Total 4,077 engineering job vacancies in Singapore

Role:
Chemical Engineering Technician (Solvent Recovery)

• Location: Tuas
• (Company Transport / Transport Allowance $120 if candidate travel to work by themselves)
• Working hours: Monday to Friday (8am – 5pm); Saturday (8am – 12pm) / Shift Work (Day: 8am – 8pm, Night: 8pm – 8am)
• Basic salary: $1,900 – $2,700 (Entitled to overtime / shift work allowances) + Sign-on bonus (T&C apply)

Requirements

Minimum NITEC/Diploma in Chemical Engineering, Biotechnology, or a related field.

Proficient in basic computer applications (e.g., MS Office, email, internet research).

Able to perform overtime/shift work.

Responsibilities:

To work at distillation process plant to make sure distil spent waste material into product.

To ensure distillation process plant operates in safe operation parameters.

To ensure the safety of the transferring of the flammable material.

To ensure close co-ordination with the Laboratory for waste/product sampling.

To ensure the following up of the SOP.

To co-ordinate closely with the Laboratory & resale team for the re-sell items.

To ensure there is sufficient storage capacity, and the product safely stored and treated.

To ensure the performance and efficiency of distillation process plant in terms of the recovery yield and utilities consumption.

Startup/shut down operation of distillation process plant according to SOP.

Record process data and report any deviations.

Identify and rectify process upset and equipment malfunction timely.

Work with engineering to resolve equipment issues and implement preventive measures.

conduct routine inspections for leaks, spills, and safety hazards. Ensure safe handling of materials that are flammable.

To participate training program to enhance chemical and safety knowledge.

To cover the 5S and safety job for the department.

✅ Wee Yuan Huan

✅ Reg No: R21100383

✅ The Supreme HR Advisory Pte Ltd

✅ EA No: 14C7279

Build the Intelligence Layer of Singapore's National Logistics Carrier.

From Scratch.

SingPost is executing a foundational technology reset. Legacy platforms are being sunsetted. The entire digital backbone is being rebuilt — not modernised incrementally, but redesigned from first principles for the next decade of operations.

The Intelligence Layer — the AI/ML engineering division that will make those platforms smart — is being built from zero.

• No legacy models to maintain.

• No inherited pipelines to defend.

• No prior architectural decisions to work around.

• This is a greenfield AI/ML engineering remit at national logistics scale.

We are hiring a DVP, AI/ML Engineering to own the Intelligence Layer end-to-end — to frame AI problems, write feature pipelines, build the MLOps platform, govern AI in production, and grow a team of engineers who will carry SingPost's AI capability for the next decade.
 

OVERALL ROLE PURPOSE

SingPost moves items daily across our national postal, logistics, and e-commerce network. This massive data volume provides the foundation for the Intelligence Layer to generate automated decisions. The data is already available. The infrastructure is being rebuilt. What is missing is the AI/ML engineering layer that converts that data into decisions, predictions, and automation that move the business forward.

The DVP, AI/ML Engineering leads the Intelligence Layer — the engineering division responsible for building, deploying, and operationalising AI and machine learning systems that generate measurable business value across logistics, finance, and operations. Better delivery ETAs. Smarter routing. Automated exception handling. Financial risk prediction. The use cases are real, the data is available, and the platform is being built to support them.

This is a greenfield remit. There is no AI/ML team to inherit, no existing models to maintain, and no technical debt to defend. The DVP will define what production AI looks like at SingPost — the standards, the architecture, the governance model, and the team.

In the early months, before the team is built, the DVP carries significant personal technical output. This requires someone who is energised by building from nothing — not someone looking for an established platform to run.

Key Responsibilities and Result Areas

Hands-On AI/ML Engineering  (~30%)

• Frame every AI/ML problem in writing before a line of code is written: prediction target, success metric, data requirements, baseline — and the answer to 'what happens if this model is wrong?'

• Write production-grade feature engineering pipelines in Python: extract from BigQuery, transform, load into Vertex AI Feature Store; enforce training–serving consistency from the first pipeline

• Build and own Vertex AI Pipelines (Kubeflow SDK): full DAGs from data ingest through training, evaluation, conditional logic (skip training if drift threshold not met), and model registration

• Configure Vertex AI Online and Batch Prediction endpoints: autoscaling, traffic-split A/B testing, shadow mode — not just click through the UI, but write and own the configuration

• Implement Vertex AI Model Monitoring: skew/drift thresholds, alert triage runbooks, retraining triggers — you are the last line of defence before the business notices

• Build LLM/GenAI pipelines where they create real value: RAG design, embedding generation, retrieval chain, prompt template management, output evaluation harnesses

• Debug production failures hands-on: inspect pipeline run logs, query BigQuery prediction logs, reproduce feature pipeline failures locally — you do not wait for reports

AI Gateway & DSB Integration  (~15%)

• Define and enforce the AI Gateway integration standard: all Vertex AI endpoints served through Apigee; zero direct calls from applications or business platforms — catch violations in code review, not in production

• Own the API contract between Vertex AI serving endpoints and the Apigee proxy layer: request/response schema, latency SLA, error handling, and versioning strategy

• Partner with DVP, Digital Engineering Platforms on Apigee proxy policy configuration for AI endpoints: rate limiting, auth, payload validation, response caching

MLOps Platform Ownership  (~20%)

• Architect and own the MLOps platform on GCP: Vertex AI Pipelines (orchestrator), Feature Store (shared features), Model Registry (catalogue), BigQuery (training and evaluation store)

• Define and enforce model governance before a model touches production: model cards (mandatory), evaluation report sign-off, bias/fairness assessment, rollback test results, data lineage documentation

• Set the CI/CD standard for ML model artefacts: training triggered by code merge, evaluation gate before registration, automated promotion to staging, manual DVP sign-off for production

PDPA & Data Governance  (~10%)

• Enforce PDPA compliance for all AI/ML data: classify training datasets, apply column-level access controls in BigQuery, ensure all training jobs run within GCP Singapore (no data egress), maintain audit logs

• Own the PDPA impact assessment for every new AI use case — before development begins, not after

AI Acceleration Programme  (~10%)

• Own the Intelligence Layer's use case backlog: prioritise by business value and technical feasibility, not by what is technically interesting

• Report programme progress to VP in structured monthly updates — outcomes, not activity

• Evaluate AI tooling, foundation models, and agentic architecture patterns relevant to SingPost's logistics and financial operations context; make recommendations, not presentations

Team Building & Leadership  (~15%)

• Recruit and onboard the Intelligence Layer from zero: write technical assessments, conduct interviews, make hiring decisions — starting with AI Engineer (Logistics/Finance Intelligence Squad) and ML Engineer (Predictive Operations Squad)

• Line-manage all Intelligence Layer engineers: 1:1s anchored to specific technical skill development targets, not project status updates

• Coordinate the offshore distributed engineering pod: scope data engineering tasks, review pipeline code, hold the quality bar

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Mathematics, or a related quantitative field

• Google Cloud Professional Machine Learning Engineer certification preferred; Professional Data Engineer certification advantageous

• 8+ years in technology roles, including:

• 5+ years in hands-on AI/ML engineering within production environments

• 3+ years in technical engineering leadership

• Proven experience building and operating end-to-end MLOps pipelines across training, deployment, monitoring, and retraining

• Strong Python ML engineering capability using frameworks such as scikit-learn, XGBoost, PyTorch/TensorFlow, pandas/NumPy, and FastAPI/Flask

• Deep hands-on expertise with Vertex AI, BigQuery, ML CI/CD automation, and production deployment workflows

• Experience building GenAI/LLM solutions, including RAG pipelines, embeddings, and evaluation frameworks

• Experience within complex enterprise environments; logistics, supply chain, or financial services exposure is advantageous

• Strong ability to communicate AI/ML concepts, model decisions, and technical recommendations to both technical and business stakeholders

THE ROLE:

You will be as part of the Product Engineering Organization, where we deliver test and manufacturing solutions for Enterprise New Product Introduction (NPI). You will be at the forefront of developing innovative products that drive next-generation processors for high-performance computing, data centers, and enterprise servers. As a Staff Automatic Test Equipment (ATE) Test Engineer, you will collaborate with design teams to guarantee the timely delivery of high-quality ATE Test solutions. You will assume ownership of specific test modules and/or the overall Test program, which involves ensuring content development and bring-up is in accordance with established validation protocols. You will be developing ATE test programs and designing test hardware for supported products. Additionally, you will evaluate and release robust test programs for production testing, ensuring that all quality, yield, and test time performance indicators are consistently met.

THE PERSON:

You will have a deep commitment to technical expertise, who is eager to continuously learn and share knowledge within the team. You should possess a robust background in ATE development, preferably Advantest 93K, focused on test content and program creation. You will be results-driven and demonstrate strong stakeholder management skills, essential for effective collaboration with diverse teams across AMD. Excellent verbal and written communication abilities are required for successful engagement with our global workforce.

KEY RESPONSIBILITIES:

• Partner with IP design, validation, and architecture teams to ensure comprehensive IP content coverage, and to develop, validate, and debug test patterns.
• Build and maintain test program infrastructure, leveraging the latest Best Known Methods.
• Evaluate and validate new product features, test conditions, methodologies, and test content during initial silicon bring-up.
• Conduct silicon characterization across various process, voltage, and temperature conditions.
• Correlate and release test programs for high-volume production environments.
• Lead initiatives to improve Key Performance Indicators, focusing on reducing test time, debugging yield issues, and enhancing product quality.
• Provide support for product qualification processes and assist in debugging customer returns.

PREFERRED EXPERIENCE:

• Hands-on experience developing ATE test programs and patterns, with a preference for Advantest 93K platforms.
• Understanding of JTAG, BIST, and HSIO concepts.
• Experience designing ATE loadboards.
• Strong programming and scripting skills in languages such as C, C++, Java, Ruby, Perl, or Python.
• Familiarity with version control systems
• Competence in statistical analysis techniques.
• Proficiency in Windows, Unix, and Linux operating systems.
• Solid understanding of modern computer architecture.

ACADEMIC CREDENTIALS:

• BS/MS Electrical Engineering, Computer Engineering, or comparable disciplines

LOCATION:

Singapore

Job Description & Requirements

• Lead and manage technical teams handling plant maintenance, equipment servicing, and building maintenance works.
• Oversee 24/7 breakdown support operations and ensure rapid response for critical plant issues.
• Plan, coordinate and supervise maintenance schedules, shutdown works, and project deployments.
• Conduct site inspections, identify technical problems and provide effective engineering solutions.
• Manage operations on Jurong Island, including manpower planning, safety coordination, and permit processes.
• Ensure proper servicing, troubleshooting, and repair of plant equipment and machinery.
• Provide technical support to clients and internal teams for mechanical, electrical, and civil-related issues.
• Liaise with clients, consultants, subcontractors and vendors to ensure smooth project execution.
• Prepare work reports, quotations, maintenance records and project updates.
• Maintain compliance with safety standards, especially for Jurong Island sites.
• Guide, mentor and train technicians and supervisors.
• Handle any ad-hoc duties assigned by management.

Requirements:

• Able to work well with others as a competent team and team leader.
• Able to work flexible hours, night shift and Sundays if required
• Diploma in Mechanical/Electrical & Communication Engineering. Or Degree in Mechanical/Electrical & Communication Engineering.
• Minimum 3 years of relevant experience preferred.

• Knowledge on the tools, equipment, and materials common to the Mechanical & Electrical trade.
• Knowledge on hydraulic & pneumatic system & control.
• Knowledge of applicable electrical codes, standards and regulations.
• Skill in the installation,repair and maintenance of all types of electrical system equipment and components.
• Skill in both verbal and written communication.
• Ability to work independent and self-responsible manner.
• Able to work on an 8 hours rotating shifts.
• Flexible to work on Sundays & Public Holidays.
• Class 3 License Required

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

Responsibilities

• Perform regular internal quality audits to assess the compliance of manufacturing processes with established quality standards and requirement
• Generate or compile reports of audit findings, highlighting areas for improvement and follow up on corrective actions to enhance the efficiency and quality of manufacturing processes
• Perform process verification to ensure that manufacturing process are executed correctly and meet the defined standard and specification
• Support on the administration of calibration control of test and measurement equipment
• Support the regularly update and maintenance of documentation including ISO documents, Control Planand Inspection Checklist and process verification records to ensure accuracy and compliance with established standard
• Perform data analysis and investigation based on customer feedback, identifying trends and areas for improvement in collaboration with the Engineer
• Collaborate with cross-functional teams to drive continuous improvement initiatives and ensure compliance with relevant standards
• Provide support and preparation for external audit such as customer audit, ISO audit, by ensuring relevant documentation, records are readily available and up to date

Requirements

• Diploma in Engineering, Science, or relevant field study
• Prior experience in a QA / QM role or similar function
• Strong problem-solving skills and the ability to think critically
• Proficiency in statistical concepts & tools and software, such as Minitab, JMP, Tableau, Python or similar for data analysis
• Familiarity with QA tools and methodology such as 8D (Methodology, Mistake Proofing (POKA YOKE), Root Cause Analysis, and FMEA
• Able to work in a cleanroom environment
• Effective communication and interpersonal skills, with the ability to collaborate with cross-functional teams
• Ability to adapt to changing priorities and work in a fast-paced environment

GMP Technologies (S) Pte Ltd | EA Licence 11C3793 | EA Personnel: Novita Widjaja | Registration No: R22105960

Up to $3,200 Basic Salary + AWS + VB
Nearest MRT: Pioneer (Company Bus Pick Up)


Conduct measurement and analysis using measurement tools in the lab and the cleanroom

Job scope:

➤ Conduct, analyse and publish evaluation and/or failure analysis results using measurement tools.
➤ Co-ordinate and work together with the engineer to ensure compliance with completion target dates,
and to assist the line to run smoothly.
➤ Ensure compliance with ISO quality and safety standards
➤ Proper 5S housekeeping
➤ Any other ed-hoc as assigned by the superior

Requirements:

➤ Minimum Higher NITEC or Diploma in Science/ Engineering
➤ Open to entry-level or candidate w/ few years of working experience
➤ Must have Basic communication skills in English or Mandarin to liaise with Mandarin-speaking counterparts and stakeholders.
➤ Must have basic computer skills
➤ Open to working in a cleanroom environment
➤ Open to work in night shift
➤ Willing to work overtime as required.

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

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Khoo Tiffany

EA Registration No: R22107626

Pasona Singapore Pte. Ltd.

EA License No: 90C4069

As a key talent within High Bandwidth Memory (HBM) Product Engineering Media Health team, you will spearhead and develop a high performing team driving both intrinsic and extrinsic reliability test development and execution for Micron’s latest HBM products, both on DRAM and Interface die and a stacked product. Your responsibility is to drive extrinsic DPM reduction (Time 0 and Field DPM) and lead the intrinsic reliability charter, along with optimized Manufacturing Test Flow to meet critical KPI’s Quality, Cost and Cycle Time.

You will be leading the team to characterize the products from reliability aspect, identify the reliability gaps, working on root cause and resolution of qual and RMA failures pertaining to defectivity and intrinsic reliability margin and drive fab process improvement driven by the qual failures. Additionally, your team will also be the key person in frontend process conversion, where you will work with Fab, TD, GQ teams to establish robust business process for process conversions to facilitate yield improvements, DPM and Cost Reduction. You will collaborate across functions within and outside of HBM to meet both strategic and tactical objectives while continually maximizing the effectiveness of the HIG HBM PE organization. The future of HBM are exciting and dynamics. Micron is seeking experienced individuals that find technical challenges engaging and invigorating.

Responsibilities:

• Reliability Test Flow Development: Define and develop reliability stress, test flows and test plans to cover all Product Reliability aspects.

• Reliability Test Plan and Execution: Work closely with Global Quality team to define qualification plan, review and manage the qualification execution progress, and drive for qualification gating issue resolution.

• DPM reduction: Drive down and achieving Extrinsic Reliability (Time 0 and Field DPM) and Intrinsic Reliability through Optimized Manufacturing Test Flows and Test Strategy to meet critical KPI’s Quality, Cost and Cycle Time

• Root Cause and Resolution of Qual and RMA Device Issues pertaining to defectivity and intrinsic reliability: Debug and identify root cause and failures in reliability tests by electric failure analysis(EFA) and Physical Failure Analysis (PFA) and drive for resolution and improvements through cross functional team collaboration.

• Process Conversions and HVM: The role involves providing recommendation to fab teams for new process conversions to reduce cost, increase yields. This is critical as it directly impacts the yield, quality, reliability, and performance of HBM products, which are key components in many modern technologies.

• Risk Management: The role requires communication with Product Managers/Leads to manage risks associated with DPM process conversions. This is crucial in ensuring that the conversions move at an appropriate pace, balancing the need for innovation with the need for stability and reliability.

• Promotion of Innovation: The role involves promoting innovation and driving for changes that will provide Micron with a technical advantage over its competition. This is vital for maintaining Micron’s competitive edge in the market.

• Mentorship and Development of Others: The role involves actively developing and mentoring others. This is important for the growth and development of the team and the organization.

• Project Management: Developing project management skills within the team ensures efficient execution of projects, leading to timely delivery of technological solutions.

• Technical Decision Making: The role involves making final decisions on risk analysis and project prioritization. These decisions directly impact the direction of technological development.

• Cross-Functional Collaboration: This role necessitates collaboration with various cross-functional teams such as Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability team. This collaboration is vital for the holistic development and shipping of end products.

Requirements

• Bachelors/Masters Electrical and Electronics Engineering Degree with 5+ years of experience in the semiconductor industry. Product Engineering experience is preferred.

• Demonstrating Strong Technical Skills, especially in problem solving with root cause understanding and solution space through in depth circuit analysis.

• Good knowledge of statistics and data analysis tools and scripting tools such as Python or JMP.

• Dedicated and highly motivated with a flexible approach towards adapting to different roles in a dynamic working environment (from leading the team to leading technical programs).

• Proven track record of collaborative work within/across teams to address sophisticated business and engineering problems.

• Strong sense of responsibility and accountability towards assigned role with professional work ethic.

• Excellent communication and presentation skills.

• Passionate about people leadership, with a drive toward ongoing learning and development in this area.

• Work on site in Singapore with international travel to US, Taiwan and Japan.
  

  Performs hardware, software, semiconductor design or telecomm engineering assignments. This job mappin

• Marketing Executive (Engineering Industry)
• Working Days: 5 days, Mon to Thurs 8:30am-6pm &  Fri 8:30am-5:30pm
• Working Location: One-North
• Salary: $2,900 ~ $3,500

We are looking for a Marketing Executive to develop B2B marketing strategies and campaigns locally and overseas.  You will be required to coordinate with staff in other departments and regional offices.

The goal is to ensure that the marketing efforts of the company add to the highest value to its business.

Responsibilities

• Develop efficient and intuitive marketing strategies and campaigns.
• Monitor corporate branding applications across all corporate and marketing materials to deliver quality corporate brand identity consistently.
• Organise and attend events such as seminars, trade shows, exhibitions and networking sessions.
• Conduct market research and analysis to assess current market trends, brand awareness and competitors.
• Managing the design, content and production of marketing collaterals, such as brochures, flyers and newsletters.
• Manage and update the content of the company’s website.
• Compiling and distributing product information to the sales department.
• Liaise and negotiate with vendors, suppliers, contractors and marketing agencies.
• Interact with country managers, sales team, principals and government agencies.

Requirements

• Diploma/Degree in Marketing, Communications or equivalent.
• At least 1-2 years of relevant work experience is preferred.
• Experience with Adobe Illustrator, WordPress and Google Analytics would be beneficial.
• Willing to travel for occasional business trips.

Interested applicants can also send your resume to WA:+65 83472904 (Mr Samuel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

Samuel Siaw

The Supreme HR Advisory Pte Ltd

EA No: 14C7279

Reg No: R2412474

Job Description

1. Assist QP(S) in the site supervision of civil/structural works and geotechnical works.

2. Manage a team of Site Supervisors (SS) on site to ensure that all works comply fully with regulatory and Client's requirements.

3. Work closely with Project Management Team, QP(S), QP(D), Client, Contractors and local Authorities to ensure successful and timely completion of the project.

4. Attend regular site progress meetings to resolve site issues.

5. Carry out regular site inspections on Contractor’s works to ensure site supervision quality & site safety.

6. Review Contractor’s submissions to ensure compliance with regulatory and Client's requirements.

7. Ensure Contractor’s works is carried out in accordance with approved designs and drawings.

8. Identify any non-conformance of Contractor's works on site and to follow up with Contractor to ensure rectification of non-conformance.

9. Ensure proper and up-to-date site documentation for on-going and completed works.

Requirement

1. Registered with IES/ ACES.

2. Conversant with BCA Regulations, maintenance of systematic site records, government contract documents and meet BCA reporting requirements.

·  Troubleshoot equipment related problems

·  Carry out preventive maintenance according to service procedures

·  To perform repair task that includes parts replacement, overhaul of equipment, upgrading of equipments

·  To ensure that all works comply with quality and safety procedures

·  Perform ad hoc assignments such as training support when required

Job Title: R&D Engineering Assistant / Failure Analysis Technician (Lab Analysis & Testing) (ID1627)
Location: Pioneer, transport pick up Singapore
Working Hours: 4334 days 12 hours shift (Day / Night)
Day Shift: 8:00am – 8:15pm
Night Shift: 8:00pm – 8:15am
Basic Salary: $2400 - $3000
Benefit: 12 days Annual Leave, AWS and Variable Bonus

Job Description
• Assist in conducting validation, evaluation, and characterization of media, media processes, and related components to ensure compliance with design and reliability margins.
• Perform surface analysis measurements and support the development of analysis techniques under the guidance of engineers.
• Document and compile results of evaluations and failure analyses for review by engineers.
• Collaborate with engineers to provide input on surface analysis results and support improvement activities.
• Execute daily evaluation and failure analysis tasks as prioritized by engineers to meet target completion dates.
• Operate and maintain surface analysis lab equipment and report any issues to engineer or vendors for repair and maintenance.
• Ensure lab operations comply with ISO quality and safety standards.
• Carry out additional tasks as assigned by engineers to support lab operations and engineering activities.
• Proper 5s housekeeping
• Any other ed-hoc as assigned by superior

• Perform process setup and buyoff for both Drive Backend Assembly, ensuring that yield, cycle time, and quality outcomes meet defined targets
• Support product ID label buyoff to ensure compliance with product specifications and standards• Monitor production yield to detect any excursions, conduct process mapping, and implement immediate containment (stop bleeding)
• Establish hypotheses, design experiments to identify root causes, propose corrective actions, and report findings to engineers
• Escalate process and technical issues appropriately per PMP requirements
• Conduct basic data queries and analysis to provide relevant information and insights for engineering teams
• Ensure process sustainability by monitoring KPIVs/KPOVs and managing Fast Triggering systems to maintain stable and controlled operations
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs)

Requirements:

• Diploma in Engineering and related disciplines
• Strong data querying and analytical capabilities
• Proficient in English with strong verbal and written communication skills
• Able to perform effectively under pressure and meet deadlines
• Demonstrates strong resilience, adaptability, and positive work attitude

To submit your application, please apply online to apply@rn-care.com or call +65 6514 9838 for a 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

• To support engineers, help marketing retain current customers, and find new ones for the shipbuilding business.
• Participate in the tender process for new construction and conversion projects by helping with commercial ship maintenance and new construction.
• Contract, technical, and equipment specifications are reviewed in order to fulfill design obligations.
• Create a fundamental design concept in accordance with the new building tender.
• Create a drawing timetable and set up a technical meeting with the vendor, system integrators, client, classification, and designer.
• For awarded new building projects, carry out the engineering production plan and new building design.
• Interpret maritime regulations and classification norms. the capacity to interpret design drawings.
• To collaborate with a team while working individually.

Requirements:

• Marine or Naval Arch Degree or Polytechnic or similar.
• A minimum of five years of engineering experience in offshore or marine-related fields.
• Recognize the fundamentals of shipbuilding and project management. able to conduct client discussions and understand technological specs.

Responsibilities:

• Assist Project Manager in site supervision and management.
• Responsible for planning, scheduling, forecasting, conducting and coordinating the technical and management aspects of projects.
• Controlling the cost of the materials and labour.
• Coordination and checking of engineering deliverables.
• Attend site meeting, inspection, and monitoring of project progress with Main Con and Sub-cons.
• Liaising and coordinating with all parties involved in the projects such as consultants, main contractors, sub-contractors, suppliers, local authorities, environmental agencies, and federal entities to ensure successfully implementation of the project.
• To manage daily operation of the project execution.
• Solving construction problems as soundly as possible.
• Acting as the quality control and assurance to ensure that the project objectives are met.
• To ensure that project paper works are properly kept and up to date.
• Ensure safe work procedures are implemented to control risk.
• Familiar with the relevant legal requirement.
• Other ad-hoc duties as assigned

Job Requirements:

• Degree in Civil Engineering recognised by the Professional Engineers (PE) Board or qualifications accepted by the Commissioner of Building Control for registration as Resident Engineer.
• At least five (5) years relevant experience including in planning the construction of vehicular structures and roads involving stage diversions.
• Self-motivated, dynamic and goal orientated candidate
• Required skill(s): MS Office, preferable candidate with AutoCad skills
• Able to start work within short period