Total 559 Engineering job vacancies in George Town

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.

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)

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.

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.

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Qualifications

Job responsibilities

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Share in-depth Google Cloud expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
• Lead prospecting and acquisition of new logos, creating and building customer relationships from scratch, and establishing yourself as a trusted advisor on their long-term technology and business decisions. 

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience with cloud native architecture in a customer-facing or support role.
• Ability to communicate in English and Vietnamese fluently to engage with clients in the region.

Preferred qualifications

• Experience working with, and passion for, the small medium business and startup ecosystem.
• Experience prospecting, building and maintaining new customer relationships from scratch, with excitement for building out greenfield territories.
• Understanding of common systems management concepts such as image management, patching, automated deployment, etc.
• Understanding of security concepts such as encryption, identity management, access control, attack vectors, and pen testing.

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Research Engineer to develop and deploy advanced AI systems that translate cutting-edge research into scalable real-world applications.

The successful candidate will work closely with research scientists to implement, optimize, and operationalize AI models across healthcare and biomedical domains. This role combines software engineering, machine learning, and systems engineering to bridge the gap between research and deployment.

Key Responsibilities

AI System Development

• Design, develop, and maintain machine learning and deep learning systems.
• Implement state-of-the-art AI algorithms from research prototypes into production-quality software.
• Build scalable data processing and model training pipelines.
• Develop multimodal AI systems integrating text, image, video, sensor, and structured data.
• Optimize model training, inference, and deployment workflows.

Research Translation

• Collaborate with AI researchers to translate novel algorithms into robust software solutions.
• Reproduce and benchmark research models.
• Develop reusable AI frameworks, libraries, and tools.
• Support experimentation, model evaluation, and performance optimization.

Software & Infrastructure Engineering

• Design scalable cloud and on-premise AI infrastructure.
• Develop APIs, backend services, and model-serving platforms.
• Implement automated testing, monitoring, and CI/CD pipelines.
• Support large-scale distributed training and inference systems.

Deployment & Integration

• Deploy AI solutions into healthcare, scientific, and enterprise environments.
• Integrate AI systems with operational workflows and external platforms.
• Develop monitoring tools for model performance and reliability.
• Support technology transfer and production deployment activities.

Requirements

Essential

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or related disciplines.
• Strong programming skills in Python.
• Experience with PyTorch, TensorFlow, or similar machine learning frameworks.
• Experience in software engineering best practices.
• Familiarity with Linux, Git, and software development workflows.
• Strong problem-solving and system design skills.

Preferred

• Experience with:Large Language ModelsMultimodal AIComputer VisionMLOps platformsCloud Computing (AWS, Azure, GCP)Containerization (Docker, Kubernetes)Distributed ComputingGPU Computing

What We Offer

• Opportunity to work on cutting-edge AI technologies with real-world impact.
• Access to world-class computational infrastructure and research facilities.
• Collaboration with leading researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting innovation, learning, and career growth.

ITEngineer (Drone Manufacturing Company)

Job Overview

We are seeking a practical and hands-on Cyber SecurityManager to support and manage the company’s cybersecurity and IT securityoperations within a drone manufacturing environment. The role will focus onmaintaining secure day-to-day IT operations, protecting company systems andengineering data, implementing basic cybersecurity measures, and supportingoverall information security practices.

The ideal candidate should have a strong understanding ofcybersecurity fundamentals, network security, and IT infrastructure, with theability to independently manage operational cybersecurity matters in a small tomid-sized company environment.

Key Responsibilities

Cybersecurity & IT Security

• Maintain and monitor cybersecurity systems including antivirus, endpoint protection, firewalls, VPN access, and email security systems.
• Monitor company networks and systems for suspicious activities, security risks, and unauthorized access.
• Perform regular system updates, security patching, password management, and user access control administration.
• Support implementation of cybersecurity policies, procedures, and best practices across the company.
• Assist in conducting basic vulnerability checks and coordinate remediation of identified issues.
• Ensure company data, engineering files, and confidential information are securely stored and protected.

Incident Response & Compliance

• Assist in investigating and responding to cybersecurity incidents, malware infections, phishing attempts, or security breaches.
• Maintain cybersecurity logs, asset inventories, and security-related documentation.
• Support backup management and basic disaster recovery procedures.
• Assist in ensuring compliance with internal IT security requirements and operational procedures.

User Support & Awareness

• Provide basic cybersecurity guidance and support to employees on safe IT practices.
• Conduct cybersecurity awareness briefings and help enforce IT usage policies.
• Work closely with the IT team, engineering, and operations departments to address security-related concerns.

Vendor & System Coordination

• Coordinate with external IT vendors or cybersecurity service providers when required.
• Support setup and maintenance of secure systems for office and manufacturing operations.

Mandatory Requirements

Educational Background

• Diploma or Degree in Cybersecurity, Information Technology, Computer Science, or related field.

Mandatory Experience

• Minimum 3 years of relevant experience in cybersecurity, IT security, or IT infrastructure support.
• Experience with basic cybersecurity tools such as firewalls, antivirus systems, VPNs, endpoint protection, and access management.
• Familiarity with Windows-based IT environments, networking, and system administration.
• Basic understanding of cybersecurity risks, incident response, and security best practices.
• Due to security risks, only Singaporean Citizens may apply and high security clearance will be required.

Job Description

We are looking for an experienced Network Engineer to manage, maintain, and support enterprise IT infrastructure across AIX, Linux, VMware, AWS, and database environments. The role will involve server administration, cloud infrastructure support, virtualization management, system monitoring, backup and recovery, performance tuning, and troubleshooting of infrastructure-related issues.

The successful candidate will be responsible for ensuring system availability, security, performance, and reliability across on-premise and cloud environments.

Key Responsibilities

Manage and administer AIX and Linux servers, including installation, configuration, upgrades, patching, migration, and maintenance.

Support enterprise server environments running on IBM AIX, RHEL, CentOS, Ubuntu, and related platforms.

Administer VMware ESXi and vCenter environments, including VM creation, cloning, templates, snapshots, vMotion, HA, and resource configuration.

Perform daily server health checks, monitoring of CPU, memory, disk, network, and system performance.

Troubleshoot server, operating system, network, hardware, and virtualization-related issues within agreed SLA timelines.

Manage user accounts, groups, permissions, file systems, security settings, and access controls.

Configure and manage LVM, NFS, Samba, LDAP, cron jobs, Apache, and other Linux/AIX services.

Perform backup, restore, disaster recovery, root password recovery, boot issue troubleshooting, and disk replacement activities.

Administer IBM Power Systems, including HMC, LPAR, DLPAR, VIO Server, SEA, MPIO, and NIM configuration.

Support AWS cloud infrastructure, including EC2, S3, IAM, VPC, RDS, CloudWatch, Route 53, EFS, security groups, Auto Scaling, and Load Balancers.

Create and manage AWS accounts, IAM access, EC2 instances, storage volumes, snapshots, backups, and cloud monitoring alerts.

Implement AWS security best practices using IAM, KMS, GuardDuty, AWS Shield, and related services.

Support cloud migration, cost optimization, automation, and high-availability cloud infrastructure.

Install, configure, and administer MySQL, MariaDB, Percona, PostgreSQL, Redis, and MongoDB in Linux environments.

Manage database users, schemas, backup jobs, replication, alerts, slow query settings, and database troubleshooting.

Support SAN storage administration, including LUN creation, expansion, mapping to ESXi, and health monitoring.

Use monitoring tools such as Nagios, Zabbix, Grafana, Cacti, and LPAR2RRD to track infrastructure health and performance.

Create scripts using Shell scripting, Bash, Korn shell, and Ansible playbooks to automate routine administration tasks.

Coordinate with internal teams, vendors, and support engineers for issue resolution, system maintenance, and infrastructure improvements.

Job Requirements

Diploma or Degree in Information Technology, Computer Science, Engineering, or related discipline.

Minimum 8 to 10 years of experience in system administration, infrastructure support, or related IT operations role.

Strong hands-on experience in AIX and Linux system administration.

Experience with Linux distributions such as RHEL, CentOS, and Ubuntu.

Good knowledge of VMware ESXi, vCenter, VM templates, cloning, snapshots, vMotion, and HA.

Hands-on experience with AWS cloud services, including EC2, S3, IAM, VPC, RDS, CloudWatch, Route 53, EFS, Load Balancers, and Auto Scaling.

Experience in server build, migration, upgrade, patching, monitoring, backup, and recovery.

Knowledge of IBM Power Systems, including HMC, LPAR, DLPAR, VIO, SEA, MPIO, and NIM will be advantageous.

Experience in MySQL, MariaDB, Percona, PostgreSQL, Redis, or MongoDB administration.

Knowledge of SAN storage, LUN mapping, ESXi storage connectivity, and storage health monitoring.

Familiar with monitoring tools such as Nagios, Zabbix, Grafana, Cacti, or LPAR2RRD.

Able to troubleshoot hardware, OS, network, storage, database, cloud, and virtualization issues.

Experience with automation tools such as Shell scripting and Ansible.

Good understanding of IT security, access control, backup strategy, disaster recovery, and system performance tuning.

Ability to work independently and as part of a team in a fast-paced environment.

Good communication, documentation, analytical, and problem-solving skills.

Professional certifications such as IBM Certified System p Administrator AIX, ITIL, AWS, Linux, or VMware certifications will be an advantage.

What you will do:

• Overall responsibility to overlook site installation in terms of quality, technical compliance and meeting project schedule and works safety.

How you will do it:

• Handle day to day operation, project delivery and logistics, construction sequence and constructability

• To manage, control and supervisor subcontractors/vendors performing the works on site to ensure it meet quality & schedule requirements and installed items are as per approved drawings and design intent.

• Support during testing and balancing

• Meeting up with clients to manage complains and issues on site, variation order scopes etc.

• Material incoming receipt, quantity and quality checking and inspection

• Co-ordinate with client representative and QA/QC staff pertaining to Validation activities where required.

What we look for:

• Relevant qualification preferably in mechanical engineering

• Minimum 3 years working experience in Semiconductor construction project, particularly in HVAC Wet/Dry or Process Exhaust

• Extensive project execution experience/know how

• Oversee permit applicant process

• Committed to complete given tasks on time, ability to work independently and taking ownerships and responsibilities on tasks that had been assigned to you.

• Self-motivated and open minded with passion to challenge status quo and drive for continuous improvement

• Process good communication and interpersonal skills

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

The position requires engineer to carry out tasks related to the support of broadcast and broadcast IT related equipment and systems, including activities such as manning of support hotline, system diagnosis, remediation and monitoring, system administration, patching and preventive maintenance. In addition, the position is required also to support the planning and implementation of broadcast IT system projects.

• Provide technical support to broadcast equipment and systems in News Studios & News Post Production and asset management system, Outside Broadcast production van, News Room Computer System and etc.
• Document, communicate, collaborate, and handle fault incidents
• Assess system vulnerabilities and provide guidance, remediate and mitigate any reliability and security risks
• Perform troubleshooting and repair of broadcast equipment and system.
• Perform preventive and corrective maintenance broadcast and IT equipment.
• Work with different business units to provide technical solutions to enhance existing operation and setup
• Evaluate and recommend new broadcast IT equipment and system.
• Support project implementation of broadcast IT system and infrastructures including the support in drafting of technical specifications and costings documentations.
• Perform shift and standby duty to support broadcast system and infrastructures.

• Degree in Information Technology, Information Systems, IT Security or equivalent. CCNA, Certification in Information Technology networking field is an advantage.
• Candidate without the required academic qualifications but with at least 3 years of relevant experience in IT, Broadcast or Media Production related field are welcome to apply.
• Microsoft certifications such as MCSA preferred
• Project management experience preferred.
• Basic understanding of cloud / enterprise system architecture
• Network troubleshooting skills of IT devices maintenance and experience with management and configuration of networking devices (switches, routers, firewalls) will be preferred.
• Perform shift and standby duty to support broadcast system and infrastructures.

My Client:

My client is a global technology company focused on advanced semiconductor and high-performance computing systems. The engineering team is dedicated to building next-generation ASIC solutions across advanced process nodes, supporting large-scale compute-intensive applications.The team operates in a highly technical and fast-paced environment, with strong emphasis on physical implementation, performance optimization, and full-chip delivery. They are currently expanding their physical design team to support growing project demands across advanced nodes.

Job Responsibilities:

• Perform end-to-end physical design implementation from netlist to GDSII for advanced ASIC projects.
• Work on key stages including floorplanning, power planning, placement, clock tree synthesis (CTS), routing, and optimization.
• Drive timing closure across MMMC scenarios, including setup/hold fixing, clock optimization, and ECO implementation.
• Conduct physical verification and signoff tasks (DRC, LVS, IR drop, EM analysis) to ensure tape-out readiness.
• Optimize power, performance, and area (PPA) through iterative design improvements.
• Collaborate closely with front-end design, DFT, and signoff teams to resolve integration and late-stage issues.
• Contribute to design methodology improvements and automation through scripting and tooling enhancements.

Job Requirements:

• Bachelor’s degree or above in Microelectronics, Electronic Engineering, or related fields.
• Understanding of physical design flow and IC development process.
• Familiarity with PnR tools such as ICC2, Fusion Compiler, or Innovus.
• Knowledge of timing analysis, power optimization, and physical verification concepts.
• Basic scripting skills (TCL / Python / Shell) for automation is a plus.
• Strong learning ability and willingness to work in advanced technology environments.

What They Offer:

• Opportunity to work on cutting-edge semiconductor projects at advanced technology nodes.
• Exposure to full-chip design flow and large-scale ASIC development.
• Competitive compensation and long-term growth opportunities.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

www.dadaconsultants.com

EA Registration Number: R2197058

Business Registration Number: 201735941W. Licence Number: 18S9037

We are seeking an experienced Lead Engineer-Water Solutions / Testing & Commissioning to lead the testing, pre-commissioning, commissioning, and start-up of Ultra Pure Water (UPW) systems for high purity applications in semiconductor and advanced manufacturing environments.

Key Responsibilities:

• Develop and execute commissioning procedures, test plans, and protocols for UPW systems

• Perform pre-commissioning activities (flushing, hydrotesting, leak testing, chemical cleaning)

• Conduct functional testing for systems including RO, EDI, ion exchange, UV, degasification, and ultrafiltration

• Validate system performance against design specifications and client requirements

• Troubleshoot issues and support system start-up and handover

• Prepare commissioning documentation and reports

Requirements:

• Degree in Chemical, Mechanical, or Environmental Engineering

• At least 10 to 15 years of experience in UPW systems or advanced water treatment

• Hands-on commissioning experience for large-scale UPW plants

• Strong knowledge of RO, EDI, mixed bed, and polishing loop systems

• Familiar with SEMI standards and high-purity system design

Preferred Skills:

• Experience in semiconductor fab utilities (UPW, WWT, reclaim)

• Knowledge of water quality parameters (TOC, resistivity, conductivity, silica)

• Familiarity with PLC/SCADA systems

• Ability to read P&IDs and engineering drawings

Job description

Work directly with the technical director to develop electrical and electronic systems for inspection tools and other products

Design, build and test electrical, electronics, sensors and other systems for performance

Analyse designs and prototypes, to account for tolerance, precision, to meet specification requirements.

Work with other team members to integrate electronic designs onto practical systems with optical and mechanical systems.

Requirements

Master’s/PhD in electronic engineering or related disciplines with relevant experience in programming, EDA, FPGA, etc.

Ability to use commercial softwares to design and optimise electronic systems, ensuring that designs work according to specifications

Strong fundamental knowledge in electronics and relevant technologies such as optical sensors. Knowledge in other relevant disciplines such as physics, chemistry, material science etc. is a plus.

Capable and willing to design, build and test complex electronic setups from proof of concept to implementation on products.

Must have experience in setting up, troubleshooting and optimising electronic systems.

Must be an exceptional team player, willing to go the extra mile for high performing teams.

Must have adaptability to solve difficult problems with like minded team members.

At least 2 years of relevant working experience

Leadtop Technology Pte Ltd is a chip design company based in Singapore. The Company has strong R&D capabilities and the core technical team members all have numerous years of experience in the semiconductor industry. We have rich industry experience and deep practical accumulation in IC design and business management.

Job Description:

1. Works with the front-end design team to complete the chip floorplan , clock architecture, and powerplan .

2. Takes charge of the physical design tasks from the Netlist to the GDSII, including P&R, formal verification, static timing analysis, physical verification, power analysis, design for reliability and tapeout.

3.Researches the physical design methodology of advanced process nodes, and improvise the automatic physical design platform.

Position Requirements:

1. Holds a bachelor's degree or above in electronic engineering, microelectronics, or computer science.

2. At least 5 years of work experience in the digital backend design field. Hands-on project experience is required. Tapeout experience at advanced technology is preferred.

3. Those with experience in TCL , Perl or Python script development and familiar with EDA tool design will be a plus.

4. Strong communication ability, good confidence and self-motivated, good teamwork spirit.

5. Salary is negotiable for excellent candidates.