search infrastructure.

• Manage vector databases, search platforms, and indexing strategies to improve retrieval accuracy, relevance, and performance.

Agent Observability and Evaluation

• Implement monitoring, telemetry, and observability capabilities for AI applications and agent workflows.

• Develop evaluation frameworks to assess AI outputs, application performance, reliability, and quality.

• Support initiatives to improve model performance and reduce inaccurate or undesired outputs.

AI Security and Governance

• Implement security controls for AI applications, including access controls, data protection measures, content filtering, and secure integration practices.

• Ensure compliance with enterprise security, governance, privacy, and regulatory requirements.

• Support the responsible use of AI technologies through risk management and governance frameworks.

Data Pipelines and Platform Support

• Design and maintain data ingestion, transformation, and processing pipelines supporting AI applications and knowledge systems.

• Support data preparation workflows and integration with vector databases and enterprise data platforms.

Cross-Functional Collaboration

• Work closely with frontend engineers, designers, product teams, and platform engineers to deliver end-to-end AI-enabled solutions.

• Participate in architecture reviews, technical discussions, and continuous improvement initiatives.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• At least 5 years of software engineering experience with strong expertise in backend development, API design, and distributed systems architecture.

• Hands-on experience building AI-enabled applications using frameworks such as LangChain, LlamaIndex, LangGraph, or equivalent technologies.

• Experience working with managed Large Language Model (LLM) platforms and AI services.

• Strong familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

• Experience with AI services including AWS Bedrock, OpenSearch, or equivalent cloud-native AI technologies will be advantageous.

• Strong experience with PostgreSQL and relational database systems.

• Familiarity with vector database technologies, semantic search, and retrieval systems.

• Experience developing secure, scalable, and production-grade software solutions.

• Understanding of modern frontend technologies such as React and Next.js.

• Experience using AI-assisted software development tools while maintaining software quality, security, and maintainability standards.

Preferred Experience

• Experience with workflow automation platforms such as n8n, Flowise, or similar technologies.

• Experience with AI observability, monitoring, and evaluation tools.

• Experience working within environments requiring strict security, governance, privacy, or regulatory compliance standards.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

• Supervise testing and commissioning of electrical equipment on-site and manage the review and submission of site acceptance test reports.
• Review and interpret Single Line Diagrams and Electrical Schematic Drawings.
• Support electrical equipment installation inspections to ensure compliance with standards.
• Participate in site activities and meetings with clients and contractors.

Requirements:

• Diploma in Electrical Engineering.
• At least 3 years’ local experience in LV/MV electrical equipment installation, testing, commissioning, or maintenance within the built environment sector.
• Possess initiative and able to work in a fast-paced environment.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Job Description

Corebuild Solutions Pte. Ltd. is seeking a Mechanical Engineer (M&E Project Engineer) to support the planning, coordination and execution of renovation, fit-out and building services projects.

The successful candidate will be responsible for managing mechanical and electrical (M&E) works, coordinating project activities and ensuring successful project delivery in accordance with project requirements, quality standards and safety regulations.

Key Responsibilities

• Plan and coordinate M&E works for renovation and fit-out projects.
• Review technical drawings, shop drawings and project specifications.
• Coordinate with clients, consultants, subcontractors, suppliers and authorities.
• Supervise site activities and monitor project progress.
• Coordinate electrical, ACMV, plumbing, sanitary and CCTV infrastructure works.
• Prepare project documentation, technical submissions and progress reports.
• Attend project meetings and provide technical support to project teams.
• Monitor project schedules, quality standards and compliance requirements.
• Support testing, commissioning and handover of completed projects.
• Assist in procurement, cost control and project planning activities.

Requirements

• Degree in Mechanical Engineering, Electrical Engineering, Building Services Engineering or related engineering discipline.
• Minimum 1 year of relevant experience in construction, renovation, M&E or building services projects preferred.
• Knowledge of ACMV, electrical, plumbing and building services systems will be advantageous.
• Ability to interpret engineering drawings and technical specifications.
• Good communication and coordination skills.
• Proficient in Microsoft Office applications.
• Knowledge of AutoCAD will be an advantage.

·     
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.