Total 713 Engineering job vacancies in PASIR GUDANG

Key Responsibilities:

• Responsible for the architecture design, RTL encoding (Verilog/SystemVerilog), and functional verification of digital control logic in 3D-NAND memory;
• Design a state machine (FSM) to manage complex NAND operation processes (such as Program, Read, Erase, Copy-back, Suspend/Resume, etc.);
• Develop a command decoder and address/parameter parsing logic to ensure compliance with JEDEC and internal specifications;
• Implement high-precision timing control logic to accurately generate the internal timing signals required for various operations (such as tR, tPROG, tBERS, etc.);
• Deeply involved in the physical layer and link layer logic implementation of ONFI (Open NAND Flash Interface) or Toggle Mode interface protocols, supporting DDR, NV-DDR, NV-LPDDR, and other modes;
• Collaborate with the analog/mixed-signal team to define array access timing, voltage switching windows, and read/write path control interfaces;
• Collaborate with firmware (FW) and system architecture teams to develop register maps, interrupt mechanisms, error handling strategies, and debug interfaces;
• Support UVM verification environment setup, provide Design for Testability (DFT) support, and participate in FPGA prototyping;
• Participate in chip bring-up, post-silicon debugging, and performance optimization to ensure products meet specification requirements.

Required Qualifications:

1. Education: Master's degree or above
2. Major: Microelectronics and Integrated Circuits, Electrical Engineering, Computer Engineering, or related fields;
3. Other Requirements:

• Minimum 5 years digital IC design experience, experience in NAND Flash or SSD controller projects is a plus;
• In-depth understanding of ONFI 4.x or Toggle 2.0/3.0 protocol specifications, with practical interface IP development or integration experience;
• Experience in control logic design under 3D-NAND or TLC/QLC architectures is a plus;
• Familiar with ECC control interfaces (such as LDPC/BCH engine scheduling and interaction);
• Excellent cross-functional collaboration skills, able to communicate efficiently with simulation, firmware, verification, testing, and product teams to jointly develop technical solutions.
• Experience with successfully tape-out and mass-produced memory chip projects is a plus.

Key Responsibilities:

• Lead the architecture design (e.g. memory cells, select transistors, and peripheral devices), process integration, electrical characterization, modeling and simulation, failure analysis for 3D NAND devices.
• Design and execute DoE, analyze the impact of process variations on device performance and reliability (such as durability and data retention), and propose improvement solutions.
• Collaborate with the process development team to assess new device architectures, driving technology iteration.
• Write detailed technical reports and support customers or internal teams in resolving related technical issues.

Required Qualifications:

1. Education: Master's degree or above
2. Major: Microelectronics, physics, material science & engineering, chemistry;
3. Other Requirements:

• 8+ years of semiconductor device work experience, 3+ years of 3D NAND work experience.
• In-depth knowledge of 3D NAND device physics, familiar with its principles, failure modes, and reliability mechanisms.
• Troubleshooting, and problem-solving capabilities, with experience in successfully improving device performance or yield.
• Familiar with advanced semiconductor manufacturing processes and integration flows.
• Strong cross-team communication and collaboration skills.

Job Description

We are looking for a passionate and capable individual to work with flexible sensors, wearable technologies, and benchtop biochemical analytics.

1. Be familiar with electrochemistry and electrochemical detection/analytics, colorimetric assays, enzymatic reactions, and biochemistry.
2. Be familiar with, and regular/daily wet-lab processes, materials processing, sample preparation, and electrochemical device preparation.
3. Be familiar with device and materials characterisation, such as common electrochemical approaches (CV, amperometry, DPV, SWV, etc), impedance measurements, basic optical measurements, and standard microscopy.
4. Possess basic computational abilities such as python, basic AI skills, with a keen eye for automation.
5. Be highly motivated for intellectual output (problem solving, publications, IP and general knowledge creation), able to learn quick on the job, able to think outside the box for research and engineering solutions

Qualifications & Field of Study:

Bachelors in preferably biomedical engineering, or materials science and engineering; chemical or electronics engineering or related fields are also relevant.

1. Good understanding of sensing materials, conductive/semiconductive materials, electronic devices, electrochemical sensors, and their related device engineering/development and characterisation tools
2. Good with detailed hands-on work in wet lab, meticulous and attention to detail; good with characterisation measurements
3. Have sufficient computational knowledge and abilities to complement research, including basic programming language, basic AI skills, awareness of automation etc.
4. Basic awareness and knowledge of biosensors, wearables technology, healthcare/medtech landscape.

Other Requirements:

1. Strongly driven for intellectual output and knowledge creation
2. Resourcefulness in problem solving
3. Diligent and team player, work in multi-disciplinary environments.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Key Responsibilities:

• Responsible for the performance, power consumption, and reliability testing and analysis of NAND memory products, and formulating test specifications and verification processes.
• Develop and maintain test equipment (ATE), including the definition and implementation of test modes such as BIST, DFT, and DFM, continuously improving test coverage and optimizing test time.
• Locate the causes of product failures after delivery and at the wafer stage through electrical failure analysis, design circuit analysis, physical failure analysis, and data analysis.
• Collaborate with the product design team and process team to identify the root causes of failures and drive the implementation of solutions.
• Support the testing and debugging of products in system-level applications (such as SSD, UFS, eMCP) to ensure efficient use by customers and the system side.
• Complete user manual verification, product test function verification, and participate in other test-related tasks assigned by the supervisor.

Required Qualifications:

1. Education and major: Master's degree or above in microelectronics, integrated circuits, electronic engineering, computer science, automation, physics, materials science, or other related STEM fields.

2. Experience requirements:

• Familiar with semiconductor product principles and testing mechanisms; background in memory (NOR/NAND Flash, SRAM, DRAM, phase-change memory, ferroelectric, etc.) testing or design verification is a plus.
• Experience in testing 3D-NAND, TLC/QLC, or flash memory products is a plus.
• Experience with successfully tape-out and mass-produced memory chip projects is a plus.

3. Technical skills:

• Proficient in C/C++, Python, Perl, etc., and familiar with UNIX/Linux environments.
• Experience in ATE (Automatic Test Equipment) development (e.g., T5830, T5833, Magnum V93K, etc.).
• Familiar with the functions, performance, and reliability indicators of memory products.
• Familiar with design-for-test (CFT), DFM, and other design-for-test (CFT) methodologies.

4. Other skills:

• Strong logical analysis, learning, and problem-solving abilities.
• Good communication, organizational, and teamwork skills.
• Proactive, steady, meticulous, responsible, and able to work under pressure.

Job Summary

We are seeking a proactive and technically versatile IT Support Engineer to provide dedicated remote technical support and infrastructure management. In this role, you will be the primary point of contact for remote users, ensuring their endpoints, productivity suites, and core infrastructure operate seamlessly. You will handle a mix of day-to-day helpdesk operations, proactive system maintenance, and cloud administration.

Key Responsibilities

• Remote Technical Support: Provide Tier 1 and Tier 2 remote support for end-users, diagnosing and resolving hardware, software, and network issues efficiently.

• Cloud & Workspace Administration: Administer and support enterprise productivity suites, particularly Microsoft 365 (Exchange, SharePoint, Teams).

• Infrastructure & Network Monitoring: Monitor the health of remote systems, including managing Windows Server, Synology NAS environments and configuring/troubleshooting FortiGate firewalls and VPNs.

• Server & Virtualization Maintenance: Support Windows Server environments (Active Directory, Domain Controllers) and manage virtualization platforms (VMware, Hyper-V).

• Backup & Disaster Recovery: Ensure data integrity by monitoring and executing backup routines using tools like Windows Backup, Synology Active Backup, Synology Hyper Backup, Veeam, and assisting in system recovery scenarios.

• Technical Operations & Computer Hygiene: Execute routine system audits, endpoint updates, and general computer hygiene tasks to ensure security compliance and optimal performance.

• Documentation & Automation: Maintain accurate technical logs, update standard operating procedures (SOPs), and assist in basic workflow automation.

Core Requirements

• Education: Diploma or Degree in Information Technology, Computer Science, or a related field.

• Experience: Minimum 2 to 4 years of proven experience in an IT Helpdesk, System Administration, or Remote Support role.

• Technical Competencies:

  • Strong proficiency in managing Windows Server environments and Microsoft 365 tenant administration.

  • Hands-on experience with network-attached storage (Synology preferred) and network security appliances (e.g., FortiGate).

  • Familiarity with virtualization technologies (VMware, Hyper-V) and backup solutions (Veeam).

  • Solid understanding of standard networking protocols (DNS, DHCP, TCP/IP, VPN).

• Soft Skills: Excellent problem-solving abilities with strong written and verbal communication skills to guide remote users effectively.

• Good to Have: Familiarity with scripting or workflow automation (e.g., Python, PHP, JavaScript, or Zoho Deluge) is a strong advantage.

• Position : Project Engineer
• Location : Tagore
• Working hours : Monday to Friday - 8.00AM to 5.00PM
• Salary (commensurate with experience) : Up to $4,500 + Attractive Incentives & Remuneration
• Duration : Permanent
• Industry : Industrial equipment supplier

Responsibilities:

• Manage engineering projects from commencement to completion, ensuring timely delivery within budget and contract requirements.
• Coordinate and liaise with internal teams, clients, vendors, and external stakeholders.
• Design and size equipment, and prepare layout drawings based on project requirements.
• Handle project costing, procurement, and supplier coordination.
• Monitor project schedules, budgets, and deliverables to ensure smooth execution.
• Support on-site equipment/system commissioning, start-up, and troubleshooting when required.

Requirements:

• Bachelor’s Degree in Mechanical Engineering or equivalent.
• Able to manage multiple projects concurrently in a fast-paced environment.
• Strong communication, coordination, and interpersonal skills.
• Good analytical, creative, and logical problem-solving abilities.
• Willing to travel when required.
• Experience in powder-processing systems or equipment will be an added advantage.
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to: jeslyn@searchpersonnel.com.sg

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

***We do not charge our candidates any referral fee nor bind them with any contract.***

Jeslyn Tan

Deputy Consulting Director (APAC)

Reg no.: R21101247 | EA No: 13C6684

Our shortlisting process takes 3 working days, and only shortlisted candidates will be contacted.

If you do not hear from us within this period, your application was not shortlisted. We encourage you to continue your job search, and we will contact you should a suitable opportunity arise. We wish you all the best.

• Position : Technical Sales Engineer
• Location : Tagore
• Working hours : Monday to Friday - 8.00AM to 5.00PM
• Salary (commensurate with experience) : Up to $4,500 + Attractive Incentives & Remuneration
• Duration : Permanent
• Industry : Industrial equipment supplier

Responsibilities:

• Support the sales team in reviewing technical enquiries and understanding client requirements/URS.
• Participate in and lead technical clarification meetings with clients.
• Provide process design, technical and application support, including process flow diagrams/flowsheets.
• Prepare costing, quotations, scope of supply, and technical specifications based on client requirements and budget.
• Prepare and deliver technical presentations to clients.
• Liaise with factories, suppliers, or overseas counterparts to obtain quotations and technical inputs.
• Work with draughtsman/design team on process flow diagrams, flowsheets, and layout drawings.

Requirements:

• Diploma/Degree in Mechanical, Mechatronic, Chemical Engineering or equivalent.
• Relevant experience in powder processing systems/equipment or engineering sales will be an advantage.
• No experience welcome too, training will be provided.
• Self-motivated, independent, and able to work in a dynamic environment.
• Strong interpersonal, communication, and presentation skills.
• Good team player with the ability to work independently.
• Willing to travel occasionally.
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to: jeslyn@searchpersonnel.com.sg

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

***We do not charge our candidates any referral fee nor bind them with any contract.***

Jeslyn Tan

Deputy Consulting Director (APAC)

Reg no.: R21101247 | EA No: 13C6684

Our shortlisting process takes 3 working days, and only shortlisted candidates will be contacted.

If you do not hear from us within this period, your application was not shortlisted. We encourage you to continue your job search, and we will contact you should a suitable opportunity arise. We wish you all the best.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Quantum-Engineering%29/33413-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Fellow to join our growing team developing next-generation electrical interfaces to diamond quantum sensors based on nitrogen-vacancy (NV) centers. The successful candidate will lead efforts to develop novel electrical readout, control, and sensing architectures that complement or potentially replace conventional optical detection methods.

The research will combine semiconductor device physics, quantum sensing, spin-dependent transport, and diamond electronics, with opportunities to explore hybrid platforms involving two-dimensional materials, field-effect devices, and advanced electrical detection techniques.

Key Responsibilities

•    Electrical interfaces for diamond quantum systems: Lead efforts to develop and optimize electrical approaches for detecting and controlling NV-center spin and charge states, including device design, fabrication, and characterization.
•    Semiconductor device architectures: Explore p-i-n, Schottky, field-effect, and related device structures for integrating diamond defects with electrical readout and control platforms.
•    Spin-dependent transport and recombination: Investigate spin-dependent electrical, optical, and recombination processes in diamond and related defect systems for quantum sensing applications.
•    Diamond–hybrid devices: Develop hybrid device architectures incorporating diamond with novel and/or CMOS-compatible materials, including graphene, silicon nitride, or other functional layers for electrical transduction.
•    Device modelling and simulation: Model carrier transport, charge-state dynamics, photoelectric processes, recombination pathways, and electrostatic device behaviour to guide experiments and optimize device performance.
•    Team collaboration and mentorship: Work closely with PhD students, research engineers, and undergraduate researchers while contributing to the growth of a multidisciplinary research programme.
•    Cross-disciplinary exploration: Engage with applications spanning quantum sensing, integrated electronics, semiconductor diagnostics, quantum materials, and bioelectronic sensing.

What We Offer
•    Opportunity to pioneer new approaches to electrical quantum sensing and spin-based technologies in diamond.
•    Access to state-of-the-art facilities for diamond characterization, device fabrication, optics, microwave engineering, and electrical measurements.
•    Freedom to pursue ambitious and innovative research directions at the intersection of quantum technology, semiconductor electronics, and advanced sensing.
•    Participation in building a new research programme from the ground up, with significant opportunities for intellectual leadership, technology development, and independent project ownership.
•    Strong emphasis on translation beyond academic publications, including the development of enabling technologies, prototype systems, intellectual property, and real-world sensing applications.
•    Opportunities to contribute to patent generation, technology commercialization, industry partnerships, and potential future spin-out ventures arising from the research.
•    Exposure to a broad range of application areas, including semiconductor diagnostics, advanced manufacturing, quantum instrumentation, materials characterization, healthcare technologies, and next-generation sensing systems.
•    Collaboration with experts across quantum sensing, nanofabrication, semiconductor devices, materials science, photonics, and engineering.
•    Strong support for publishing impactful research while simultaneously pursuing technologies that can deliver tangible scientific, industrial, and societal benefits.

Job Requirements

Job Requirements
•    PhD in Physics, Electrical Engineering, Materials Science, Applied Physics, or a closely related field.
•    Strong background in one or more of the following:
     o   Semiconductor device physics
     o   Quantum sensing or spin physics
     o   Diamond defects and color centers
     o   Electronic transport measurements
     o   Semiconductor characterization techniques
•    Experience with electrical device fabrication and characterization, including Schottky diodes, p-i-n structures, FETs, or related semiconductor devices.
•    Familiarity with low-noise electrical measurements, RF electronics, lock-in techniques, impedance spectroscopy, capacitance measurements, or microwave spin-resonance methods.
•    Experience with carrier transport simulations, semiconductor modelling, finite-element analysis, or device design tools is advantageous.
•    Knowledge of NV centers, spin-dependent recombination, charge-state physics, PDMR, ODMR, or related quantum defect systems is desirable but not strictly required.
•    Experience with graphene, hBN, other two-dimensional materials, or hybrid quantum-semiconductor devices would be highly advantageous.
•    Strong publication record, scientific communication skills, and ability to work independently while contributing effectively within a collaborative team.
•    Open to Fixed Term Contract.

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.

Singapore Headquarters | Permanent | On-Site

Company Overview

HOYA Electronics’ primary focus is on the development of optical and extreme ultraviolet (EUV) photomask blanks, which are critical components in the manufacturing process of the latest-generation chips used in various applications such as artificial intelligence, high-performance computing, and 5G, as well as the production of various memory, logic, and power devices.

Life at HOYA Electronics

HOYA strives to create innovations for a better future for people.

At HOYA Electronics, we are dedicated to innovation in the information technology segment, envisioning a world where all can thrive in harmony with nature. Our people are guided by our mission along with principles of commitment and innovation, which influence every decision and action we take. We prioritize environmental protection, safety, and human rights, fostering diversity, inclusion, and employee well-being.

Be Empowered to Innovate and Develop for a Better Tomorrow with Us

• Experience an empowering and inclusive workplace that fuels your growth and development
• Unlock your potential with abundant opportunities for skill-building and career advancement
• Thrive in an environment that supports work-life balance and values your well-being
• Receive fair and competitive rewards – your success is our success
• We believe in recognizing excellence and celebrating your contributions

Get to Know the Role

As a Quality Assurance (QA) Associate Engineer, you will be responsible for ensuring the quality of outgoing products within high-volume manufacturing environments, in alignment with specifications and quality standards. This role is essential in verifying that all products meet customer requirements, internal benchmarks, and regulatory obligations before shipment. You will also support quality assurance activities, maintain accurate documentation, and collaborate with cross-functional teams to uphold consistently high standards in product delivery.

Essential Responsibilities

• Inspect finished goods, ensuring compliance with customer and regulatory requirements
• Validate completeness and accuracy of outgoing documents, including reports and certificates of conformance
• Collaborate with other departments to ensure only compliant products are shipped
• Monitor outgoing quality metrics and support responses to internal and customer inquiries
• Assist engineers in quality initiatives and track the effectiveness of implemented actions

Other Responsibilities

• Participate in review and improvement of outgoing quality procedures and workflow

Skills and Competencies Profile

Required Qualifications:

• Bachelor’s Degree / Diploma in Engineering, Science, or a related field, fresh graduates may apply, OR
• 1 – 3 years of relevant working experience in the semiconductor industry, or prior experience in quality assurance, is preferred

Technical Skills:

• Proficient in Microsoft Office, specifically Excel

Soft Skills:

• Able to work independently with initiative and strong accountability
• Strong team player with excellent communication and problem-solving skills
• Attention to detail and familiarity with quality inspection procedures

Additional Information

• Willing to work in a 12-hour rotating day / night shift (4 working days / 3 rest days / 3 working days / 4 rest days)
• Able to work in a cleanroom environment and perform overtime as and when necessary

HOYA Electronics Singapore Pte Ltd is an equal opportunity employer. We are committed to building diverse teams and creating a safe and inclusive workplace that enables our people to perform at their best, regardless of nationality, ethnicity, religion, age, disability status, gender identity or sexual orientation, and other attributes that make every individual unique.

An offer with HOYA Electronics Singapore is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.

HOYA Electronics Singapore does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with HOYA Electronics Singapore.

Job Summary

The Institute of High Performance Computing (IHPC), A*STAR, was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

We are looking for a motivated and versatile individual to join the Healthcare team. The role will support the development, adoption, and continuous improvement of reusable AI assets and platforms through ecosystem engagement, platform operations, product thinking and practical UI/UX capability.

Research Engineer (Reusable Healthcare AI Assets)

The successful candidate will work closely with researchers, engineers, product owners, healthcare and public-sector stakeholders, and industry partners to identify user needs, translate them into actionable platform requirements, and drive the adoption of reusable AI assets. The role is suitable for someone who can engage stakeholders effectively, structure feedback into product and operational priorities, and contribute to simple, intuitive user journeys, wireframes, prototypes, dashboards, and documentation for AI platforms.

Requirements

• Experience in at least one of the following areas: AI/ML platform delivery, product or platform operations, technical project management, ecosystem or stakeholder engagement, developer relations, digital transformation, UI/UX design, or technology adoption.
• Working understanding of AI/ML systems, data-driven applications, software platforms, APIs, cloud environments, MLOps, or reusable software/assets. Deep research specialisation is not required, but the candidate must be comfortable working with technical teams.
• Ability to translate between domain needs, user pain points, operational constraints, and technical implementation requirements.
• Practical exposure to user research, journey mapping, wireframing, prototyping, usability testing, information architecture, or interface review.
• Strong written and verbal communication skills, with the ability to explain technical capabilities and trade-offs to both technical and non-technical audiences.
• Good planning, coordination, and stakeholder management skills, with the ability to manage multiple workstreams independently in a fast-moving environment.

Preferred qualifications (one or more of the following)

• Experience in healthcare, biomedical, public-sector, or regulated digital systems.
• Hands-on experience with UI/UX or prototyping tools such as Figma, Miro, FigJam, Balsamiq, or equivalent.
• Ability to build lightweight prototypes, demos, or dashboards using tools such as React, JavaScript/TypeScript, HTML/CSS, Streamlit, Gradio, Dash, Tableau, Power BI, or similar.
• Experience managing reusable asset catalogues, platform onboarding journeys, technical documentation portals, design systems, knowledge bases, or developer-facing resources.
• Familiarity with agile delivery and collaboration tools such as Jira, Confluence, Git, GitHub/GitLab, or equivalent.
• Awareness of responsible AI, model evaluation, AI safety, data privacy, cybersecurity, and governance considerations for AI systems.

Interested applicants should submit their curriculum vitae, together with a short cover note describing relevant experience in ecosystem engagement, platform operations, AI/ML systems, and UI/UX or product-related work. The level of appointment will be commensurate with experience.

For applicants, please send your curriculum vitae to Dr Ricardo Shirota Filho (ricardo_shirota_filho@a-star.edu.sg)

Job Summary

Job Purpose

The Knowledge Engineer will be responsible for designing, constructing, and maintaining knowledge graphs derived from heterogeneous enterprise documents. The role involves leveraging Large Language Models (LLMs) for knowledge extraction, ontology-driven structuring, and question answering over knowledge graphs to support intelligent search, reasoning, and decision-making systems.

Key Responsibilities

• Leverage LLMs to extract structured knowledge (entities, relations, attributes) from unstructured and semi-structured documents such as:Maintenance manualsProduct design documentsTroubleshooting guidesLessons learned reports
• Process documents in multiple formats, including Word, PDF, PowerPoint, and Excel.
• Design, construct, and maintain knowledge graphs, including:Schema and ontology designEntity and relationship modellingData normalisation and validation
• Implement and manage knowledge graph storage using graph databases such as Neo4j and GraphDB.
• Develop LLM-powered question answering and interaction pipelines over knowledge graphs, enabling:Natural language queriesContext-aware and explainable responses grounded in structured knowledge
• Collaborate with domain experts and stakeholders to refine ontologies, extraction logic, and use cases.

Required Skills & Experience

• Strong understanding of ontology design, knowledge graph modeling, and semantic data representation.
• Proficiency in Python, with experience building data processing and NLP pipelines.
• Solid understanding of prompt engineering and LLM-based workflows.
• Hands-on experience working with LLMs, including both:Closed-source models (e.g., GPT-based APIs)Open-source models (e.g., LLaMA, Qwen, etc.)
• Experience with graph databases, particularly Neo4j and/or GraphDB.

Preferred / Advantageous Skills

• Experience in information extraction, document understanding, or NLP pipelines.
• Familiarity with RDF, OWL, SPARQL, or Cypher is a plus.
• Experience integrating LLMs with structured knowledge sources (e.g., KG-augmented QA, RAG with graphs).

Key Competencies & Attributes

• Strong analytical and problem-solving skills, with the ability to translate unstructured information into well-defined data models.
• Ability to work independently while collaborating effectively within a multidisciplinary team.
• Good communication skills to engage with technical and non-technical stakeholders.
• Demonstrated willingness to continuously learn and keep up with advances in LLMs, NLP, and knowledge engineering.

Company Overview

HOYA Electronics focuses on developing optical and extreme ultraviolet (EUV) photomask blanks essential for manufacturing advanced chips used in AI, high-performance computing, 5G, memory, logic, and power devices.

Job Summary

The Application Engineering Technician supports engineers to ensure customer satisfaction, product compliance, and timely resolution of quality issues by collaborating across departments and assisting with new product launches and customer concerns.

Responsibilities

• Receive and accurately log customer complaints to maintain complete records for quality tracking
• Support daily customer quality operations by managing feedback and inquiries promptly
• Assist engineers in performing initial containment actions such as identifying risky products and coordinating rework
• Collaborate with Application Engineering and Quality Assurance Engineers to support root cause investigations
• Prepare 8D reports and document corrective and preventive actions to address quality issues
• Follow up on open quality issues to ensure timely resolution and closure
• Assist in preparing customer quality reports, including defect trends and statistical process control (SPC) data
• Monitor quality trends and report non-conformances to engineers for further action
• Support engineers during customer visits by preparing and delivering required data and samples
• Coordinate testing and assessment of engineering samples to support product evaluation

Required competencies and certifications

• NITEC or Diploma in any Engineering field, or equivalent
• Ability to work in a cleanroom environment and perform overtime as needed

Preferred competencies and qualifications

• 1 to 2 years of relevant semiconductor industry experience or related roles
• Proficiency in Microsoft Office, specifically Excel, to manage data and reports
• Basic knowledge of statistical or quality tools for quality analysis
• Experience in quality documentation and organized record keeping
• Strong communication skills to effectively collaborate with cross-functional teams
• Problem-solving skills to support investigations and corrective actions
• Ability to work independently and as part of a team

Other Information

• Office hour position
• Able to work in a cleanroom environment and perform overtime as and when necessary

HOYA Electronics Singapore Pte Ltd is an equal opportunity employer committed to diversity and inclusion. We do not charge candidates any recruitment fees or unlawful payments for employment consideration.

• 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

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**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.

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.