Total 12,898 job vacancies in Singapore

Job Purpose

The primary responsibility of this role is to support the implementation, testing, and validation of the high-frequency ultrasound research platform through experimental setup, data acquisition, software development, and day-to-day technical execution of the project.

Key Responsibilities

• Assist in the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound structural and functional imaging.
• Support experimental setup, data collection, phantom preparation, system calibration, and routine operation of imaging hardware and associated measurement equipment.
• Conduct bench top and phantom experiments according to defined protocols, and assist in organizing, processing, and documenting experimental data.
• Develop and maintain software scripts, processing pipelines, and visualization tools for imaging experiments and performance evaluation.
• Support system integration activities involving sensors, data acquisition hardware, software interfaces, and computational workflows.
• Help prepare technical documentation, reports, figures, and datasets needed for project reviews, publications, and presentations.
• Maintain laboratory records, inventory, and equipment logs, and support procurement, setup, and troubleshooting of components and consumables.
• Assist in training and supporting students or project users in the use of the developed systems and software.
• Perform other project-related technical duties assigned by the Principal Investigator or senior research staff.

Job Requirements

• MTech, MSc, or equivalent in Electrical Engineering, Biomedical Engineering, Medical Technology, Instrumentation, Computer Engineering, Signal Processing, or a related field.
• Good knowledge of signal processing, imaging, electronics, instrumentation, or medical device-related development.
• Hands-on experience in programming, preferably in Python, MATLAB, C/C++, or similar environments.
• Experience in experimental work, data collection, and system troubleshooting is desirable.
• Familiarity with ultrasound imaging, biomedical instrumentation, image processing, or machine learning is desirable.
• Ability to follow technical protocols accurately and to maintain clear documentation of work performed.
• Ability to work effectively both independently and under the guidance of senior researchers.

Key Competencies

• Technical aptitude and practical problem-solving ability.
• Good programming and data handling skills.
• Careful and systematic approach to experiments, testing, and documentation.
• Attention to detail and commitment to data quality and reproducibility.
• Willingness to learn new technical skills and adapt to evolving project needs.
• Good teamwork and communication skills.
• Ability to manage time effectively and support multiple concurrent project activities. 

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

We are seeking a motivated Research Engineer to join our team at a newly established Research Centre in Animal Feed, a facility dedicated to aquaculture and animal feed research, production, and capability development. The role is responsible for the reliable, safe, and efficient execution of feed research and production activities, and serves as a key enabler of service delivery, project execution, and capability transfer for the Centre.

You will support the day-to-day running of feed production, testing, and development activities, while developing an end-to-end understanding of feed production, from formulation through to finished feed. This role is ideal for an engineer eager to gain hands-on experience in applied feed science and to help build operational excellence within a growing research environment.

Key Responsibilities:

Feed Mill Operations

• • Ensure the uninterrupted and efficient operation of the feed mill.
  • Plan and execute production runs for R&D, pilot, training, and service activities.
  • Oversee formulation execution, extrusion, drying, coating, and quality control.

Technical Excellence & Standards

• • Establish and maintain operational standards for formulation, processing, and quality control.
  • Ensure compliance with safety, quality, risk and regulatory requirements.
  • Support the commissioning, validation, and optimisation of upgraded equipment.
  • Conduct routine laboratory analyses (e.g. proximate analysis, basic quality checks).
  • Support sample preparation and data generation for feed and ingredient testing.
  • Maintain good laboratory practices and basic QA/QC procedures.

People & Capability Development

• • Provide hands-on leadership and mentoring to technical staff.
  • Transfer operational know-how and best practices to build a competent team.
  • Support the training and upskilling of staff involved in feed production.
  • Communicate with internal and external stakeholders to ensure project deliverables are met.

Operational Integration

• • Work closely with the Centre Director on production planning, resource allocation, and prioritisation.
  • Support the Centre Director in the engagement of external parties.
  • Support the smooth integration of feed mill operations within the Research Centre’s broader project and service portfolio.
  • Any other ad-hoc duties assigned by Supervisors.

Job Requirements:

• Have relevant competence in feed production, processing, or a related technical field.
• Have a degree in Food Science, Animal Science, Aquaculture, Chemical/Process Engineering, or a related discipline.
• Experience in feed milling, extrusion processing, or laboratory analysis (e.g. proximate analysis, QA/QC) will be advantageous.
• Strong hands-on, problem-solving, and team-leadership skills will be advantageous.

Job Description

• Industry/ Organization Type: Project Management Solution Provider
• Position Title: Technical Sales /Inside Sales Engineer (Valves products)
• Working Location: North – Tagore Lane (Nearest MRT: Springleaf)
• Working Hours: 5 days (Monday to Friday: 8.45am – 6pm)
• Salary Package: Up to SGD 4500 + AWS + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Supervise and administer multifaceted projects in the oil & gas sector, focusing on structural components, piping & fittings, and valves
• Work with interdisciplinary teams to guarantee the effective completion of projects
• Formulate and apply purchasing strategies to enhance cost efficiency and product quality
• Perform market analysis and assess suppliers to ensure optimal partnership selections
• Negotiate and formalize agreements with vendors and suppliers to secure favorable terms
• Track project milestones to maintain strict adherence to deadlines and budget constraints
• Ensure all project activities comply with tender specifications and client requirement

APPLY NOW!!!

• Min. Diploma in Engineering
• Min. 2 years' experience in Project Management or Sales, specifically with valves in the Oil & Gas and Marine/Offshore sectors
• Strong project management skills and a customer service orientation are essential

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #76244 on the email subject.

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

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

• Position : Dental Technician / Engineer (Dental Equipment)
• Location: Near Tai Seng MRT
• Working Hours: 5 days, 8.30am to 5.30pm
• Salary: Up to $3,200 basic + company phone + transport reimbursement + AWS + variable bonus + 14 days annual leave
• Employment Type: Permanent
• Industry: Dental Care Equipment, MNC

Key Responsibilities

• Support installation, servicing, troubleshooting and technical support for dental equipment and related products.
• Coordinate with local and overseas dealers and customers on installation, service requirements and product-related enquiries.
• Provide onsite and remote technical support for equipment, IT-related installation and service issues.
• Assist in handling product complaints, feedback and service follow-ups.
• Manage spare parts inventory and coordinate parts availability for service support.
• Provide technical training and product guidance to dealers and customers when required.
• Perform other service-related duties assigned.

Requirements

• ITE, NITEC or Diploma in Electrical, Mechanical, IT, Electronics Engineering or related discipline.
• Good IT and computer knowledge.
• Relevant experience in equipment servicing, technical support or field service will be an advantage.
• Candidates without direct experience may be considered if they have suitable technical training and are open to hands-on technical development.
• Good communication skills to explain technical matters clearly to customers and healthcare professionals.
• Class 3 driving license will be an advantage when required to travel to customer or dealer sites.

Email to joie@searchpersonnel.com.sg

Do visit www.facebook.com/search.personnel for more job listings and career tips!

**We DO NOT charge our candidates nor bind them with any contract.**

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

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)

As a PDE Central Yield Enhancement (YE) Engineer within Package Development Engineering (PDE), you will own and execute yield learning and improvement activities across advanced package technologies during HBM and NCG New Product Introduction (NPI). Your scope includes yield monitoring, excursion response, and yield stabilization, with an emphasis on rapid learning, early risk identification, and scalable solutions. 

This role plays a key part in driving robust yield performance from first silicon through NPI ramp and early HVM, partnering closely with Process Integration (PI), MRDA, Process Engineering, Assembly/Test Manufacturing and Quality teams. You will act as a hands‑on yield owner for NPI builds, translating data into actionable insights, driving fast learning cycles, early risk detection, and leading disciplined yield recovery. 

Job Responsibilities 

Yield Loss Accounted For 

• Account for HBM NPI builds across PWF, Assembly, and test through defect breakdown and PFA submission to understand fail mode 

• Own and execute assigned Central YE responsibilities for HBM NPI program, work closely with PI to identify defects that is coming from their area to brainstorm for CIP 

• Learn NPI processes, phase gates, and yield best practices 

• Assist in maintaining yield dashboards and trackers. Support PI/PE/RDA in identifying and transforming processing data to account/ breakdown a yield loss 

Yield Deviation Control 

• Analyze and report on yield deviation issue and trigger action from PI, PE or RDA 

• Support block run and partial conversion build yield analysis to early detect any impact on yield 

• Work closely with PCS team to identify SPC or FDC charts to put into YLR dashboard for shift left monitoring 

Yield Improvement Opportunities 

• Brainstorm with staff from other departments for improvement opportunities and propose to PI 

• Design and implement new solutions, including hotspot analytics, to improve the effectiveness of the automated defense line system. 

• Utilize software tool like Auto-diagnostics to find yield improvement opportunities 

Integrating Artificial Intelligence 

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgement and complying with organizational standards and legal requirements 

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work 

Job Requirements 

• Bachelor's or Master's degree in Electrical/ Electronics Engineering/ Computer Engineering / Computer Science with 2 to 5 years of experience in semiconductor industry, specifically involving yield analysis, defect/root cause investigation, or data-driven process optimization in advanced memory (HBM, DRAM, NAND) or high-volume semiconductor packaging. 

• Proficiency in Python (e.g., Pandas, NumPy) and SQL for semiconductor manufacturing data analysis, with hands-on experience developing interactive dashboards and visual reports using tools (including Spotfire and Power BI/Tableau) to translate large manufacturing datasets into actionable yield and process improvement insights. 

• Demonstrated experience building automated reporting workflows, data pipelines, or process automation solutions using Python scripting or RPA tools within a semiconductor manufacturing environment, with the ability to drive cross-functional decisions across manufacturing, process integration, and engineering teams in the semiconductor industry. 

• Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, and achieving business outcomes 

Embody Micron’s Core Values 

• People – Respect, develop, and empower others. 

• Innovation – Drive continuous improvement and breakthrough thinking. 

• Tenacity – Show grit and determination. 

• Collaboration – Build trust and foster teamwork. 

• Customer Focus – Deliver excellence and value 

Our client is a well-established MNC specializing in precision manufacturing and engineering solutions, supporting customers across various industries globally. They are looking for a Mold Process Engineer (SPD Tester) to join their Engineering team. They are located in the (West) – easily accessible.

Responsibilities for Mold Process Engineer (SPD Tester):

• Provide engineering support for injection moulding, assembly, packaging, and manufacturing operations.
• Troubleshoot process, tooling, and equipment issues to improve production efficiency and minimise downtime.
• Analyse process variances and implement corrective actions to improve yield and process stability.
• Support process development, optimisation, and validation activities for new and existing products.
• Execute validation activities including Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ).
• Conduct Design of Experiments (DOE), process studies, and technical evaluations to enhance process capability.
• Prepare and maintain Standard Operating Procedures (SOPs), validation reports, and technical documentation.
• Perform Process Failure Mode and Effects Analysis (pFMEA) and support continuous improvement initiatives.
• Work closely with Production, Quality Assurance (QA), Maintenance, and Engineering teams to ensure smooth manufacturing operations.
• Ensure manufacturing activities comply with ISO 9001, ISO 13485, and ISO 14001 standards.

Requirements:

• Diploma or Degree in Mechanical Engineering or related discipline.
• Minimum 3–5 years of relevant working experience in plastic injection moulding environment.
• Knowledge of validation protocols including IQ, OQ, and PQ.
• Familiar with Scientific Process Development (SPD) methodologies.
• Experience in DOE, process optimisation, and troubleshooting will be advantageous.
• Exposure to ISO 9001 and ISO 13485 environments will be an added advantage.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.
We regret that only shortlisted candidates will be notified.

Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

RESPONSIBILITIES 

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

REQUIREMENTS

• Bachelor's degree in Material Science / Chemistry / Nanotechnology, or any related Engineering. 
• Diploma with 3-4 years of experience in a manufacturing / semiconductor process-related role.
• Understanding of Sputtering / thin film / deposition technology.
• Good knowledge of Minitab & Microsoft Office.
• Strong analytical skills, problem-solving skills.
• Strong collaboration and communication.
• Continuous improvement mindset.

GMP Technologies (S) Pte Ltd | EA Licence 11C3793 | EA Personnel: Novita Widjaja | Registration No: R22105960

Critical Development Cloud Support Engineer (Senior Engineer, Hybrid Cloud) 

Job Description 

• Provide technical support for maintenance, patching, and upkeep of Microsoft, Nutanix and Citrix server systems, load balancers, and proxies. 

• Assist in managing compliance-related tasks to ensure regulatory adherence. 

• Collaborate in troubleshooting and resolving system issues to minimise downtime. 

• Support day-to-day service and change requests, ensuring timely and efficient delivery. 

• Manage IT equipment inventory, including tracking, condemnation, and disposal processes. 

• Coordinate with vendors and clients to facilitate deployments, system refreshes, and other technical initiatives.  

Qualifications 

• At least Degree in Computer science / IT / Engineering or equivalent 

• Good technical skills in engineering, computer, and IT systems, and preferably in communications technologies as well 

• Good working knowledge of Life Cycle Management and Systems Engineering in Windows server platform not limited to Microsoft System Centre suite of products. 

• Proficiency in Microsoft Server Operating System, Nutanix Acropolis Hypervisor, Ubuntu, Redhat, ⁠Citrix Virtual Desktop, BeyondTrust PIM/PAM, RSA Security Appliance, Splunk, Solarwinds, Tenable VMS, Veeam Backup, Ansible Automation Platform, Tenable VMS etc. 

• At least 1-3 years’ experience in Information Technology industry in the areas of Microsoft, Nutanix or Citrix system implementation, project management and O&S. 

• Good communication and writing skills 

• Shall have experience in performing project management, handle technical challenges and in liaising with the user and vendor to define business requirements and deliver technical solution. 
  

  JOB-00487
  

  All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

  Kindly email your resume in a detailed Word format to swathi.dhar@peopleprofilers.com

  Only shortlisted candidates will be notified.

  People Profilers Pte Ltd

  20 Cecil Street, #08-09 PLUS Building Singapore 049705

  +65 6950 9747   

  EA Licence Number: 02C4944

  Reg. Number: R1111371

  EA Personnel: Swathi Dhar
  

Job Description

• Industry/ Organization Type: Manufacture of Electrical Power Distribution, Control and Automation Systems
• Position Title: Electrical Design Engineer / Senior Electrical Design Engineer
• Working Location: Tuas Crescent (Transportation Provided)
• Working Hours: Monday – Friday, 8.15am – 5.45pm
• Salary Package: Basic + AWS + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Lead major projects within the Design Department, accountable for the full project lifecycle and team results.
• Plan, assign, and supervise design tasks; mentor and guide the design team.
• Review and approve drawings and technical documents from the team.
• Ensure proper implementation of design controls and maintain quality standards.
• Prepare material requisition lists for projects.
• Design electrical switchboards, control panels, and consoles per client requirements and company standards.
• Create and submit approval/shop/final drawings, short circuit calculations, and instruction manuals.
• Coordinate with clients and consultants regarding technical requirements; participate in technical meetings as needed.
• Communicate technical changes and variations to Sales & Marketing for claims or contract adjustments.
• Liaise with production to follow up on design and shop drawings.
• Support Sales & Marketing with technical input and backup for contract bidding.
• Continuously improve department workflow to increase efficiency and reduce waste.
• Follow and enforce Quality Management System procedures.
• Carry out other tasks as directed by supervisors.

APPLY NOW!!!

• Diploma or higher in Electrical Engineering.
• Minimum 3 years of relevant experience.
• Experience in switchboard/panel design (marine or industrial) is an advantage.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #78314 on the email subject.

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

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

• Well Established Medical Devices Manufacturing Company

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

• Basic $8000 to $9300 + Completion Bonus

• Working location: Boon Lay

• Working day: Monday to Friday

• Working hours: 8.30am to 5.30pm

  
  

Job Responsibilities:

ERP System Implementation

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

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

• Gather and document business requirements from various departments.

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

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

Process Improvement

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

• Support inventory management and inventory costing enhancement initiatives.

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

• Recommend and implement practical solutions to operational challenges.
  

Project Coordination & Stakeholder Management

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

• Facilitate project meetings and follow up on action items.

• Communicate project updates and escalate issues when necessary.

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

  
  

Job Requirements:

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

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

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

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

• Manufacturing industry experience is essential.

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

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

  
  

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

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background

  
  

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

Position title : Senior TCB Application & Technical Sales Engineer

Location: Admirax St

Working Days:  5 Day A Week

Working hours : 9:00am - 6:00pm

Salary : SGD 7,000 – SGD 10,000/month (Based on experience and technical capability).

Responsibilities:

• Engage semiconductor customers to understand packaging roadmap, process requirements, throughput targets, yield and reliability challenges.

• Support technical sales activities and customer discussions.

• Benchmark competitor equipment and identify technology gaps.

• Translate customer requirements into internal equipment specifications.

• Develop and optimize TCB process parameters on TCB Equipments.

• Support advanced packaging applications including HBM, CoWoS, CoPoS, 2.5D Packaging, 3D Packaging and Chiplet Integration.

• Troubleshoot bonding issues such as non-wet, misalignment, voids, delamination and warpage.

• Conduct DOE and process characterization activities.

• Work closely with Mechanical, Software, Electrical, Motion and Vision teams.

• Define alignment accuracy, thermal performance, bond force profiles, throughput targets and process windows.

• Lead machine qualification, FAT and SAT activities.

• Act as the internal customer during machine development.

• Support customer buyoff and onsite qualification activities.

Requirements:

• Bachelor’s or Master’s Degree in Materials Science, Mechanical Engineering, Electrical Engineering, Semiconductor Engineering or related fields.

• 5–15 years of semiconductor packaging experience preferred.

• Hands-on experience in TCB, Flip Chip and Advanced Packaging.

• Experience in HBM / CoWoS / 2.5D / 3D packaging.

• Experience in OSAT, IDM or semiconductor equipment environments preferred.

• Experience with fluxless or N2 bonding environment is an advantage.

• Strong understanding of Thermo Compression Bonding (TCB), Flip Chip processes, thermal management, warpage control, alignment systems, vision systems, process qualification, SPC and yield analysis.

• Experience with DOE, statistical analysis tools, failure analysis workflows and semiconductor process characterization.