Total 411 structural engineer job vacancies in George Town

As a Senior IT Engineer , you will be responsible for managing and ensuring the stability, availability, and performance of the organization’s enterprise IT infrastructure, with a focus on systems, storage, backup, and disaster recovery operations.

• Manage and support enterprise IT infrastructure, including Windows/Linux servers and virtualization platforms (VMware / Hyper-V)
• Administer, configure, and maintain storage environments (SAN / NAS), including provisioning, monitoring, performance tuning, and capacity management
• Manage enterprise backup solutions such as Veeam, Commvault, or Veritas NetBackup
• Monitor backup jobs, investigate and resolve failures, and perform regular restore testing and recovery validation to ensure data integrity
• Support disaster recovery (DR) operations, including replication setup, failover/failback execution, and periodic DR drills/testing
• Ensure adherence to defined RPO (Recovery Point Objective) and RTO (Recovery Time Objective) targets, as well as data protection and compliance standards
• Perform proactive infrastructure monitoring, system health checks, patch management, and preventive maintenance activities
• Participate in incident management, troubleshoot infrastructure issues, and ensure timely resolution with minimal business impact
• Conduct root cause analysis (RCA) for major incidents and implement corrective and preventive actions (CAPA)
• Coordinate with internal IT teams, vendors, and external clients for support, escalation handling, and project implementation
• Maintain accurate and up-to-date technical documentation, operational runbooks, backup reports, and infrastructure records
• Support infrastructure optimization initiatives, including performance improvements, automation opportunities, and capacity planning
• Provide escalation support for complex technical issues beyond L2/L3 operational teams (Senior Engineer responsibility layer)

About the Team:

As part of the Search, Recommendation, Ads (Engineering & Architecture) team, We build and operate the search engine that powers retrieval and ranking across the company. The system is built on Vespa (a ~1.7M-line C++/Java codebase) and runs at scale across hundreds of nodes. Our work spans the full stack: cluster orchestration, HNSW-based vector indexing, rank expression evaluation, capacity planning, and the developer tooling that keeps all of it shippable. We care a lot about correctness, latency tails, and operational simplicity.

Job Description:

• Design, implement, and operate components of the search engine — indexing, query execution, ranking, or storage using C++

• Improve indexing and retrieval performance: SIMD-friendly data layouts, cache-aware algorithms, lock contention

• Extend vector search capabilities (HNSW and beyond) and integrate them cleanly with traditional inverted-index retrieval

• Build tooling and automation that makes the team faster — capacity models, fault-injection tests, deployment checks, AI-assisted workflows

• Participate in design reviews, code reviews, and on-call rotation

Job Requirements:

• Bachelor's Degree or higher in Computer Science or related field

• At least 5 years of full time backend development experience using C++/Go/Python

• Experience working on Vespa Search Engine is preferred

• Familiarity with vector search and ANN algorithms (HNSW, IVF, PQ).

• Solid foundation in data structures, algorithms, and systems. You can reason about cache behavior, memory layout, and concurrency..

• Experience operating non-trivial services in production: profiling, debugging core dumps, reading flamegraphs, tracing distributed requests.

• Comfortable working in a large existing codebase. 

• Strong written communication. You write design docs and PR descriptions that the next on-call can actually use.

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

As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within partners for our customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke and scalable agentic solutions directly with our partners, for and within the customer’s environment. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with strategic partners, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical connector and feedback loop for the partner to Google, transforming real-world field and partner insights into Google Cloud’s future product roadmap. You will serve as the agent engineer bridging the gap between AI prototypes and production-grade reality for our strategic AI partners and their own FDE teams.

Qualifications

Job responsibilities

• Serve as a team lead and developer within the strategic AI partner for complex AI applications, working with the partner’s own teams to transition from rapid prototypes to production-grade, replicable agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment (ROI).
• Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet rigorous requirements for accuracy, safety, and latency.
• Identify repeatable partner and field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Co-build with a strategic AI partner’s forward deployed engineering teams to instill Google-grade development best practices.
• Help partners to build their own agentic delivery capabilities to set them up for long term success, focusing on the ROI at customer engagements ensuring customer activation.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Experience leading technical discovery sessions with customers.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Knowledge of Large Language Model native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

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

Job description

Work directly with the technical director to develop efficient algorithms for machines

Design, build and test computing systems for speed and performance

Derive computation methods with portable code for integration on complex systems, taking into consideration hardware used

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

Requirements

Degree/Master’s/PhD in computer science or related disciplines with relevant experience in programming, EDA, FPGA, etc.

Ability to code in C. Hardware optimisation for computations is a plus.

Ability to understand equations and solution methods to implement on complex systems

Understand how to apply AI and machine learning algorithms to practical problems

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.

Fresh graduates welcome.

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.

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)

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.

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

What you will do:

The Senior Application Engineer is responsible for technical support – primarily customer quotations and business development case studies for various composite applications. Key emphasis will be on the ability to understand customer requirements and rapidly demonstrate how composite based solutions can be utilized to provide solutions with costing, timing, and resources included in the proposals. This position will require travel with the business development team to customer facilities during visits to discuss these future opportunities in depth.

How you will do it:

• Provides customer support by responding to requests for technical queries with detailed analysis of building management system, schedule of creation, tooling costing, and submittal of design and process improvements, when applicable, to meet all customer product needs.
• Works with engineering, sales, and ops staff to understand standard component fabrication techniques, standard composite materials to use, and current demands of our customers to formulate design details for the sales staff and our customers.
• Provides product technical engineering information by creating and giving presentations on customer proposals. This contains, but is not limited to, 3D representations of finished goods, 3D representations of tooling, etc.
• Prepares cost estimates by studying blueprints, plans, and related customer documents; consulting with engineers, and other professional and technical personnel.
• Conceptual design of composite components and assemblies to support proposals
• Generate solid and surface component and assembly CAD models
• Ability to compose detailed bill of materials for proposals
• Work as part of a team of design and engineering and ops staff
• Knowledge of ACMV and controls associate with Johnson Control Metasys will be an advantage

What we look for:

• Bachelor's Degree in Process & Instrumentation Engineering, Electrical Engineering with minimum 7 years relevant working experience
• Possess knowledge in PLC programming. Pcvue or ICONICS software
• Transportation composite or other composite experience preferred
• Willing to learn new things
  Require interaction with clients, consultants and sub-contractors, etc.

Job Summary

Support electronic lab activities in a Research & Development environment by fabricating and inspecting cable assemblies, performing re-work, documenting records, and assisting with assembly and functional checks.

Responsibilities

• Fabricate cable assemblies following IPC standards to ensure quality and compliance
• Inspect cable assemblies to verify adherence to IPC quality standards
• Perform re-work on cable assemblies as needed to meet quality requirements
• Document fabrication and inspection records accurately for traceability
• Assist with general electronic lab activities including assembly, functional checks, and re-work to support R&D projects
• Participate in on-the-job training and apply learned skills to improve lab processes

Preferred competencies and qualifications

• Basic spoken Mandarin to facilitate communication within the team
• Fresh NITEC or diploma holders are encouraged to apply

Other Information

• Work location: One North/Buona Vista Area
• Regular working hours with attractive remuneration
• Immediate opening

• Responsible for project follow-up and technical support for projects;
• Preparation for project delivery, including scheme review and test verification to ensure the project solution can be stably implemented;
• On-site delivery and implementation of the project;
• Handling and resolving product and system-level issues of the project;
• Recording the project delivery process, organizing project documents, and producing a project summary report after completion;
• Participating in project acceptance and presentation, demonstrating the project’s effects and functions to ensure successful acceptance.

Requirements:

• Bachelor’s degree or above in Computer Science, Communications, Electronics, or related fields, with fluent English in listening, speaking, reading, and writing;
• More than one year of experience in project technical support, with familiarity in network communication technology preferred;
• Excellent communication skills and service orientation, meticulous and detail-oriented work attitude, hardworking and resilient;
• Strong documentation writing skills.

Job scope:

• Provide technical and after-sales service for Endoscopy equipment in local hospitals.
• Oversee installation of equipment according to specifications.
• Provide basic user training for equipment installed and coordinate with customers and site preparation of Endoscopy equipment.
• Analyze malfunctions.
• Consult engineering supervisor to resolve problems.
• Propose and advise customers in sign-ups of service contract.
• Perform servicing, repairing, and Preventive Maintenance for Endoscopy equipment under Maintenance contract
• Prepare site for installation of new Endoscopy Medical equipment, coordinating with customers.
• Support Sales and Marketing team in promotion of accessories and stand-in cases for endoscopy procedures to better understand the use and customer’s feedback.

Job Requirement:

• Diploma in Biomedical, Electrical, Electronic, or Mechanical Engineering, or equivalent.

• 0-2 years of related field service experience. Fresh graduate is acceptable.

• Technical Skills:
  - Device Troubleshooting: Ability to diagnose and repair multi-symptom hardware and software issues on complex electro-medical devices.
  - Calibration & Preventive Maintenance (PM): Expertise in following strict biomedical Standard Operating Procedures (SOPs) to guarantee device safety, compliance, and accuracy.
  - Network/ IT Integration: Understanding of hospital networking systems to ensure medical devices communicate seamlessly with electronic health records.

• Soft Skills:
  - Customer-Facing Communication: Must act as the face of service excellence, routinely interacting with doctors, nurses, and hospital biomedical teams.
  - High-Pressure Adaptability: Capacity to prioritise service effectively to minimize equipment downtime and ensure optimal patient care.
  - Physical& Availability Requirements: Must be physically capable of lifting equipment, willing to be on-call for after office hour or weekend duty
  
• Good communication and problem-solving abilities when collaborating with both internal teams and external stakeholders.
  
• Able to work independently and is detailed-oriented.
  
• Able to attend to breakdown after office hours or stand-in cases on weekends.

Company Overview

Our company specializes in precision manufacturing and modular assembly for global high-end industries. With additional operations in Malaysia and China, we deliver reliable and scalable solutions to international clients.

Our core expertise covers MedTech, Aerospace, and Semiconductor sectors. We provide end-to-end services ranging from structural components machining, sheet metal fabrication, to full-system integration and OEM/ODM solutions. Over the years, we have built strong partnerships with leading global clients, recognized for our commitment to consistent quality, on-time delivery, and cross-border collaboration.

Job Summary

Drive business growth by developing sheet metal and machining clients across Singapore and Southeast Asia, delivering technical solutions and maintaining strong client relationships to achieve sales targets.

Responsibilities

• Identify and develop new sheet metal and machining clients in Singapore and Southeast Asia to achieve defined sales targets
• Gather and analyze Singapore market information, industry trends, and competitor activities to inform strategic business decisions
• Respond to client inquiries by preparing accurate quotations and communicating technical proposals to support sales conversion
• Maintain and strengthen client relationships through timely follow-up on orders and feedback to ensure customer satisfaction
• Collaborate with engineering and quality teams to verify technical compliance and resolve client requirements effectively
• Support industry exhibitions and brand promotion activities in Singapore to enhance company visibility and market presence

Preferred competencies and qualifications

• Diploma or Bachelor's degree in Mechanical Engineering or related field preferred
• 1-3 years of business development experience in sheet metal or machining within Singapore manufacturing sector preferred
• Proficient understanding of sheet metal processes and Singapore industry standards preferred
• Effective communication and negotiation skills to manage client interactions and handle pressure situations preferred
• Basic ability to read technical drawings is an advantage
• Fluency in English is required; Mandarin proficiency is preferred to facilitate communication with Chinese-speaking stakeholders and colleagues in China