Total 13,414 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.

Role Overview

We are seeking a Data Engineer to design, develop, and maintain scalable, secure, and reliable data platforms and pipelines that support business and operational needs. The successful candidate will work closely with stakeholders, engineers, and data stewards to deliver high-quality data products while ensuring strong governance, security, and operational excellence.

Key Responsibilities

Data Pipeline Development and Architecture

• Translate business and data requirements into technical specifications and scalable data solutions.

• Develop and maintain data products as part of a cross-functional data team.

• Design, build, and optimise data ingestion pipelines to collect, transform, integrate, and harmonise data from multiple source systems.

• Design, develop, test, and maintain reusable data models to support reporting, analytics, and operational use cases.

• Implement secure and efficient mechanisms for users and applications to access enterprise data assets.

• Evaluate and implement new technologies, tools, and processes to enhance data infrastructure capabilities and performance.

Data Quality, Testing and Validation

• Develop and implement data quality controls and validation processes to ensure data accuracy, completeness, and consistency.

• Design, execute, and maintain test cases for data pipelines, including functional, regression, and exploratory testing.

• Build and maintain automated testing frameworks to improve data reliability and reduce production defects.

• Perform data reconciliation and integrity testing to validate end-to-end data processing and transformation workflows.

• Support User Acceptance Testing (UAT) activities by working with stakeholders to validate business requirements and expected outcomes.

Operations, Governance and Continuous Improvement

• Monitor and maintain databases, ETL processes, and data platforms, including performance optimisation, troubleshooting, capacity planning, and operational support.

• Collaborate with technology teams and stakeholders to align infrastructure, security, and platform requirements.

• Support the implementation and enforcement of data governance policies, standards, and best practices.

• Maintain data catalogues, metadata repositories, and data lineage documentation.

• Implement data security controls, including access management, encryption, masking, and other data protection measures.

• Drive continuous improvements in CI/CD, DevOps, and Site Reliability Engineering (SRE) practices.

Requirements

Qualifications and Experience

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

• Strong understanding of system design principles, data structures and algorithms, data modelling, data access patterns, and data storage technologies.

• Experience designing, building, and maintaining batch and real-time data pipelines.

• Hands-on experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory.

• Proficiency in Python, SQL, and Shell scripting.

• Experience working with cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).

• Experience with Databricks.

• Experience implementing data quality frameworks, validation processes, and testing methodologies for data pipelines.

• Familiarity with automated testing approaches and integration within CI/CD environments.

• Experience with issue tracking and test management tools such as JIRA or equivalent platforms.

• Familiarity with CI/CD pipelines and DevOps practices.

• Experience using DevOps tools such as Docker, Git, and Terraform.

• Experience implementing solutions that support data security, data quality, and data governance requirements.

Preferred Experience

• Familiarity with government-sector data management, governance, infrastructure, and security frameworks.

• Experience in climate, weather, environmental, or geospatial data domains will be advantageous.

Additional Information

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

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

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.

Deals with clients,designers, consultants and contractors, supervies and implements projects fromstart to the completion and handover.

- Perform preventive andcurative Electrical and instrument maintenance.

- Project planning &coordination including preparation of drawing and explain to team.

- Procurement andscheduling of electrical works.

- Settle issues onsystems after handover during the defects and liabilities period.

Supervisesduring the construction stage from start to the completion and handover of theproject.

-Minimum Degree in Engineering or similar field its equivalent.

-Good interpersonal skills and pro-active in problem solving.

-Proficient in Microsoft office - Word, Excel & Powerpoint.

Knowledgein other design related software such as Autocad and Autocad 3Dmax.

-Can work under pressure and team player.

-Able to work long hours due to project urgency if needed.

- Qualityfocused and ability to meet deadlines in fast-paced project environment.

-Ad-hoc duties