Total 5,065 job vacancies in Singapore

5 days, 8.30am-6.15pm

Salary: $3500- $6000

Location: Ubi 

Company background:

Specializes in Semiconductor Backend Tooling including Die Attach Tools, Wire Bond Tools & Bond Test Tools

Job Responsibilities:

• Design and development of Semiconductor Tools and mechanical systems.
• Planning, Scheduling and Costing of Tools and Mechanical Modules
• Responsible for 3D & 2D drawings, tolerance analysis, BOM preparation.
• Working closely with Electrical, Vision and Software Engineers.
• Willing to work extended hours in critical phases of project execution.

Job Requirements:

• Diploma or Degree in Mechanical Engineering or related Technical disciplines.
• Minimum 3 years of design experiences in semiconductor tooling
• Experience with Design and Development of High-Speed Pick and Place Systems, Flip Chip Bonders, Die Attach Machines, and Lamination Machine is a definite plus
• Proficiency with CAD Software is a must.
• Experience with vision application, thermal modelling, calculation and measurement techniques would be an advantage.

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. 

Job description

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Additional job description

As a Practice Customer Engineer (CE) with a specialty in AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas in partnership with platform CEs, writing code, developing prototypes, proofs-of-concept, and demos to promote new specialized solutions to customers. You will solve AI-centered customer issues and provide a critical feedback loop to influence product development. You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales skills, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.

Qualifications

Job responsibilities

• Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp.
• Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-to-Market team.
• Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.
• Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.

Minimum qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like RAG, Text-to-SQL, and semantic search.
• Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.
• Ability to communicate in Thai fluently to engage and support Thai speaking customers to navigate industry standards.

Preferred qualifications

• Experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).
• Experience with cloud technologies including SaaS applications, iPaaS, business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) gateways.
• Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.

The Edge & Network Services (ENS) team at Meta is looking for individuals ready to tackle the challenges and opportunities we face as we contribute to our mission of connecting the world. This global team offers a unique career opportunity to work alongside engineers solving complex problems using cutting-edge network infrastructure technologies. For this role, we are looking for a Network Infrastructure Design Engineer with demonstrated experience in developing and delivering network infrastructure solutions at scale in a data center or globally distributed Point of Presences (POPs).

Are you ready to shape the future of Meta's global network reach? As a member of the ENS Foundation Design team, you will support capacity expansion of Meta’s global Edge/Backbone network and compute presence. You will work closely with cross-functional design, planning, and deployment teams to develop space, power, cooling, and connectivity infrastructure design requirements and drive execution of these needs within Meta’s global colocation spaces including POPs, Cable Landing Stations, and Backbone midpoint sites. This role is execution and delivery focused supporting the APAC region.

Join us in this exciting endeavor and make a real impact on Meta's future!

Responsibilities

• Designs, reviews, and optimizes ICT (Information and Communications Technology) physical infrastructure including structured cabling, floor rack layouts, network hardware, and integrated communications systems for large-scale network deployments
• Develops and enforces Meta ICT design standards, best practices, and compliance with relevant industry standards (e.g., TIA/EIA, ISO/IEC, BICSI)
• Develops optimized layouts of edge/backbone midpoint site floorplans, allocates space assigned to network functions, optical, backbone, IP, and compute
• Delivers on time Engineering Design Packages related site infrastructure scope for sourcing and capacity planning teams
• Manages global space, power, cooling, structured cabling, and other inside plant infrastructure delivery requirements to support Meta edge/backbone network deployments across owned and colocation facilities
• Engages in system level facility sizing of utilities, switchgear, UPS/DC power plant, PDUs, mechanical cooling, and Low Voltage power distribution
• Proactively engages with various data center colocation providers in evaluating their facilities and recommends corrective actions to meet Meta standard design requirements
• Collaborates with internal and external design and planning engineers to execute projects related to cage and suite network/compute infrastructure build-outs
• Leads weekly syncs with external colocation vendors and provides technical support and progress reporting on cage and suite build-outs and acceptance
• Manages and tracks project timelines, risks, and successfully navigate projects to on-time completion
• Leads site acceptance activities with various colocation providers as per Edge network facility acceptance standards
• Coordinates multiple projects in parallel and efficiently executes work through vendors at scale
• Collaborates closely with Meta business and technical teams to provide input on space/power delivery and associated deployment projects, as well as other major initiatives that may affect capacity delivery
• Updates Meta’s internal tooling and data record keeping in support of edge/backbone midpoint cage and suite build-outs
• Coordinates related Owner Furnished/Contractor Installed equipment delivery from Meta’s inventory to colocation facilities
• Proactively works and aligns with network planning and investment teams on the roadmap and material forecasting needs for on-time delivery of projects
• Applies lessons learned from projects to support continuous improvement initiatives
• 20% to 30% travel required based on project demand

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 7+ years of work experience with designing and constructing large scale data center or similar mission critical infrastructure including specifying suite level space, power, cooling, and structured cabling connectivity requirements for network and compute hardware
• Demonstrated experience in project management, including planning, execution, and delivery of complex technical projects
• Working knowledge of interpreting and analyzing electrical/mechanical single line diagrams
• Working knowledge of various regional data center electrical and cooling configurations, IEC, NEMA standards, AC/DC power concepts, power redundancy scenarios
• General knowledge of fiber optic components, structured cabling, pathways, and interconnect products, technologies, and design concepts
• Demonstrated understanding of engineering principles related to infrastructure architecture, including space line up, air flow, cooling, etc
• General knowledge of data center, colocation, and isolated hut environments, including engineering principles related to power and infrastructure
• Demonstrated experience with field-based work in POPs, data centers, Carrier-neutral facilities, or telecom exchanges
• Experience with communication and directing tasks with carriers and colocation vendors
• Demonstrate experience to work effectively in an ambiguous environment
• Collaborate with global teams to drive business results. Must possess proven planning, prioritization, and communication skills, with the experience to manage multiple tasks and adapt to changing business needs
• Proven skill to analyze technical situations, troubleshoot issues, and solve problems with limited supervision
• Working knowledge of internet networking technologies (TCP/UDP, DHCP, DNS, routing, switching concepts), optical transport technologies (DWDM and Optical transceivers), and network redundancy and failover concepts
• Working knowledge of Revit/AutoCAD/Bluebeam/BIM360/ACC/Procore etc

Preferred Qualifications

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Proficient in Revit/AutoCAD/Bluebeam/BIM360/ACC/Procore etc
• Thorough knowledge of optical theory, transport technologies, and the operation of optical transport systems and IP backbone network technologies
• Experience with optical network design, installation, and maintenance for service providers or global enterprise networks
• Experience with ICT design and construction administration for hyperscale data centers and global backbone network capacity enablement projects
• Data center design or relevant structured cabling design certifications (eg. BICSI RCDD)
• Registered Professional Engineering (PE) licensure in Electrical or Mechanical disciplines
• Advanced degree in engineering discipline
• Familiarity with the Linux based systems and experience with scripting and automation (Bash, Python, Perl)
• Experience integrating AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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

.Requirements

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

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

Must-Have Requirements

• 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.

Licence no: 12C6060

Sales Region: 50% Singapore and 50% Asean (Malaysia, Indonesia and Philippines)

• New customers creation. To identifying potential customers with planning and organizing sales call schedule by cold calls or given sales leads. Candidate is also required to maintain and servicing of existing customers. Address sales and engineering support goals, contributing to weekly, monthly and annual sales report, analysing expenses, identifying inconsistencies and troubleshooting issues.
• Prepare and making of product presentation, provide product application support, demonstrate or performing of Installation on the appropriate sales engineering equipment according toorders, specificities and preferences.

• Communicate with Principals (Suppliers) and Sales team together to drive for achieving sales goal. Selected candidate will be receiving product training, which may include product information, product application, maintenance, service support or deal with system breakdowns that occurred.

• Achieve related duties and responsibilities as necessary to support, organize and monitor the success of the sales engineering department and productivity. Serve customers by identifying their needs and engineering adaptations of products, equipment, andservices.

• Identifies current and future customer requirements by establishing personal rapport with potential and actual customers and others in a position to understand their different need of product or service requirements. Prepare cost estimates by studying all related customer documents, consulting with engineers and other professional personnel.

• Determines improvements by analysing cost-benefit ratios of equipment, supplies, or service applications in customer environment and engineering or proposing changes in equipment, processes, or use of materials or services. Gains customer acceptance by explaining or demonstrating cost reductions and operations improvements. Develops customer’s staff by providing technical information and training.

• Complies with local legal requirements by studying existing and new legislation and anticipating future legislation. Prepares sales engineering reports by collecting, analysing, and summarizing sales information and engineering and application trends.

• Contributes to sales engineering effectiveness by identifying short-term and long-range issues that must be addressed, recommending options and courses of action, and implementingdirectives. Contributes to team effort by accomplishing related results as needed.

Requirement:

• Minimum Diploma/Degree in Electronics/Photonics Engineering or related engineering field.
• 2 years of experience in sales industry preferred. Those without experience are welcome to apply as training will be provided

• New customer development. Ready to make cold calls. Presentation & Communication skills. Technical understanding.

• Requirements analysis & innovation. Familiar with Microsoft Office software.

Others:

• Date of Commencement: ASAP or short notice  

• Transport Allowance: SGD$80 per month

• Variable Bonus: Yes (Twice a year, May & Dec)

• Working Hours: 830am to 530pm (Mon - Fri)

• Annual Leave: 10 days (+ 1 day per year, max 16 days)

Jessica Nguyen Huynh Thanh Truc

CEI Reg. No. R23113787

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. 

Job description

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Additional job description

As a Practice Customer Engineer (CE) with a specialty in AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas in partnership with Platform CEs, writing code, developing prototypes, proofs-of-concept, and demos to promote new specialized solutions to customers. You will solve AI-centered customer issues and provide a critical feedback loop to influence product development. You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will blend business skills, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.

Qualifications

Job responsibilities

• Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp.
• Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
• Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.
• Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.

Minimum qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like Retrieval-Augmented Generation (RAG), Text-to-SQL, and semantic search.
• Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.

Preferred qualifications

• Experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Experience with cloud technologies including SaaS applications, iPaaS, business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking.
• Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) Gateways.
• Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.

Job Description

We are looking for Senior/Staff Software Engineers to grow our 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/

This position works in a smaller team that specifies, develops and delivers the toolchain that allows our customers and partners to develop or port AI models to run optimally on our Neural Processing Units.

Responsibilities

• Specify and develop new toolchain features for existing and new NPU architectures, working with the inference engine sub-team
• Enhance, maintain and support existing toolchain features, and modify model network layers for NPU optimality, working with the application engineering teams and sometimes customers/partners.
• Constantly improve productivity through automation in all areas

Skills

• Strong Python class based product development skills based on knowledge of design patterns
• Strong understanding of all aspects of a compiler and related development and debugging technologies, code generation, program analysis, and pipeline optimizations
• Good communication, collaboration, task estimation & reporting, CI/CD via tools such as Confluence, Git, JIRA etc.

Familiarity with the following is a plus:

• Deep Learning compilers like TVM
• Deep Learning framework - PyTorch
• Eclipse development for toolchain frontend
• CPU/DSP/GPU/NPU architectures

Requirements

1. Ph.D./MS/BS in Computer Science or Computer Engineering
2. At least 5 years of commercial development experience of which at least 3 are in compiler-related areas

Job Title: Microsoft Purview DLP Security Analyst / M365 DLP Support Engineer

Employment Period: August/September 2026 to March 2027, with possible yearly renewal
Location: 1 Fusionopolis Way
Working Hours: Monday to Friday, 8:30am to 6:00pm
Engagement Type: Contract / Renewable Term

Role Overview
We are seeking a Microsoft Purview DLP Security Analyst / M365 DLP Support Engineer to support Data Loss Prevention alert monitoring, incident handling, investigation, reporting, user support, and policy improvement activities.

The successful candidate will work closely with security operations, service desk, data owners, business users, compliance teams, and Microsoft Purview SMEs to ensure DLP alerts are properly monitored, investigated, classified, documented, escalated, and improved through continuous policy tuning.

Key Responsibilities

DLP Alert Monitoring & Incident Handling
Monitor DLP alerts from Microsoft Purview DLP Dashboard, Microsoft Defender XDR, email notifications, service desk tickets, and related alerting channels.

Log, track, triage, and classify DLP alerts, including initial investigation of true positives and false positives.

Perform first-level analysis and escalate high-risk or complex incidents to L2 security operations, L3 Purview SMEs, architects, compliance, legal, or other relevant stakeholders where required.

Investigation & Analysis
Perform detailed analysis of DLP incidents to identify root causes, including user behaviour, policy gaps, data misclassification, or process issues.

Validate and document false positives clearly to support policy improvement and operational reporting.

Support forensic analysis and evidence gathering for high-risk DLP incidents where required.

Escalation & Stakeholder Coordination
Coordinate with SOC teams, service desk, business units, data owners, compliance, legal, and IT stakeholders to ensure DLP incidents are handled appropriately and within expected timelines.

Communicate DLP-related issues clearly to both technical and non-technical users.

Policy Tuning & Change Management
Work with L3 SMEs and architects to recommend improvements to DLP policies based on repeated alerts, user feedback, threat trends, false positive patterns, and post-incident findings.

Support DLP change management activities arising from new regulatory requirements, new workloads such as Teams, Copilot or SaaS applications, and post-incident improvements.

Provide practical recommendations to improve DLP policy effectiveness and reduce unnecessary business disruption.

User Support & Awareness
Respond to user-reported DLP issues, including blocked activities, policy alerts, and suspected false positives.

Provide guidance to users on compliant data handling and proper use of sensitive information.

Support communication and awareness activities related to DLP policy enforcement.

Monitor and ensure the AI agent is running and responding correctly where applicable.

Reporting & Continuous Improvement
Prepare periodic DLP reports covering alert volumes, top users triggering policies, false positive rates, policy effectiveness trends, recurring issues, and recommended improvements.

Maintain proper documentation of investigations, findings, escalations, and closure actions.

Technical Skills Required
Strong hands-on knowledge of Microsoft Purview DLP is mandatory.

Experience in Microsoft Purview policy configuration, troubleshooting, alert review, and operational support.

Good understanding of DLP across Endpoint, Exchange, SharePoint, Teams, and Microsoft 365 workloads.

Knowledge of Microsoft Defender XDR, Microsoft 365 Compliance Portal, Microsoft Entra, sensitivity labels, data classification, and information protection.

Microsoft Intune experience will be an added advantage.

Operational & SOC Skills
Experience in incident triage, investigation, security alert analysis, ticket handling, true/false positive determination, and basic log analysis.

Experience with ticketing tools such as ServiceNow or similar platforms.

Ability to work with SOC, service desk, compliance, legal, and business stakeholders.

Data Security & Compliance Knowledge
Good understanding of data protection, data classification, data exfiltration risks, insider risk awareness, and DLP control concepts.

Knowledge of Singapore PDPA and data protection practices will be advantageous.

Soft Skills
Strong communication skills with business users and technical stakeholders.

Ability to explain DLP blocks, alerts, and policy enforcement in a professional and user-friendly manner.

Strong analytical thinking, root-cause analysis, documentation, and coordination skills.

Able to work independently while escalating appropriately when needed.

Experience Requirement
3 to 5 years of experience in Microsoft 365, Microsoft Purview, DLP, security operations, end-user support, or L2 support.

Hands-on experience supporting Microsoft Purview DLP in an enterprise environment is strongly preferred.

Preferred Certifications
Microsoft SC-400: Information Protection Administrator
Microsoft SC-200: Security Operations Analyst
Microsoft MS-102: Microsoft 365 Administrator
Microsoft SC-300: Identity and Access Administrator

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society.

SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems /across sectors. Focus areas for applied AI include domains such as:

o Advanced Manufacturing & Semiconductors

o Urban Systems

o AI-Augmented Engineering

o AI Safety & Security

o Chemical Engineering & Biotechnology

o Hospitality and Tourism

o Healthcare

o Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism.

SIT’s Innovation-as-a-Service (IaaS) is an open-innovation platform designed to connect industry players, particularly start-ups and SMEs, with the research and technological capabilities of the Singapore Institute of Technology (SIT), local polytechnics, other IHLS and overseas university partners.

IaaS Centre of Digital Innovation focusses on assisting company’s to digitalize their operations or prod/ucts and implementing AI solutions using ready AI tools to ensure a fast implementation to market.

Key Responsibilities

· Work closely with centre head, Principal Investigator (PI) and internal/external stakeholders (including other IHLs) to support or drive applied research, and innovation initiatives outcomes.

· Outcomes include impact or revenue of industry partners

· Understand industry partners requirements and help create proposals to them.

· Work with the team to create IP (Intellectual Property) from internal grants to target multiple adopters

Job Requirements:

· Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application.

· Strong technical expertise in one or more of the following areas:

o Computer Vision and Image Processing

o Machine Learning, Deep Learning, and Reinforcement Learning

o Large Language Models (LLMs) and Multimodal Models

o Generative AI, Agentic AI, Physical AI, and Embodied AI

o Trustworthy AI, including explainability, auditability, and privacy

o Edge AI and model optimisation

o Physics-informed neural networks (PINNs) and surrogate modelling

o Time-series modelling and anomaly detection

o Bayesian methods and uncertainty quantification

o Graph Neural Networks (GNNs)

o Spatiotemporal data engineering

o Digital twins and simulation

o Demonstrated Applied AI for Healthcare and clinical practice

o Industry 4.0 and/or Industry 5.0 (added advantage)

· Experience applying AI to one or more of SIT’s focus areas: Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism.

· Deep technical specialist with 8 or more years of working experience as a Machine Learning Engineer or similar role, with good knowledge of industry practices and technological applications in the field for the senior positions. 1 - 3 years experience will suffice for research engineers. Applicants with skills in Video Analytics, NLP (Natural Language Processing) or any of the following would be preferred: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit- Learn, CNTK. Also Big data technologies such as Apache Hadoop and spark, Devops/MLops.

· Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms.

· Keen interest to support research and academic project work, with demonstrated ability in developing software solutions to technical problems.

· Demonstrate proficiency to keep abreast of developments in the field and pursue professional certification programs. Possession of industrial certifications in relevant areas will be an added advantage.

Key Competencies

· Self-motivated and can work independently or in a team.

· Enjoy both analytical and hands-on work to solve problems.

· Able to build and maintain good working relationships with people within and external to the university.

· Flexibility to work across functions/teams as part of a team in a dynamic environment.

· Self-directed learner who believes in continuous learning and development

· Proficient in technical writing and presentation

· Possess good analytical and critical thinking skills

· Shows good initiative and takes ownership of work undertaken

· Proactive, resourceful, and able to take ownership of assigned responsibilities

Job Purpose

The Research Fellow / Research Engineer (with focus on MedTech / HealthTech Engineering) will support applied research and innovation in community and allied health by translating clinical and operational needs into engineering requirements, prototypes, technical evaluations, deployment support and evidence reports. The role focuses on hands-on medtech / healthtech engineering, project coordination and implementation support for healthcare projects.

This role is focused on MedTech / HealthTech Engineering. The candidate should have good project-management discipline and experience coordinating engineering, prototyping, testing or implementation workstreams with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through practical engineering and deployment outputs.

Key Responsibilities

Applied Research & Development

• Translate clinical needs assessment and workflow analysis into engineering requirements for organisational innovation transition, focusing on but not limited to community and aged care settings, nursing homes, hospitals, home-based care and palliative care settings.
• Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps for organisational transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, care automation and assistive technologies.
• Develop and execute healthcare innovation projects by supporting design, prototyping, testing, technical evaluation, data collection and implementation for Proof of Concept (POC) and deployment in community-care or healthcare settings.

Industry Collaboration

• Support collaborations with industry and healthcare partners to understand technical problem statements, user requirements, operating constraints and integration needs, and contribute to practical engineering solution development.
• Assist in project scoping by gathering engineering, technical, integration and validation inputs, and by identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners).
• Participate in industry meetings, discussions, and project engagements.

Project Execution & Support

• Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned medtech / healthtech engineering workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment.
• Generate technical reports, presentations, design notes, prototype records, test plans, validation summaries, deployment trackers and evidence documentation on the development, validation, deployment and value capture of healthcare solutions and applications.
• Contribute to grant proposals and project submissions where required.
• Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects.
• Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned engineering, technical documentation and project support tasks.
• Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation.
• Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation.
• Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals.
• Role-specific skill focus — MedTech / HealthTech Engineering: translate user and clinical needs into engineering requirements; support design, prototyping, testing, validation, integration and deployment; prepare technical documentation and evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate engineering findings into practical recommendations for Professional Officers, faculty, project leads and healthcare partners.

Job Requirements

• Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic Engineering, Computer Engineering, HealthTech, MedTech, Product Development, Clinical Engineering or related disciplines with relevant experience in engineering, prototyping, product development or healthcare innovation related work.
• Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings.
• Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous.
• Possess understanding of healthcare innovation concepts (e.g., medtech / healthtech development, prototyping, care automation, commercialisation, health economics and value capture).
• Strong analytical skills and attention to detail. Excellent written and verbal communication skills.
• Resourceful, meticulous and problem-solving attitude.
• Experience supporting or coordinating industry or applied research projects, preferably involving medtech / healthtech engineering, biomedical devices, assistive technologies, digital health, care automation, clinical workflow optimisation or healthcare innovation solutions.
• Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work.
• Experience supporting project proposals, funded projects or partner engagements will be advantageous.
• For this MedTech / HealthTech Engineering role, relevant experience in engineering design, prototyping, testing, technical validation, product development, system integration, biomedical devices, assistive technologies, sensors, digital health solutions or equivalent engineering methods is required.
• All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation.

Key Competencies

• Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors.
• Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders.
• Ability to work collaboratively in a cross-functional and multidisciplinary environment.
• Proactive approach to continuous learning and development in the healthcare innovation field.
• Proficient in technical writing and presentation.
• Possess good analytical and critical thinking skills.
• Shows good initiative and takes ownership of work undertaken.
• Project management skills, including planning and execution of medtech / healthtech engineering and implementation projects.
• Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets.
• Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model.
• Capability in medtech / healthtech engineering, including requirements translation, prototyping, testing, validation, integration, technical troubleshooting and preparation of concise reports.
• Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation.
• Ability to work as part of a coordinated delivery team, with clear documentation of assigned engineering outputs, validation evidence and project outcomes toward the overall KPI commitments.

This role offers the opportunity to work on complex, high-value projects while developing deep expertise in electrical systems and engineering leadership.

Job Description

We are seeking a Senior Electrical Engineer to lead and support the design, coordination, and execution of Low Voltage (LT), Switchgear and High Voltage (HV) systems for construction and infrastructure projects.

The role ensures all engineering works are delivered in accordance with project specifications, regulatory requirements and company standards.

Key Responsibilities

• Lead design review and implementation of LT/HV electrical systems and switchgear
• Review Single Line Diagrams (SLD), load calculations and protection coordination
• Coordinate with clients, consultants, subcontractors and internal stakeholders
• Oversee installation, testing and commissioning activities
• Ensure compliance with Singapore standards (EMA, SS, IEC) and project requirements
• Support technical evaluation of equipment, vendors and subcontractors
• Mentor junior engineers and support capability development

Requirements

• Degree in Electrical Engineering or equivalent
• Minimum 6–10 years of relevant experience in M&E / construction projects
• Strong hands-on experience in LT, HV systems and switchgear
• Familiar with testing and commissioning processes
• Able to work independently and as part of a project team

Preferred Qualifications

• Licensed Electrical Worker (LEW) or Professional Engineer (PE) certification
• Experience in infrastructure / MRT / LTA projects
• Familiarity with AutoCAD, BIM or electrical analysis tools (e.g. ETAP)

Job Description

• Assist in the installation, commissioning,maintenance, and testing of equipment.
• Prepare and compile field service reports afterequipment servicing.
• Provide technical and engineering support forproducts, services, and equipment by responding to customer inquiries andrequests.

• Coordinate job arrangements and work schedules.
• Maintain and update product databases andrelated documentation.
• Continuously maintain and improve professionaland technical knowledge.

Job Requirements

• Diploma in Electrical & Electronic Engineering or higher.
• Basic knowledge of 3-phase electrical connections.
• Strong interpersonal and communication skills.
• Good analytical and problem-solving abilities.
• Possess a valid Class 3 driving licence.

Additional Notes:

• Opportunities for overseas training and assignments.
• On-the-job and safety training will be provided.

About Doodle Labs

Doodle Labs is a fast-growing technology company building high-performance wireless communications for the drone and unmanned systems ecosystem. Our technology enables reliable, high-bandwidth connectivity across airborne and mobile robotic platforms operating in complex environments.

We partner directly with leading drone OEMs, robotics companies, and defense organizations to deliver advanced networking solutions that power the next generation of autonomous systems. Our mission is to make connectivity for autonomous machines as reliable and ubiquitous as the internet itself.

Recognized by Fast Company as one of the Most Innovative Companies, Doodle Labs is growing quickly and scaling deployments with leading robotics companies, defense program offices, and breakthrough autonomy labs.

Joining Doodle Labs means joining a team building the communication backbone for the autonomous world.

About the Role

The Solutions Engineer is responsible for supporting customer deployment success across unmanned systems and wireless networking integrations and will play a key role in enabling customers to successfully deploy Doodle Labs radios in real-world autonomous systems.

In this role, you will work closely with robotics engineers, autonomy teams, field operators, firmware engineers, and customer program teams to integrate, validate, troubleshoot, and optimize wireless networking solutions across drones, UGVs, USVs, and other robotic platforms. This position will help shape customer deployment success, technical validation workflows, and field-driven product improvements as Doodle Labs continues to scale.

This is an opportunity to directly impact the future of autonomous systems by helping customers deploy robotics platforms that operate reliably in mission-critical environments.

What You’ll Do

• Become a technical expert in Doodle Labs radios, firmware, configuration tools, and deployment architectures

•Support customer integrations, platform testing, field evaluations, and troubleshooting efforts across APAC

•Test newly developed hardware and software against customer use cases including connected teams, UAVs, and unmanned systems

•Develop repeatable validation workflows for firmware updates, new features, and customer deployment scenarios

•Analyze wireless link performance, networking behavior, throughput, interference, mobility, and routing under real-world conditions

•Build and maintain software utilities, scripts, and troubleshooting tools that help customers configure and integrate radios

•Recreate customer deployment conditions in lab environments to validate configurations and replicate issues

•Maintain and improve customer-facing technical documentation including technical library articles, datasheets, configuration guides, and user documentation

•Collaborate cross-functionally with engineering and firmware teams to provide structured product feedback based on customer field experience

•Deliver technical reports summarizing findings, deployment recommendations, risks, and known issues

•Become a trusted technical advisor for high-value customers and support teams during mission-critical deployments and evaluations

What Success Looks Like

• Become a go-to technical expert on Doodle Labs radio systems, networking behavior, and deployment architectures within the first 3 months

• Successful customer platform integrations and field evaluations across unmanned systems deployments

• Improved product reliability through repeatable validation frameworks and structured testing workflows

• High-quality technical documentation and deployment guidance that reduce customer integration friction

• Effective collaboration with engineering and firmware teams to improve usability, configurability, and deployment tooling

• Measurable improvements in customer deployment success, troubleshooting efficiency, and field performance validation

Who You Are

• 3+ years of experience working with wireless communications, RF networking, embedded systems, or robotic platform integration

•Excited by autonomy, robotics, and defense missions that have real-world impact

•Strong understanding of networking fundamentals including TCP/IP, routing, switching, and troubleshooting

•Comfortable working in Linux environments and administering embedded or networking systems

•Knowledgeable in wireless fundamentals including RF propagation, antennas, link budgets, and Wi-Fi systems

•Experience building software utilities, scripts, or automation tools to support technical workflows

•Skilled at diagnosing complex system interactions across RF, networking, compute, and control systems

•Comfortable working directly with customers in collaborative, high-pressure field environments

•Excellent communication skills with the ability to translate technical complexity into actionable guidance

•Curious, self-driven, and motivated by solving difficult real-world engineering problems

•Ability to work cross-functionally with both technical and non-technical stakeholders in a fast-paced environment

Preferred Qualifications

• Experience working with drones, robotics, autonomy systems, or defense technologies

• Experience supporting field deployments, flight testing, or robotic platform integration

• Familiarity with wireless mesh networking and unmanned system communications architectures

• Experience developing customer-facing technical documentation and eployment guides

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Robotics, or a related technical field

Why Join Doodle Labs

• Work on cutting-edge technology powering the future of autonomous systems

• Collaborate with engineers and innovators building industry-leading connectivity solutions

• Ensure soldiers, operators, and robotics teams have safer and more reliable autonomous capabilities

• Influence the design and performance of wireless systems operating in mission-critical environments

• Make a meaningful impact in a fast-growing company shaping the next generation of robotics and wireless networking

• Join a high-ownership, high-trust engineering culture where your work is visible and meaningful

Compensation & Benefits

Doodle Labs offers competitive compensation and a comprehensive benefits package built for people doing serious work.

• Compensation: Competitive base salary, individual and company performance bonuses, and equity

• Health & Wellness: Medical coverage, plus sponsored gym memberships

• Retirement: CPF contributions per Singapore statutory requirements

• Professional Development: Access to courses, certifications, and conferences

• Time Off: Paid time off, Singapore public holidays observed, plus a company-wide holiday shutdown from Christmas through New Year’s

• Relocation Assistance: Available depending on role eligibility

For a full breakdown of benefits, visit our benefits page.

Travel Expectations

This role may require occasional travel within the APAC region for customer meetings, field testing, integration support, deployment evaluations, and on-site troubleshooting.

Responsibilities:

• Assist the Project Manager on PUB pipeline rehabilitation project planning, execution and monitoring
• Liaise with team members, consultants, clients and other stakeholders on site activities
• Supervision of subcontractors, suppliers and site staff
• Attend project meetings, audits and joint inspections
• Assist project reports preparation, submission and documentation
• Assist implementation, compliance and auditing of company Workplace Safety and Health System and ISO standards.
• Candidate will be exposed to multiple roles within the project as part of their structured training.

Requirement:

• Minimum 0 - 2 years experience in building and construction or related field
• Computing Skill - Proficient in Microsoft Office, Knowledge of CAD software, Autocad/Microstation
• Bachelor's Degree in Civil Engineering
• Fresh graduate welcome to apply
• Possess positive working attitude

Key Responsibilities

Integration & Workflow Engineering

• Analyse and re-platform existing workflow-based integrations from one platform to another while maintaining functional parity.
• Implement orchestration logic including triggers, conditional routing, retries, exception handling, and state management.
• Design and implement automation patterns to handle platform limitations (e.g., looping, batching, pagination, throttling).
• Ensure workflows are idempotent, fault tolerant.
• Support environment-based deployments (DEV / UAT / PROD) with configuration-driven designs.

Data Engineering & ETL

• Design and build ETL pipelines for ingesting flat files (e.g., CSV) into relational databases.
• Handle schema validation, basic schema evolution, data quality checks, and error reconciliation.
• Optimize data ingestion for performance, scalability, and reliability.
• Collaborate with application teams to understand upstream and downstream data dependencies.

Cloud & Big Data Platform Contributions

• Build and maintain data pipelines on cloud-based big data platforms using distributed processing frameworks.
• Contribute to Lakehouse-style data storage that supports both batch and streaming data.
• Work with modern table formats that support incremental processing, versioning, and historical queries.
• Support use cases such as append-heavy datasets, high-write event data, and analytical queries.

Operations, Quality & Observability

• Implement logging, monitoring, and alerting for workflows and data pipelines.
• Support operational readiness including runbooks, deployment procedures, and rollback strategies.
• Participate in root-cause analysis and continuous improvement of data pipelines.
• Ensure adherence to data governance, security, and compliance standards.

Required Skills & Experience

Technical Skills

• Strong experience with workflow orchestration / integration platforms.
• Solid understanding of ETL concepts and hands-on experience with file-based ingestion.
• Proficient in SQL and working knowledge of relational databases (e.g., SQL Server or equivalent).
• Experience with distributed data processing frameworks (e.g., Spark).
• Familiarity with streaming and batch data processing concepts.
• Practical experience with cloud platforms and managed data services.
• Understanding of CI/CD principles for data and integration workflows.

Programming & Automation

• Experience with scripting or programming languages commonly used in data engineering (e.g., Python).
• Ability to build reusable utilities for batching, retries, pagination, and error handling.
• Experience with REST APIs and structured data formats (JSON, CSV).

Desired (Good to Have)

• Exposure to modern Lakehouse table formats supporting incremental processing and time travel.
• Experience with stream processing engines (e.g., Flink or Spark Streaming).
• Familiarity with query engines used for analytical access.
• Experience working in regulated environments (banking, financial services, or manufacturing).
• Knowledge of data observability and quality frameworks.

Experience Level

• Typically, 3–5 years of relevant experience in data engineering, integration engineering, or similar roles.
• Proven ability to work independently on moderately complex problems while collaborating within a larger team.

Soft Skills & Competencies

• Strong analytical and problem-solving skills.
• Ability to understand existing systems and translate requirements into working solutions.
• Clear communication with technical and non-technical stakeholders.
• Detail-oriented with a focus on reliability and maintainability.
• Comfortable working across multiple teams and applications.

Job Description:

The Planning Engineer is responsible for preparing, monitoring, and updating project schedules, progress reports, and forecasts to ensure projects are delivered on time, within budget, and in compliance with contract requirements.

Job Scope:

• Develop, monitor, and update project schedules using planning software (e.g., Primavera).
• Coordinate with project managers, engineers, procurement, and site teams to gather relevant data for planning and progress tracking.
• Prepare progress reports, manpower histograms, resource allocation charts, and project status presentations.
• Identify potential delays or risks and propose mitigation strategies.
• Ensure project timelines are aligned with contractual milestones and client requirements.
• Assist in preparing extension-of-time (EOT) claims, delay analysis, and recovery schedules if required.
• Monitor procurement, subcontractor schedules, and interface activities.
• Support management with forecasting, cash flow projections, and performance reviews.
• Maintain proper documentation of schedule updates, baselines, and revisions.

Job Requirements:

• Bachelor’s Degree in Civil Engineering recognised by the Professional Engineers Board or BCA.
• Minimum 3 years of experience as a Planning Engineer in Construction.
• Proficiency in project planning software (Primavera).
• Strong knowledge of project management principles, scheduling techniques, and resource planning.
• Good analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Familiar with Singapore Codes and Practices

Job Responsibility

1. Product Development & Transition

• Serve as the main point of contact between design and manufacturing teams during the product development lifecycle.
• Review product designs to ensure manufacturability (DFM) and compliance with industry standards.
• Develop and oversee pilot production runs to validate production processes and workflows.

2. Process Development & Optimization

• Establish robust manufacturing processes for new products, ensuring scalability and efficiency.
• Identify potential production issues and provide engineering solutions to mitigate risks.
• Work with suppliers and vendors to ensure quality and timely delivery of materials.

3. Project Management

• Develop and manage project plans for NPI activities, including schedules, budgets, and resource allocation.
• Monitor progress against key milestones and provide regular updates to stakeholders.
• Coordinate cross-functional teams to address challenges and meet project objectives.

4. Quality Assurance

• Collaborate with the Quality team to define inspection criteria and ensure new products meet quality standards.
• Conduct root cause analysis for non-conformance issues during pilot and initial production runs.
• Support the creation of process documentation, such as standard operating procedures (SOPs) and work instructions.

5. Continuous Improvement

• Drive initiatives to improve product design and manufacturing efficiency.
• Implement lessons learned from previous NPIs to refine future processes.
• Evaluate and adopt new technologies to enhance production capabilities.

Job Requirement

• Bachelor’s/Master’s degree in Mechanical Engineering, Precision Engineering, or a related field.
• Strong understanding of machining processes (CNC machining, turning, milling, etc.).
• Expertise in jig and fixture design using CAD software.
• Strong knowledge of manufacturing processes, including machining, assembly, and automation.
• Strong leadership and team management capabilities.
• Excellent problem-solving and decision-making skills.
• Effective communication and coordination with diverse teams.
• Familiarity with process validation tools(FMEA, control plans, statistical analysis).
• CAD /CAM /Design Knowledge Essential.
  Solidworks knowledge will be advantage
• Ability to work independently and as part of a team.
• Problem-solving and analytical skills.
• Office software skill Excel & Power Point etc.
• Strong knowledge of safety regulations and best practices.

We are looking for System Engineers to join the team! They will be responsible for supporting the system team in all aspects of the development, testing and implementation of in-house integrated solutions. Project phases involved include design reviews, lab setup, factory acceptance test, installation, checkout, integration and on-site acceptance test, training and documentation.

Support System Lead in system design, system documentation, development and project delivery

Formulate / revise specifications for purchase of IT equipment (e.g. servers, switches) and software, ensure successful and timely delivery by contractor

Plan, manage and perform system equipment installation

Perform system OS and software installation, configuration

Perform OS hardening according to security guidelines

Plan and conduct system acceptance tests with customer, prepare acceptance test reports

Support integration testing

Provide support during project phase and system warranty period

Prepare operator manuals and assist in conduct of user training

Possess Diploma/ Degree in Civil/ Construction Technology

Supervise building construction works

Familiar with steel structure fabrication and erection

Familiar with construction site WSH rules and regulation

Able to communicate simple english

Possess Building Construction Supervisor Safety (BCSS) certificate is an advantage

Class 3 driving license will be an added advantage

Work at height supervisor (WAH) certificate preferred

Scissors lift/ boom lift certificate an advantage

Job Description & Requirements

Control and monitor work progress and ensure work quality.

· Responsible for working closely with project teamand resolving technical issue

· Responsible for coordination and liaise withcontractors, suppliers, and consultants

· Prepare and compile related report

· Attend site meetings

· Any other ad-hoc duties assigned

Requirements:

· Engineering or Civil / Structural EngineeringDiploma / Equivalent

· Minimum 5 years’ relevant experience

· Carry out project planning, scheduling, costcontrol

YOUR ROLE 

STMicroelectronics TnF RnD Organisation is seeking to employ an ESD Engineer based in Singapore. The selected candidate will assist and report to the Senior Staff ESD Specialist based in Malta. 

• Lead R&D activities on ESD and electrostatic charge control, including: investigating control strategies to reduce micro contamination and foreign matter on devices; designing and executing DOEs across multiple tools with installed sensors for data acquisition; analysing results to define optimal process parameters; and deploying sensor based monitoring on equipment to support ESD risk assessment
• To strengthen the Electrostatic Discharge (ESD) awareness and knowledge within Back-End Manufacturing and Technology (BEMT) Sites and Electrical Wafer Sorting (EWS) by developing & conveying training material to the various levels of Operators, Technicians & Engineers. 
• Assist ESD coordinators within the community in BEMT and EWS in the equipment validation/qualification and provide technical support in ESD problem solving.
• Perform equipment validation/qualification for new models.
• Perform audit /line assessment and suggest areas of improvement within BEMT plants in Calamba, Shenzhen, Muar, Bouskoura, Malta and Rennes BEMT & Outsourced Semiconductor Assembly and Test (OSAT) perimeter and EWS perimeter.
• Ensure that the ESD Control Program is running as per Central Specifications in both Assembly and Test & Finishing within BEMT plants, EWS and OSATs.
• Review and maintain Central ESD specifications in line with American National Standard Institute (ANSI).
• Coordinate cross-fertilization activity of best practices for all BEMT sites and EWS.
• To investigate customer incidents related to ESD and advise on possible solutions.
• Define Plan of Records (POR) of ESD Control Items through mapping analyses in accordance with his/her superior and standardise where possible.
• To update ESD workspace in Teams where ESD knowledge and qualifications can be shared.
• Liase with equipment supplier (Assy and T&F) and discuss with his/her superior to provide equipment ESD Class 0 compliance, if necessary.

YOUR SKILLS & EXPERIENCES

• Holds an Electrical Engineering diploma/degree or higher. Holding ‘The International Association for Radio, Telecommunications and Electromagnetics (iNarte) Certification will be a plus.
• Minimum of 5 years’ experience in the Semiconductor Industry.
• Possess good technical knowledge of Assembly, Test & Finishing equipment & Processes.
• Strong Management Skills.
• Possess very strong project driving skills.
• Be smart, Dynamic and goal oriented.
• Be a person that challenges the status Quo.
• Have a strong and positive character which will enable him/her to drive projects overcoming obstacles. 
• Possess good communication skills. Be fluent in both written & spoken English. Italian will be a plus.
• Be computer literate that includes Excel Macros, Power BI and MS PowerPoint.
• Be disciplined, motivated, able to work in a team and willing to put in extra effort to complete urgent tasks. 
• Be flexible, adaptable to needs and be able to take decisions following continuous inputs.
• Willing to take on new tasks as and when being assigned. 
• Be ready to travel at least 25-40% of the time. 

Job Description & Requirements

• To provide wherever and whenever necessary standing supervision for the construction of civil and structural works in accordance to the Project specifications, construction drawings and Building Control Act and Regulations.
• To be overall in charge of the management and control of a team of site staff or Resident Technical Officer(s) in performing their duties on site so that they can provide satisfactory supervision and to take responsibility of their work and performance.
• To oversee in all aspects relating to the construction of the Project, keeping and submitting record of works, materials, equipment at site, attending meetings, keeping minutes of meetings and discussions, assisting in the co-ordination of Contractor’s works with Consultants and any external parties like neighbouring contractors and utility companies.

Requirements:

• Minimally a Degree in Civil Engineering recognized by the Professional Engineers Board.
• Candidate must be a registered Resident Engineer with BCA.
• At least 8 years site supervisory experience in LTA projects.
• Must be literate in English and have a good knowledge to use computer, computer software, e.g. Microsoft

Job Description & Requirements

Design, build, and deploy AI agents for operational workflows.

· Integrate agents with enterprise systems (ERP, HRIS, SharePoint, Dynamics 365, Salesforce) via APIs, Power Automate, or Graph connectors.

· Implement agent telemetry and observability pipelines using Microsoft Fabric or Power BI.

· Apply RAG (Retrieval-Augmented Generation), context injection, and prompt-chaining for knowledge-aware automation if needed.

· Maintain security, versioning, and audit trails for all agent deployments.

· Perform exploratory data analysis (EDA) on Finance, HR, or current datasets to identify automation opportunities and trends.

· Develop predictive ML models (e.g. anomaly detection, risk scoring).

· Deploy ML models into Power BI or agents through Fabric ML endpoints, or Python scripts.

· Collaborate with BI team to transform model output into decision-ready dashboards and alerts.

· Continuously measure ROI and performance through agent telemetry and statistical evaluation.

· Partner with the AI BA to translate business logic into model features and automation workflows.

· Work with BI teams to ensure data readiness, integrity, and lineage.

· Document models, pipelines, and prompts for auditability and reproducibility.

Qualifications

· Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.

· 4–8 years’ experience in data engineering, machine learning, or automation.

· Strong proficiency in Python, SQL, and Power Platform (Power Automate, Copilot Studio, Power Apps).

· Hands-on experience with EDA, regression/classification models, clustering, anomaly detection, and time-series forecasting.

· Familiarity with Azure AI / Azure Machine Learning / Fabric ML environment.

· Understanding of RAG pipelines, prompt-engineering, and LLM integration a plus.

· Experience working with structured (ERP, Finance, HR) and semi-structured data (documents, logs).

· Strong communication skills — can explain technical solutions to non-technical stakeholders.

· Bonus: Exposure to Finance or Shared-Service operations preferred.

Our client, a Swiss MNC located in Science Park is looking for outstanding candidates to fill the position of Automation Engineer (Minimum 1 Year Contract, Salary : 2.8K to 3.3K, Location : Science Park, Benefits : 15 days AL, 1 month completion bonus etc.).

Responsibilities :

• Conduct routine inspections and preventive maintenance on machinery and equipment
• Diagnose and troubleshoot equipment malfunctions to identify root cause
• Perform repairs and replacements of faulty components and parts
• Respond promptly to equipment breakdowns and emergency maintenance situations
• Communicate effectively with team members, providing updates on equipment status and addressing any challenges
• Monitor and manage inventory levels of spare parts and maintenance supplies
• Create and update equipment maintenance logs and documentation.
• Coordinate with external vendors for specialized maintenance task
• Cultivate and maintain positive relationships with vendors to foster collaboration and open communication
• Adhere to safety protocols and guidelines to maintain a secure working environment
• Ensure that all personnel strictly adhere to established procedures and protocols within the Permit-To-Work system, while concurrently overseeing the accurate and timely completion of all relevant documentation

KNOWLEDGE SKILLS & EXP:

• Programming knowledge such as C#, python, and vbscripts
• PLC programming such as ladder diagram
• CAD modeling software like Solidworks, Creo
• Cobot programming
• 3D printing and rapid prototyping
• Liquid handler programming

Requirements:

• Mechanical, mechatronic or Electrical engineering background
• Able to work independently and as a team player
• Effective communication and interpersonal skills
• Strong problem-solving skills and attention to detail
• Strong knowledge of mechanical, electrical, and plumbing system
• Physical stamina and ability to lift/move heavy equipment
• Stay updated on industry trends, advancements, and best practices
• Willingness to learn and adapt to new challenges
• Ability to read and interpret technical manuals and schematics

HOW TO APPLY :

Interested applicants, please submit your updated resume & a recent photo in MS Word format to :

hockkeng@officesecretaries.com.sg

Please state your availability, current & expected salaries for processing purpose. All applications will be treated in the strictest confidence. We regret that only shortlisted candidates will be notified.

Sixes XioLift is a fast growing vertical transportation specialist committed to delivering safe, reliable, and high quality maintenance and service solutions across Singapore. Driven by technical excellence and a strong safety culture, we support residential, commercial, and industrial clients by ensuring their lift systems operate smoothly and efficiently at all times.

As our presence in the Singapore market continues to expand, we are building a dedicated team of professionals who share our passion for engineering excellence, customer satisfaction, and continuous improvement. At Sixes XioLift, we believe our people are our greatest asset. We invest in training, hands on learning, and career development to help our team grow alongside the company.

Joining Sixes XioLift means becoming part of a supportive and dynamic work environment where teamwork, responsibility, and professionalism are valued. We offer long term career opportunities for individuals who are motivated, safety conscious, and eager to contribute to the growth of a forward looking organization.

Job Responsibilities:

- Drafting

- Coordinate with PT drafter

- Payment claims

- Project documents

- ME09 upgrading docs

- FI submission

- Prepare PTO documents

- Other project admin work

Qualifications / Requirements:

- Min diploma in engineering

- Relevant prior experience in lift industry or construction sector

- Must know Autocad and BIM

- Able to read technical documents

- Office based