Total 13,384 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 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

Key Responsibilities

• Develop and maintain scalable web applications and backend services using Java and JavaScript-based technologies.
• Build RESTful APIs and microservices using Spring Boot and Node.js.
• Design responsive user interfaces using React.js and TypeScript.
• Work with SQL and NoSQL databases such as PostgreSQL, MongoDB, and ElasticSearch.
• Collaborate in an Agile development environment with cross-functional teams including DevOps, QA, and Product.
• Implement CI/CD pipelines and participate in DevOps practices using Docker and related tools.
• Ensure software quality through unit testing, code reviews, and automated testing.
• Troubleshoot issues and optimize application performance.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Strong proficiency in Java and JavaScript, with experience in Spring Boot, Node.js, and React.js.
• Proficient in TypeScript, MongoDB, and SQL/NoSQL databases.
• Familiarity with Docker, ElasticSearch, and DevOps concepts.
• Experience working in an Agile/Scrum environment.
• Good understanding of system design, APIs, and microservices architecture.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with CI/CD tools and infrastructure as code.
• Knowledge of security best practices and performance tuning.

Location: Central

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to qianyu@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

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)

Fabrica AI created an automatic tile grouting robot that delivers a 5x productivity boost.This patented solution, currently being deployed at leading construction companies like Woh Hup, BHCC, and others, exemplifies the transformative power of our approach.

We've secured over 3 million USD in funding from prestigious investors like Hoxton Ventures, Credo Ventures, and prominent figures like our professor from Cambridge University and construction giants like Woh Hup. This strong backing fuels our mission and validates the transformative potential of our technology. 

Website: https://www.fabrica.ai/ (and various press releases, awards, etc.)
Grouting Robot Video: https://drive.google.com/file/d/1JfY-tL7gGydiFUyScjJLhA6maB6viG6e/view

Core Responsibilities:

• Design, implement and maintain software modules for autonomous robot operation using the ROS2 framework.

• Design, implement and maintain firmware logic and architecture. 

• Develop code for embedded software components.

• Build and maintain data pipelines for the training and evaluation of AI models.

• Develop and integrate AI/ML models into the robot software stack.

• Research and evaluate other state-of-the-art AI techniques relevant to robotics, and Computer Vision.

• Evaluate and integrate third party open source libraries, SDKs and/or APIs where beneficial.

• Design and execute testing strategies including unit, integration and HIL tests to validate software correctness and system performance.

• Diagnose and resolve software and firmware issues across the stack.

• Develop and maintain tools for build systems, testing, logging and remote diagnostics.

• Involve and drive Continuous Integration and deployment (CI/CD) infrastructure and environment setup.

You may also be involved in:

• Hands-on assembly, wiring and soldering of electronic subsystems as part of prototype bring-up and iteration

• Occasional on-site deployment and testing at live operational environments (e.g. construction sites), requiring adaptability and safety-consciousness.

Technical Requirements:

• Proficiency in C++17 or later for performance-critical systems.

• Proficiency in Python for scripting, tooling, ML pipelines.

• Experience with bare-metal embedded development in C.

• Familiarity with robotics simulation environments like Gazebo for development and validation.

• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.

• Familiarity with and computer vision libraries (e.g. OpenCV, Ultralytics).

Nice to Haves:

• Experience with version control (Git) and collaborative development workflows

• Experience in configuring sensors over I2C, CSI and CAN.

• Familiarity with cross-compilation build systems for embedded systems (arm-none-eabi).

• Familiarity with software design principles and CI/CD pipelines (eg Github Actions)

• Experience with electronics is a plus.

Values/Culture:

• Excited to work in a fast-moving startup environment where your work directly shapes the product and puts you close to real-world operations and clients

• Comfortable with ambiguity and able to self-direct in an environment where priorities evolve rapidly

• Strong first-principles thinking, comfortable defining success metrics and making reasoned decisions with limited data

• Self-motivated and impact driven, with a track record of going beyond the minimum through personal projects, open-source contributions or extracurricular technical work

• Excited about robotics and similar technical areas and exploring them in work and other projects

• Approach unfamiliar problems with curiosity and a growth mindset. Eager to learn across domains including hardware, software and operations

Our work is fast-moving and iterative, and your role will grow with it. We value people who can take initiative, connect their day-to-day work to the bigger picture, and adapt as our priorities evolve.

Click on the link above for more information, send your CV to careers@fabrica.ai to apply.

About Innowave Tech Singapore

We build AI-driven automation software for semiconductor and advanced-manufacturing industries. Our strength lies in deep industrial domain expertise combined with cutting-edge AI and software engineering to solve complex factory problems.

Your Mission

You’re not here to just write code—you’re here to think deeply, attack challenges from all angles, and deliver elegant, high-impact solutions using any technology necessary. You’ll own end-to-end design, development, and deployment of intelligent automation systems that move the needle in semiconductor fabs.

What You’ll Do

• Deep Problem Solving & Architecture

– Proactively break down ambiguous manufacturing problems and propose multiple technical approaches.

– Architect modular, scalable solutions that can adapt to evolving shop-floor requirements.

– Keep algorithmic considerations in mind and collaborate closely with data scientists and computer-vision engineers to integrate advanced analytics or control logic as needed.

• Core Development

– Mastery in Python (3.x), leveraging frameworks/tech like asyncio, multithreading, and functional programming.

– Build clean, well-documented code with strong OOP and design-pattern best practices.

• System Integration & Deployment

– Interface with industrial equipment (via REST, Websocket, MQTT or custom protocols) .

– Containerize with Docker; collaborate on Git for reliable releases.

• AI & Automation Tools

– (Optionally) Integrate or fine-tune LLMs and agentic AI agents to automate complex decision workflows.

– Develop retrieval-augmented systems, effective prompt strategies, or rule-based fallbacks as needed.

• Quality & Testing

– Create exhaustive unit/integration tests and simulation environments to validate automation logic.

– Troubleshoot production issues with clear root-cause analyses and corrective solutions.

What We’re Looking For

Must-Have

1. Deep Thinker & Problem Solver – You thrive in uncertainty, ask the tough questions, and drive solutions through to completion.

2. Python & Tech Stack Mastery – At least 3 years professional experience in Python, plus familiarity with related ecosystems (e.g. Git, Docker, RPA tools).

3. Collaborative Analytical Mindset – You understand the basics of data processing and computer vision workflows, and can partner effectively with data-science or CV teams to bring algorithmic components into production.

Nice-to-Have

1. Hands-on experience in semiconductor or industrial automation environments.
2. Knowledge of virtualization/KVM, RPA frameworks, or real-time control systems.
3. Exposure to AI/ML frameworks (TensorFlow, PyTorch) or LLM fine-tuning.
4. Background in regulated environments.

Education and Background Requirements

• At least Bachelor’s degree Computer Scienc, Software Engineering, Information Technology or any related fields.
• Minimum 3 years of hands-on experience in software development, primarily using Python.

Why You’ll Love Working Here

· High-Impact Projects: Tackle real factory challenges that directly improve yield and throughput.

· Autonomy & Ownership: You call the shots on technology choices—no micromanagement.

· Collaborative Culture: Work alongside AI researchers, automation engineers, and fab experts.

· Growth & Leadership: Clear pathways from individual contributor to technical lead or architect roles.

Ready to Transform the Future?

Join us to lead innovation in automation and shape the future of smart manufacturing! We look forward to welcoming individuals who are passionate, proactive, and ready to make a difference. Apply today!

Responsibilities:

• Manage the day-to-day technology requirements of our proprietary trading systems
• Accelerate trading and research analysis workflows by utilizing and expanding on the Firm’s in-house infrastructure and improve productivity
• Evaluate new technologies and identify/deprecate legacy code to improve on the current technological stack
• Collaborate with other engineers, traders, and researchers to design custom frameworks or end-user solutions
• Write performance sensitive code and user-friendly APIs to facilitate access to our in-house data analysis infrastructure
• Lead design discussions and conduct code reviews to maintain high standards and quality of written code

Requirements:

• Bachelor’s or Master’s degree in Computer Science or related Engineering discipline
• 5+ years of experience building demanding, live systems in Python
• In-depth knowledge of Python and keeps up with current standards (3.11 onwards)
• Up-to-date knowledge of the Python ecosystem: third party libraries, packaging in-built Python libraries
• Knowledge of a systems language such as C, C++, Rust, etc.
• Solid understanding of data structures
• Strong verbal and written communication skills
• Must care about the user-experience/UX component
• Knowledge of CI software, such as TeamCity or Jenkins
• Familiarity with Linux
• Ability to mentor others and lead small projects

Bonus points:

• Experience in the trading industry
• Familiarity with the scientific python stack
• Understanding of the latest in python package management

Youwill be working with a team of dedicated & committed engineers for thedevelopment of healthcare application platform and solutions for thetransformation of Singapore Healthcare IT landscape. Our mantra is to “workhard and have fun”, to deliver the next generation healthcare digitalexperience across whole of Singapore

Role& Responsibilities

• Translate business requirements into detail module or component level design
• Participate in solution design in hybrid cloud environment
• Hands-on coding on the assigned modules or components
• Work closely with DevOps engineer for Release management

Requirements

• Bachelor's Degree, Post Graduate Diploma, Professional Degree in Computer Science, Information Technology.
• 6+ years of relevant work experience in software product development.
• Hands-on development experience for Backend application (C# .Net core)
• Knowledge and experience in frontend development (e.g. Reactjs) will be advantageous
• Design and implementation of  REST API and backend business logic, and ensure the API is compliant to healthcare industry standards HL7 FHIR
• Knowledge and experience in application design patterns
• Knowledge and experience in Azure DevOps or equivalent CI/CD
• Experience developing applications using native cloud service offer by AWS or Azure will be advantageous
• Experience with Containers and Orchestration such as Kubernetes/OpenShift will be advantageous
• Experience in Microservice architecture design and implementation will be advantageous

Weare looking for potential CRM Dynamics specialists who will be working with ateam of dedicated & committed engineers for the development of healthcareapplication platform and solutions for the transformation of SingaporeHealthcare IT landscape. Our mantra is to “work hard and have fun”, to deliverthe next generation healthcare digital experience across whole of Singapore

Role& Responsibilities

• Responsible to do development for MS CRM Dynamics 365 for both On Cloud and On Premises deployments.
• Responsible for the development on Power Platform especially power apps. 
• Responsible for making solution recommendations with pros and cons considering the MS CRM Dynamics and Power Platform.
• Responsible to integrate with other system using KingswaySoft and Web API. 
• Responsible for packaging for deployment team over various Dynamics environments using CI / CD of Azure Cloud. 
• Perform application/technical design documentation.
• Provide on-going application support and be involved in various stages of the SDLC
• Plan and coordinate end-user training for any system implementations or enhancements.
• Work effectively in a tight deadline, high pressure environment.

Requirements

• At least 8-10 year’s working experience in programming using Microsoft and web technologies.
• Detailed knowledge of MS CRM Dynamics and Power Platform having developed at least 2 or 3 Applications using Dynamics best practices and design standards.
• Implementation ofMS CRM Dynamics  
• Develop .Net (C#) Plugins.
• Develop .Net assemblies for Custom Workflow.
• Develop client-side Jscript (JQuery) for entity form events.
• Develop using MS CRM SDK to implement customization.
• Configuration of multi-disciplinary user roles
• Deployment of configurations and customization including solution package for entities (Forms, Views, Charts and Dashboards), Plugins and custom workflows.
• Data Migration 
• Experience in Object Oriented Programming, .Net Web Applications, Web Technology (IIS), .Net framework 4.6.2 and above, C#, SQL and Stored procedure in MS SQL Server 2016 and  Above
• Experience in application integration and / or web services integration required.
• Having a knowledge of various version controls repositories.            
• Bachelor’s degree in software engineering, Computer Science or Management Information Systems

Key Responsibilities

• Develop and maintain scalable web applications and backend services using Java and JavaScript-based technologies.
• Build RESTful APIs and microservices using Spring Boot and Node.js.
• Design responsive user interfaces using React.js and TypeScript.
• Work with SQL and NoSQL databases such as PostgreSQL, MongoDB, and ElasticSearch.
• Collaborate in an Agile development environment with cross-functional teams including DevOps, QA, and Product.
• Implement CI/CD pipelines and participate in DevOps practices using Docker and related tools.
• Ensure software quality through unit testing, code reviews, and automated testing.
• Troubleshoot issues and optimize application performance.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Strong proficiency in Java and JavaScript, with experience in Spring Boot, Node.js, and React.js.
• Proficient in TypeScript, MongoDB, and SQL/NoSQL databases.
• Familiarity with Docker, ElasticSearch, and DevOps concepts.
• Experience working in an Agile/Scrum environment.
• Good understanding of system design, APIs, and microservices architecture.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with CI/CD tools and infrastructure as code.
• Knowledge of security best practices and performance tuning.

Location: Central

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to kayla@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Key Responsibilities

• Design, develop, and maintain robust, scalable, and high-performance applications using Java
• Build and enhance backend services, APIs, and microservices architectures
• Collaborate with frontend developers, QA engineers, and DevOps teams to deliver end-to-end solutions
• Participate in system design discussions, code reviews, and technical decision-making
• Troubleshoot, debug, and optimize application performance
• Ensure code quality through best practices, testing, and documentation
• Contribute to Agile ceremonies including sprint planning, stand-ups, and retrospectives

Requirements

• Degree in Computer Science, Engineering, or related field
• Strong experience in Java development (Spring Boot preferred)
• Proven experience in building scalable and distributed systems
• Familiarity with RESTful APIs, microservices, and cloud environments
• Experience with databases (SQL/NoSQL) and performance tuning
• Understanding of CI/CD pipelines and DevOps practices
• Strong problem-solving skills and ability to work independently

Good to Have

• Experience with containerization tools (Docker, Kubernetes)
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Knowledge of messaging systems (Kafka, RabbitMQ)
• Familiarity with frontend technologies (React, Angular)

Work Location: Central

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to kayla@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

We are seeking a Software Engineer with strong backend development experience in Java and Spring Boot.. You will design, build, and maintain scalable microservices and deploy them on cloud platforms (AI Cloud or equivalent).

This is a 1-year direct contract role.
Key Responsibilities

• Design, develop, and maintain scalable backend applications using Java and Spring Boot

• Build and deploy microservices on cloud platforms

• Collaborate with cross-functional teams to define and deliver features

• Deploy, monitor, and manage applications in cloud environments

• Troubleshoot, debug, and optimize application performance

• Follow best practices in coding standards, testing, and deployment

• Participate in code reviews and continuous improvement

• Liaise with Mandarin-speaking stakeholders, vendors, and technical teams as required.

About us

We own and develop the Dyson Link Smart home app, which is at the forefront of Dyson's IoT experience. We are proud of what we have built so far; we have an App Store and Google Play rating of 4.5 and 4.3 stars respectively, we have more than 1 million active users worldwide and our IoT platform has over 3 million connected Dyson machines. We have huge ambition to grow this platform and as we connect more machines from more categories the challenge is significant. 

About the role
We are looking for an Engineering Manager to lead one of our mobile app teams at Dyson. This is a hands-on leadership role requiring a balance of technical excellence, team development, and stakeholder management.

You will be responsible for driving the delivery of high-quality mobile experiences while building and mentoring a high-performing engineering team. You are equally comfortable contributing to technical discussions, guiding architecture decisions, and working closely with cross-functional partners to deliver impact.

Our Tech
Our mobile apps are built using modern native technologies across Android and iOS, with a strong emphasis on scalability, modular architecture, and maintainability.

On Android, we use Kotlin with MVVM architecture, Jetpack libraries, and coroutines for asynchronous programming. On iOS, we follow modern Swift-based development practices with well-defined architectural patterns.

We integrate with cloud services using robust networking layers and work closely with IoT platforms to deliver seamless connected experiences.

Our teams place a strong emphasis on testing, code quality, and continuous improvement of our development practices and tooling.

What you’ll be doing

• Leading and mentoring a team of mobile engineers, supporting their growth, performance, and career development

• Driving delivery of features and improvements, ensuring high standards of quality, scalability, and reliability

• Collaborating with cross-functional stakeholders including product, design, QA, and engineering teams across cloud and embedded domains

• Owning technical direction and contributing to architecture and design decisions

• Remaining hands-on where needed, contributing to code, reviews, and problem-solving

• Balancing short-term delivery needs with long-term technical health and maintainability

• Establishing and improving engineering processes, practices, and team ways of working

• Communicating effectively with stakeholders to align on priorities, timelines, and outcomes

About you

• You have strong experience in native mobile development (Android and/or iOS), with a solid understanding of modern architectures and best practices

• You have experience leading or mentoring engineers, with a focus on building high-performing, collaborative teams

• You are comfortable operating across both technical and people leadership responsibilities

• You have experience working with cross-functional stakeholders and aligning engineering work with product goals

• You bring a pragmatic approach to delivery, balancing speed with quality and long-term sustainability

• You have strong problem-solving skills and a track record of delivering complex features or systems

• You are passionate about engineering excellence, continuous improvement, and team culture

• You are comfortable being hands-on and contributing technically when needed

• You are comfortable using AI-powered developer tools (e.g., GitHub Copilot, Claude or similar) to improve team productivity, while ensuring sound engineering judgment and code quality

- Understand the processes, flows, functional and non-functional requirements of the system

- Involve in system, sub-system, interface and database design

- Responsible for coding and unit testing of functional modules of the system

- Responsible for providing technical support and bug fixes during system integration testing, user acceptance testing, performance testing and penetration testing

- Assist in documentation of the system

- Responsible for providing maintenance support and bug fixes post system implementation

Requirements:

- Degree/Diploma in Computer Science, Computer Engineering, or equivalent

- At least 3 years of experience in Java EE application development esp Springboot & ReactJS

- Good understanding of Java EE architecture, Java Design Patterns and Object Oriented Programming

- Good understand in Spring/Hibernate/ORM/JMS or other framework

- Experience in HTML, JavaScript framework such as ReactJS, CSS

- Experience in Web Services like RESTful APIs/JSON, SOAP/XML

- Experience in MySQL RDBMS

- Experience in setting up Springboot application

- Experience in source code versioning system like GIT, SVN, TFS, etc.

- Experience in incident/bug reporting and tracking system like Remedy, Jira, etc.

- Experience in Sonarcube, Jenkins CICD is a plus

- Experience in Openshift and AWS services is a plus

- Strong problem solving skills, able to determine the programming effects on applications

- Good interpersonal and strong verbal and written communication skills

- Able to work independently with less supervision

• Well Established Company
• Excellent Welfare and Benefits + Career progression
• Basic $ 4500 to $ 6000 + AWS + VB
• Working location: North-East
• Working Hours: Monday to Friday (8:30am to 5:30pm)
• Must have C / C++

Job Responsibilities:

• Responsible for software prototyping, requirement analysis, design, development, test, system integration and site integration for developed applications
• Design, configuration, test, integration and maintenance of Automation & SCADA Systems and applications
• Provide technical, deployment and commissioning support to Project Teams and Customers
• Maintain and enhance software applications in both functionality
• Provide software support via on-site troubleshooting, testing and tuning of applications, software, network, protocols and communication issues

Requirements:

• Diploma/Degree in Electronics Engineering or Computer Science
• Experienced with two or more languages such as C/C++, C#, Python
• Experienced in at least one scripting language sch as Python, bash, ksh, bat, ps
• Experience in real tome/embedded system
• At least 2-3 years experience in C/C++ and at least 1 full SDLC
• Knowledge/Experience with SCADA protocols, RDBMS, REST, MQTT are desired

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.

NG DIAUM YEE (R2198031)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job Description:

• General Failure Analysis Engineer
• Perform sample preparation (cross section, parallel lapping, chemical decapsulation), use of ion miller, FIB and other preparation techniques;
• Perform failure analysis using various tools and instruments such as SEM, EDX, 2D/3D X-ray;
• Communicate with customer for selecting proper analytical technique and data interpretation;
• Prepare analytical reports;
• Assist in new failure analysis techniques development;
• Perform routine instrument preventive maintenance and laboratory housekeeping

Job Requirements:

• At least Degree in Electrical / Electronic Engineering; Material Science Engineering; Science & Technology; with a minimum of 2 years of relevant working experience.

• Candidates without experience are welcome to apply;
• Must be able to perform FA study individually and work well in teams;
• Maintain good 6S practice during daily operation;
• Experience in FA techniques including: Sample preparation (cross section, parallel lapping, chemical decapsulation), X-Ray, SEM and FIB would be a bonus;
• Experience in Wafer Fab/Semiconductor/LED/Solar/HDD industries would be useful;
• A team player who can be independent, hardworking with a persevering attitude.

• Well-Established Company
• Basic $3500 to $5000 + AWS +Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: WEST
• Normal Working Hours (Mon to Fri)

Job Responsibilities:

• Review of tender documents

• Preparing, compiling bid proposal in accordance with the customer specification

• Coordinate and liaise with internal departments to ensure timely responses to queries subsequent to bid submission

• Liaising and seeks competitive quotations.

• Negotiate with customer and sub-contractor about pricing.

• Source for suppliers and sub-contractors for quotation for tendering.

• Ability to estimating the cost of the assigned scope and prepare bill of quantities (BOQ), Schedule of Rate (SOR), Schedule of breakdown (SOK) and Schedule of Technical Data (SOT)

• Work closely with the Engineering team to ensure project handover is carried out and that support is provided during the execution phase if required.

Requirements:

• Possess at least a Diploma or Bachelor's Degree in Mechanical or Electrical Engineering

• 2 to 4 years of relevant experience, preferably in HVAC / BMS industry.
  

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

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