Total 4,939 failure analysis engineer job vacancies in Engineering category in Hong Kong

Job Description

• Responsible for integration and implementation of both hardware and software engineering work
• Carry out proper planning, execution and supervision of the integration work and do QA technical checks throughout the project execution
• Handle application programme change management, hardware deployment management and documentation
• Implementation of PLC/SCADA project from concept to design and programming
• Interface with SCADA and PLC programming
• Meeting with clients, doing reports and documentation
• Perform troubleshoot independently

Requirements

• Min Nitec in Mechatronics, Electrical or Electronics
• Possess a Singapore Class 3 or 3A Driving License
• knowledge in PLC and SCADA

To submit your application, please apply online apply@rn-care.com or call +(65) 6514 9838 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Jon Description:-
Design of detailed piping arrangement for Pharma plant and systems, including generate isometric drawing, piping support drawing and BOM (bill-of-materials).

Prepare and design equipment layout for complete plant and modular skid, PFD (Process Flow Diagram) and PID (Piping and Instrumentation Diagram), and other equipment outline drawings as well as EICA drawings.

Co-ordinate and interface with process, instrument, civil and equipment suppliers.

Prepare piping specifications, technical specifications, or data sheets for the purchase of piping components.

Clarification and evaluation of vendor quotations.

Onsite support during project execution stage.

Prepare and update as-built drawings.

Sizing and selection of equipment, piping, fittings and etc.

Other ad-hoc works as assigned.




Requirements:-
Diploma/Degree holders in Mechanical Engineering or relevant field

Proficient with software CADWorx

Preferably 3 years relevant working experience in similar industry

Able to work with all levels of workforce

Self-motivated and team player

Excellent interpersonal and communication skill

Job Description:

• In charge of developing and implementing new optic / illumination components/system
• Responsible for designing and developing automated visual inspection systems for a full range of semiconductor equipment. 
• In charge of resolving existing optical/illumination issues within the equipment.
• Identify necessary and desirable improvements for vision optical system performance.

Job Requirement:

• Minimum Degree in Optics Engineering, Physics, Photonics, or a related field is required.
• Minimum with 5 year working experience in optical design software, alignment, testing, and high magnification optics.
• Knowledge of LED illumination systems, lenses, specifications, design trade-offs, and basic optics modeling techniques
• Experience in 2D drawing

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

The junior engineer is report to a design engineer and assisting the engineer to complete the production drawings, to develop from concept to detailing. Thereafter, the junior engineer will follow through the project from project time schedule, ITP and liaise with customer for the FAT and SAT.

The drawings are the main line of communication to our production foreman welders, and quality department to fabricate all deck machinery.

Required Skill Sets

· Proficient in AutoCAD / Solidwork to develop fabrication drawings

· Diploma or equivalent education and experience in any discipline

· Fresh diploma holder during the keystone project involve in design and hand on process to the products or during the internship in engineering firm is encourage to apply the post.

· Must have basic computer skills. (Word, Excel, Record-keeping software, Outlook, etc.)

· Ability to organize and prioritize work load

Department Overview:

The Intl AI CoE plays a key role in defining and implementing the firm's AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture.

Role Description:

• Information delivery & analytics. State-of-the-art expertise across, Large Language Model (LLM) Integration, prompt engineering strategies and templates, retrieval-augmented generation (RAG) and agentic system etc.
• AI Ops. Responsible for integration, deployment and monitoring of Generative AI products and solutions. Enabling data architecture and delivery of data-analytics AI platforms and Solutions- on-premises, cloud, and hybrid ensuring adherence and conformance to Nomura standards and policies
• Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
• Risk Mindset: Familiar with risk and controls frameworks and ability to operate with a control mindset

Skills, experience, qualifications, and knowledge required:

Core Skills requirement:

• Proven experience in designing and developing AI agents or chatbots using Large Language Models (LLM), RAG, and agentic frameworks.
• Hands-on experience in building context-aware dialogue systems with multi-turn conversation management features.
• Demonstrated experience in developing and maintaining APIs and SDKs for integration of Generative AI services.
• Experience in developing and deploying scalable, fault-tolerant microservices and server-side APIs using modern frameworks and best practices.
• Proven experience in deployment automation using CI/CD pipelines (e.g., Jenkins, GitLab) and applying DevOps methodologies and enterprise integration standards.
• Proficiency in programming languages such as Python, SQL, and Unix scripting for AI and data processing workflows.
• Experience with cloud technologies such as AWS EC2, EMR or similar tools with ability to drive design and data model discussions, hybrid data architecture.
• Proficiency in React with hands-on experience in UI development a plus.
• Experience collaborating with global and cross-functional teams across different regions and time zones to deliver AI solutions.
• Demonstrated ability to manage multiple concurrent AI projects and meet delivery timelines in dynamic environments.
• Experience managing stakeholder expectations of senior management.
• Proficiency in written and verbal communication skills, including the ability to document and present complex concepts.
• Demonstrated analytical skills to assess technical problems, evaluate data-driven insights, and recommend actionable solutions.
• Experience reviewing system requirements, identifying optimization opportunities, and proposing enhancements aligned with organizational goals.

Education and experience

• At least 4-year Bachelor’s degree in quantitative fields with minimum of 5 years of relevant data experience in data engineering /Gen AI, full stack engineering, preferably in financial organizations or Masters in quantitative fields (Computer Science, Computer Engineering, Statistics or similar)
• Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams
• Professional certifications in AI/ML frameworks, cloud technologies, or DevOps tools (e.g., AWS Certified Machine Learning, TensorFlow, or Kubernetes) are advantageous.

Nomura Competencies

Explore Insights & Vision

• Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.

Making Strategic Decisions

• Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.

Inspire Entrepreneurship in People

• Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.

Elevate Organizational Capability

• Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.

Inclusion

• Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).

Diversity Statement

Nomura is committed to an employment policy of equal opportunities and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender, or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

Nomura is an Equal Opportunity Employer
SFID: 11821

Overview:

The Assistant Engineer will support the Engineer or Lead Engineer in supervising field operations, coordinating fault rectification works, and maintaining proper records in CWMS/CFEMS for street lighting and commuter facilities.

Key Responsibilities:

• Assist in overseeing site works, inspections, and testing.
• Prepare basic reports, update CWMS/CFEMS entries, and assist in work coordination.
• Follow up with contractors and technicians on rectification timelines.
• Ensure safety and quality standards are met on-site.

Requirements:

• Diploma or ITE Certification in Engineering (Electrical, Civil, or Mechanical).
• Min. 1 year of working experience preferred (Fresh graduates may be considered).
• Willingness to learn and work in a dynamic field-based environment.
• Familiarity with fault-logging systems (CWMS, CFEMS) is a bonus.

• Plan, organise, and execute assigned engineering works efficiently and effectively, including delivering TGM maintenance at customer premises per contract terms

• Ensure the smooth operation of gas supply systems and related equipment.

• Perform system design, project planning, cost estimation, and prepare technical presentations as required.

• Prepare, update, and maintain accurate technical drawings and related documentation.

• Compile and submit monthly engineering and maintenance reports in a timely manner.

• Conduct in-house technical training programmes to enhance staff competency and knowledge.

• Monitor and manage spare parts inventory to ensure adequate stock levels at all times.

• Evaluate, source, and liaise with suppliers, subcontractors, and vendors for project and operational needs.

• Ensure compliance with all relevant government regulations, safety requirements, and industry standards.

• Respond promptly to emergencies and provide technical troubleshooting and support when required.

• Perform standby duties and provide backup support during off-duty hours, including weekends and public holidays if necessary.

• Ensure all work is carried out in accordance with established standard operating procedures (SOPs).

• Promote and maintain a safe working environment, ensuring adherence to workplace safety policies and practices.

• Carry out any other duties as assigned by the superior from time to time.

Qualification and Skills

• Diploma or Degree in related field (Chemical Engineering, Safety, Environmental)

• At least 3 years of relevant experience in semiconductor, manufacturing, chemical, gas or similar working environment

• Good problem-solving and analytical skills

• Good written, verbal communication and interpersonal skills

• Experience in gas supply distribution systems would be an added advantage
  

Overview:

The Mechanical Engineer will support the installation and maintenance of mechanical systems related to commuter facilities — such as pumps, fans, lifts, or ventilation equipment — ensuring functionality, safety, and LTA compliance.

Key Responsibilities:

• Inspect, test, and maintain mechanical assets and components.
• Support scheduled and unscheduled maintenance activities.
• Prepare method statements, risk assessments, and mechanical system reports.
• Coordinate with contractors and ensure compliance with equipment standards and specifications.

Requirements:

• Diploma or Degree in Mechanical Engineering.
• Minimum 2 years of experience in mechanical system maintenance or installation.
• Familiar with LTA requirements, SS531, and relevant local codes.
• Strong coordination skills and knowledge of M&E systems in public infrastructure.

Cloud Engineer

Responsibilities:

• Manage Cloud Infrastructure.
• Good in handling Cloud maintenance, support, deployment & implementation.

Requirements:

• Strong in Cloud Infrastructure (AWS, Azure etc).
• Good in handling Cloud Infrastructure (AWS, Azure)
• Min. 2 years Cloud experience
• Good in handling Cloud Computing, Virtulisation,
• Experience in Windows, System or Microsoft 365, Microsoft Teams, Microsoft Azure, Microsoft Intune MDM
• Expereince in Cloud SaaS, IaaS etc.
• Strong understanding of security best practices in Cloud, Azure, AWS, Microsoft 365
• Possess Cloud certification (AWS /Azure / GCP) is preferred.
• Singaporean Only!

We respect your privacy and all communication will be treated with confidentiality.

Please contact us or apply in-confidence to us with you updated MS Word Resume to : jeline@starcareerconsulting.com

Yong Jeline (Reg. No. R1101621)

STAR CAREER CONSULTING PTE LTD (EA License: 20C0353)

Job Description:

• Conduct cutting-edge research in the field of recommendation & search, natural language processing and deep learning &LLM.
• Develop AI-enabled products and services with other groups in the company
• Collaborate with world-class organizations in academia projects

Skills / Qualifications:

• Possess a Master’s degree or PhD degree in computer science, statistics, applied mathematics, or have equivalent research experiences
• Demonstrate the ability to generate new ideas
• Have 3 years of academic or industrial working experiences in recommendation & search, natural language processing, deep learning, machine learning, or related fields
• Have strong programming skills, experienced in one or more programming languages including but not limited to: C/C++, Java, Python

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. 

PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

Responsibilities:

• The candidate shall have comprehensive knowledge and experience of water and wastewater non-infrastructure design, including an understanding of the basics and the integration of multidisciplinary elements, including process engineering and MEICA.
• The candidate shall have technical knowledge and expertise to the design team on all design stages, including feasibility studies, outline design, detailed designs, and preparing technical specifications.
• The candidate shall be able to carry out and lead structural design for concrete, steel, and masonry structures to meet client and regulatory standards.
• The candidate shall carry out structural design calculations for all aspects of Water Treatment and Sewage Treatment plants, including both new build and modifications to existing plants
• The candidate shall review of structural content of construction drawings/models
• The candidate shall review of subcontract design proposals Ensuring all work is considered for buildability, standardisation and DfMA, and for safety on site complying with CDM regulations
• The candidate must have the knowledge to design reinforced concrete and steelwork design by applying all relevant Eurocodes and British Standards Co-ordination and liaison within a multi-discipline organisation including construction oversight and site support
• The candidate shall work to procedures and processes to ensure the continuing development of the discipline
• The candidate shall coordinate all aspects of design with other disciplines and use resources both internal and external
• The candidate shall have proficiency in civil and structural engineering software, such as STAAD, Tedds Staad, PRO, Robot Structures or similar FEM analysis software, and have experience working within a 3D design environment, as well as producing hand calculations for the structural design of reinforced structures
• The candidate shall have a good knowledge of civil and geotechnical engineering, and an awareness of mechanical and electrical engineering sufficient to enable collaborative working with these other disciplines.
• The candidate shall produce and review deliverables, including calculations, drawings, technical reports to relevant standards and procedures
• The candidate shall support the preparation of the project budget and programme.
• The candidate shall Coordinate with other technical disciplines to develop innovative solutions.
• The candidate shall maintain files and records throughout the duration of the contracts.
• The candidate shall ensure provide services which focus on customer satisfaction.
• The candidate shall ensure that the design fully considers all health and safety requirements, including, but not limited to, CDM 2015 regulations.
• The candidate shall ensure that the design takes full regard for all health and safety requirements.

Qualifications:

• Degree in Civil Engineering.
• The candidate shall have about 3 years of experience in structural design works, preferably with contractor experience.
• Experience working on water and sewage treatment projects will be advantageous.
• Ability to rationalise designs and produce economic plant layouts.
• Proficient in written and oral communication with good interpersonal skills.

Please follow us on LinkedIn if you want to know more about Binnies Singapore.

https://www.linkedin.com/search/results/all/?heroEntityKey=urn%3Ali%3Aorganization%3A81524833&keywords=Binnies%20Singapore&origin=ENTITY_SEARCH_HOME_HISTORY&sid=ha%3B

We are looking for an Engineering Manager / Lead Software Engineer to take on complex and meaningful technical challenges in the public sector, driving digital transformation that directly improves lives at scale.

In this role, you will be responsible for setting technical direction, shaping engineering processes, and ensuring delivery of one or more products owned by your team. You will also play a key role in building an engineering culture that values excellence, collaboration, and long-term impact.

Job Responsibilities:

• Defining your team’s engineering vision, strategy, and roadmap in alignment with broader organizational goals.
• Staying on top of industry trends, with strong knowledge of how systems should be architected, engineered, and maintained at scale.
• Designing and guiding the implementation of systems across SaaS solutions, leveraging cloud technologies where appropriate.
• Partnering with stakeholders to prioritize and manage product roadmaps, ensuring incremental and effective delivery towards long-term vision.
• Creating and maintaining a technical plan that anticipates future product and infrastructure needs.
• Coaching and mentoring engineers through regular feedback, supporting professional growth and career development.
• Driving adoption of best practices in quality, reliability, performance, and security within your teams.
• Encouraging strong engineering culture and introducing tools/processes that maximize effectiveness and impact.
• Actively identifying and initiating high-value engineering initiatives that contribute to the public good.
• Contributing to recruitment, particularly for senior technical roles.

Job Requirements:

• Proven experience building and operating large, high-availability software systems at scale.
• At least 10 years of development experience, with 5+ years coaching and mentoring engineering teams of 5+ people.
• Experience with modern full-stack application development, spanning contemporary front-end frameworks and scalable backend services across multiple programming languages.
• Hands-on technical expertise across the technology stack, including infrastructure, client-side, backend services, APIs, databases, performance, and data.
• Strong background in end-to-end system development, from user interfaces through backend and integration layers.
• Familiarity with Agile development, modular design, automation, TDD, CI/CD pipelines, pair programming, and infrastructure automation.
• Exposure to cloud platforms (e.g. AWS, Azure) and container technologies (e.g. Docker, Kubernetes).
• Excellent understanding of engineering leadership, balancing technical expertise with the soft skills needed to inspire and guide teams.
• Passion for engineering craftsmanship, teamwork, and creating meaningful impact through technology.
• Strong ability to lead teams toward achieving ambitious goals together.

We are seeking a proactive and technically strong Cloud Engineers with hands-on experience in designing, deploying, and managing cloud infrastructure. The ideal candidate should have solid knowledge of cloud platforms (AWS, Azure, or GCP), networking fundamentals, virtualization, and security best practices.

Key Responsibilities

• Design, implement, and manage cloud infrastructure solutions across public and hybrid cloud environments (e.g., AWS, Azure, GCP).
• Plan, execute, monitor, and deliver cloud migration, deployment, and infrastructure upgrade projects.
• Provision and maintain cloud resources using Infrastructure as Code (IaC) tools.
• Ensure high availability, scalability, security, and performance of cloud-based systems.
• Monitor cloud environments and ensure compliance with contractual Service Level Agreements (SLAs).
• Perform routine maintenance, patching, backup management, and disaster recovery planning.
• Implement and manage virtual networks, VPNs, firewalls, and security configurations in cloud environments.
• Collaborate with DevOps and application teams to support CI/CD pipelines and containerized workloads.
• Troubleshoot, diagnose, and resolve cloud infrastructure and network-related issues.
• Prepare technical documentation, architecture diagrams, and project reports.

Job Requirements

• Min 0 to 2 years of working experience required.
  Strong knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Experience with virtualization, hypervisors, and cloud-native services.
• Hands-on experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation, ARM).
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Knowledge of networking concepts including VPC, VPN, firewalls, load balancers, and routing.
• Understanding of security best practices in cloud infrastructure.
• Strong analytical and problem-solving skills with a proactive mindset.
• Excellent communication skills to engage both technical and non-technical stakeholders.
• Ability to work independently as well as collaboratively in a fast-paced environment.

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.

Our client is a fast-growing AI company building enterprise-grade agentic automation solutions for large organizations. They are looking for a hands-on, client-facing AI engineer to work directly with enterprise clients and bring AI-driven automation workflows into production.

This role is best suited for a strong engineer who enjoys solving ambiguous customer problems, working close to real business operations, and moving from discovery to implementation quickly. You will help clients identify where AI agents can create practical impact, then design, build, integrate, deploy, and iterate solutions within complex enterprise environments.

You will work across backend engineering, solution design, integrations, data flows, deployment, and customer engagement, with a strong focus on reliability, business value, and production outcomes.

Key Responsibilities

• Partner directly with enterprise customers to understand their workflows, pain points, technical environments, and success criteria.
• Translate ambiguous business problems into clear technical plans, solution designs, and production-ready implementations.
• Build, configure, and deploy AI agents and automation workflows that connect with customer systems, data sources, APIs, and business processes.
• Own the delivery lifecycle from discovery and scoping through build, testing, launch, monitoring, and ongoing iteration.
• Write high-quality code for backend logic, integrations, workflow automation, data handling, and deployment requirements.
• Work with real customer data and production environments to test performance, measure outcomes, and improve solution effectiveness.
• Collaborate with product and engineering teams to improve the platform based on customer needs, deployment learnings, and field feedback.
• Run technical workshops, guide customers through implementation decisions, and explain technical trade-offs clearly to both technical and non-technical stakeholders.
• Identify repeatable patterns, create documentation, improve internal tools, and help scale delivery practices as the team grows.
• Take ownership of reliability, performance, maintainability, and long-term customer success after deployment.

Requirements

• Minimum 6 years of experience in software engineering, AI engineering, implementation engineering, technical consulting, or similar hands-on technical roles.
• Strong backend engineering fundamentals, including system design, APIs, integrations, data flows, and production systems.
• Experience with AI agents, LLM applications, automation platforms, workflow tools, or data-heavy enterprise systems.
• Experience building or deploying AI solutions in complex customer environments, especially where requirements are ambiguous or evolving.
• Comfort working directly with enterprise customers, including business, operations, IT, and technical stakeholders.
• Ability to quickly understand customer workflows and identify where automation or AI can deliver practical business impact.
• Strong ownership mindset, with the ability to create clarity, drive decisions, and move projects forward independently.
• Clear communication skills, with the ability to explain technical concepts, implementation plans, risks, and trade-offs in a practical way.
• Experience working with production systems, including testing, debugging, monitoring, performance improvement, and ongoing iteration.
• Regular use of AI tools and a practical understanding of what current AI technologies can and cannot do.
• Comfort operating in a fast-moving, early-stage environment where priorities may shift and solutions need to be developed quickly but thoughtfully.

Nice to have

• Experience in enterprise implementation, deployment, professional services, customer engineering, or technical consulting.
• Experience working with large enterprise clients in Singapore, especially across FSI, telco, insurance, aviation, or other complex industries.
• Startup or zero-to-one environment experience.

Introduction

Device development for feature rich CMOS technologies (CMOS, NVM, sensors)

Your Role

• Design, development and characterization of MOSFETs, non-volatile memory cells or CMOS-based sensors to meet performance and reliability requirements

• Design of device test structures and detailed characterization of devices

• Working with TCAD engineers to predict device split results

• Working with Modeling engineers to produce good device models

• Detailed analysis of electrical test data and characterization results

​Required Qualifications

• Master's with at least 3 years relevant device experience or PhD  

• Familiarity with layout and design rules 

• Experience in detailed electrical characterization of devices 

• Process Integration experience preferred 

Preferred Qualifications

• PhD or Masters in Electrical / Electronics Engineering or equivalent

• Field of specialization: Microelectronics

Other Essential Attributes

• Strong understanding of device and process physics

• Aptitude for optimization and innovation

• Ability to work in a multi-disciplinary team in a fast-paced environment

• Good communication and interpersonal skills