Total 478 failure analysis engineer job vacancies in Singapore

[Job ID: 1055551]

Responsibilities:

• Define end-to-end process flows, requirements, and specifications, and validate performance through Design of Experiments (DoE).
• Collaborate with customers on conceptual process design for new products, including feasibility assessment and verification.
• Propose new process concepts supported by data-driven analysis to enhance existing product performance.
• Perform systematic troubleshooting using statistical and data analysis techniques to improve process and product outcomes.
• Debug machinery functions to ensure alignment with customer specifications and analyze DoE results for process optimization.
• Support internal equipment optimization activities prior to buy-off and during customer sample evaluations.
• Provide on-site process optimization and evaluation to meet defined customer requirements.

Requirements:

• Candidates with no prior experience are welcome to apply.
• Degree in Chemical Engineering or a related discipline.
• Strong understanding of Design of Experiments (DoE), FMECA, statistics, and instrumentation.
• Familiarity with bonding processes in back-end semiconductor manufacturing including hybrid bonding is an added advantage.
• Experience in micro-electronics or semiconductor manufacturing is an added advantage.

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.

Please kindly refer to the Privacy Policy of Good Job Creations for your reference: https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Felicia Chiam Kar Min
EA Personnel Reg. No.: R25152370
EA Licence No.: 07C5771

Get to Know the Team

1. Clickstream Intelligence Platform (Scribe) is Grab's in-house app instrumentation and insights platform that captures and analyzes user clickstream activity across all Grab apps. The platform supports observability, real-time personalization, and business analytics by processing tens of billions of events per hour at petabyte scale.
2. Customer Data Platform (CDP) enables Grab Teams to onboard and register Grab's customer data and make it available for Online Serving, ML Models, Segmentation, and Real Time targeting to power personalization use cases across the company. Our platform is used across many mission-critical Grab services such as app personalization, experimentation, ads serving, and marketing.

Candidate will be considered for both teams within our org.

Get to Know the Role

We are looking for a Senior Software Engineer for either the Scribe or CDP team that that has multiple different technical stacks:

• Programming Languages: Python, Go, Scala
• Data Streaming & Processing: Kafka, Apache Flink, Apache Spark
• Data Infrastructure & Tooling: Event gateways, Schema validation tools, Instrumentation testing frameworks

You will report to Engineering Manager II in Singapore and work onsite at Grab Malaysia office.

The Critical Tasks You Will Perform

• Design and improve clickstream data pipelines—from event ingestion to insight delivery—and contribute to services/tools for understanding user behavior.
• Build scalable platform capabilities for user data onboarding, online serving, and real-time data pipelines/architecture.

Electrical Engineer / Assistant Engineer

Working days: Mon - Fri

Working hours: 8:15am - 5:30pm (OT is required)

Location: Joo Koon (Transport from Lakeside / CCK / Joo Koon MRT)

Salary: $2500 - $4000 + OT + AWS + Bonus

Summary

The engineer is responsible for supporting motor & generator services, transformer services and switchgear services. 

 Requirements

• Nitec / Diploma in Electrical Engineering 

• Class 3 driving license is preferred

Primary Responsibilities

• Take charge of maintenance, troubleshooting, repair, commissioning and replacement of machinery equipment and systems such as chillers, motors, switchgears, generators and transformers.

• Carry out testing for all types of protection and maintenance.

• Develop and maintain relations with supervisors, assistant supervisors and other department on engineering concerns.

• Identify and solve engineering problems as needed.

• Ensure works are done timely.

• Ensure all safety aspects of the team.

• Mentor and train up technicians.
  

Chan Kai Wen Reg R23114137
THE SUPREME HR ADVISORY PTE LTD
EA No: 14C7279

Working days: either 4 days 12 hours rotating shift or 5 days work week

Location: Islandwide , office at Woodlands

Salary: $2800 -$3500 depends on experience

Job scope:

• Semiconductor machines startup and installation

• Perform equipment on-site installation, diagnosing, troubleshooting, servicing, and repairing

• Perform equipment continuous improvement programmes, preventive maintenance, modifications and repairing works

• Serves as company contact point with customer on technical matters

• Attends to customers complaints and provides timely solutions

• Other ad hoc duties

Requirements:

• Nitec/ Diploma in Mechanical/ Mechatronic Engineering or related discipline

• Hands-on experience in semiconductor machine maintenance

• Able to work in cleanroom environment
  

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Responsibilities

• Administrating Active Directory and Windows Update Services

• Manage and maintain all Active Directory objects, DNS records and Group Policies, handling requests for creation and removal of related items

• Assisting the Support Engineer or Software Engineer in problem resolution beyond the capability of the 1st Level Support Staff. 

• Performing system recovery if needed.

• Escalating unsolvable problems to the 3rd Level Support Staff and reports the escalation to superior.

• Ensuring that the System runs according to contractual specifications after problem resolution.

• Providing advice on system / database performance monitoring and tuning.

• Ensuring deployments of approved patches/releases are implemented accordingly to Change Request.

• Complete all Service Requested accordingly to SLA timeframe.

• Assisting the Customer in the verification, isolation and/or provision of a temporary work-around for the problem logged beyond 2nd Level Support Staff capability. 

• Escalating unsolvable system problems and service request to the OEM/Vendor for technical support.

• Coordinating system development tasks to include design, integration and formal testing on the Change Request.

• Overseeing all transitions into production on the Change Request.

• Developing and complete actions in system specifications, technical and logistical requirements and other disciplines on the Change Request.

• Creating and maintain programmatic and technical documentation to insure efficient planning and execution on the Change Request.

• Managing and document system configurations on the Change Request.

• Perform troubleshooting and resolve incident based on SLA.

• Generating the relevant administrative records and reports.

Requirements

• Degree/Diploma in Computer Science, Computer Engineering or equivalent, although consideration will be given to experience and certifications in lieu of degree.

• Minimum 3 to 5 years IT experience

• Past working experience in Cloud environment is an advantage

• Able to handle demanding service response and recovery turnaround

• Able to manage daily support tasks to meet stringent SLA requirements

• Preferably with Microsoft Certification and/or ITIL certification.

• Dynamic, customer oriented, experience working in a fast paced environment.

• Good Knowledge of following products will be advantageous:-Linux,Unix,Active Directory/DNS/GPO, ADFS, Microsoft Azure Stack,Microsoft Windows 2016-2022

Licence no: 12C6060

Job Description
The Staff Engineer, Process Development & Sustaining will lead the development, optimization, and sustaining of manufacturing processes for WD's HDD storage products. This is a technically deep, cross-functional role requiring strong foundation in chemistry, materials science, or chemical engineering.

You will drive process characterization, chemical/material qualification, and yield improvement initiatives while ensuring manufacturing processes remain stable, compliant, and cost-competitive. You are expected to operate with high technical autonomy, interface with global R&D and process teams, and mentor junior engineers on the Penang floor.

This role is ideal for a PhD's, or Master's graduate in Chemical Engineering or Materials Science who is passionate about translating lab-scale science into high-volume manufacturing solutions.

Key Responsibilities

Process Development

• Design and develop new manufacturing processes or significantly improve existing ones for HDD production
• Conduct Design of Experiments (DOE) to characterize process windows, identify critical process parameters (CPPs), and optimize process outputs
• Evaluate and qualify new chemicals, materials, and process consumables for manufacturing use
• Develop process recipes, control plans, and standard operating procedures (SOPs)
• Translate R&D/lab-scale processes into robust, scalable, high-volume manufacturing processes

Process Sustaining

• Own sustaining engineering for assigned process modules — ensure processes remain stable, in control, and within specification
• Monitor Statistical Process Control (SPC) charts; respond to out-of-control signals with structured problem-solving
• Lead Engineering Change Orders (ECOs) for process changes, chemical substitutions, and material updates
• Manage process deviation requests and ensure timely resolution
• Maintain process documentation, control plans, and work instructions per WD QMS

Chemical & Material Engineering

• Lead chemical/material qualification activities including incoming material testing, process compatibility studies, and shelf-life evaluations
• Evaluate alternative chemistries and materials for cost reduction, sustainability, or supply chain risk mitigation
• Work with EHS team to ensure safe handling, storage, and disposal of process chemicals per regulatory requirements
• Support RoHS, REACH, and PFAS compliance reviews for process chemicals and materials

Yield & Quality Improvement

• Lead yield loss analysis and drive structured RCCA (Root Cause and Corrective Action) for process-related defects
• Apply Six Sigma / SPC / Lean methodologies to reduce process variation and improve Cpk
• Partner with Quality Engineering to resolve customer escapes and field returns linked to process issues
• Drive continuous improvement projects with measurable cost and quality impact

NPI & Technology Transfer

• Support New Product Introduction (NPI) process readiness — from process concept to mass production release
• Lead or support technology transfer of new processes from R&D/HQ to Penang manufacturing
• Develop process qualification protocols (PQ), installation qualification (IQ), and operational qualification (OQ) plans

Cross-Functional Collaboration

• Interface with R&D, Product Engineering, Quality, EHS, Supply Chain, and Equipment Engineering teams globally
• Present process data, findings, and recommendations to senior management and global stakeholders
• Collaborate with equipment engineers on process-equipment interactions and optimization

People & Mentorship

• Mentor and coach junior and mid-level process engineers
• Lead technical reviews, knowledge-sharing sessions, and engineering forums
• Support capability building within the Penang process engineering team

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

Job Description:

• Work toward achieving departmental goals related to revenue growth and profitability.
• Identify and develop new business opportunities to expand market reach.
• Prepare professional quotations, proposals, and preliminary system designs for clients.
• Contribute creative ideas and actionable recommendations to enhance sales results and strengthen brand visibility.
• Promote the company’s presence and reputation through effective sales and marketing initiatives.
• Build and maintain strong relationships with business partners and key stakeholders.
• Maintain up-to-date knowledge of security solutions and related technologies to provide high-quality client consultations.
• Support project management activities, attend site meetings, and communicate with clients as needed.

Job Requirement:

• Minimum Degree or equivalent qualification.
• Minimum3 year working experience in solution-based sales, preferably within the industry or similar

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

Job Description:

• In Charge of auditing and assessing the suitability of suppliers
• Responsible for initiating and managing project transfer
• Responsible for guiding and implementing improvement programs as well as negotiating and balancing capacity among suppliers
• Responsible for FA Inspection of casting and machining services
• In Charge of managing the foundries which include quality and delivery performance
• In charge of handling the non-conformance parts follow up
• Responsible for checking and monitoring suppliers to ensure delivery

Requirements:

• Min Diploma in Mechanical / Precision Engineering or relevant
• Min 5 years of experience in Oil & Gas industry with experience in Supplier Quality
• Oversea travelling is required

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

We are seeking a highly skilled Senior Process Integration Engineer to lead the development and optimization of Indium Phosphide (InP) based Edge Emitting Lasers (EELs). In this role, you will be the bridge between design and manufacturing, ensuring that our high-performance optoelectronic devices transition from concept to high-volume production with world-class reliability and yield.

You’ll be working at the frontier of photonics, handling complex material systems and sophisticated fabrication sequences to power the next generation of optical communications and sensing technologies.

Core Responsibilities

• Process Flow Ownership: Design, implement, and manage the full end-to-end fabrication flow for InP-based EELs (e.g., Fabry-Pérot, DFB, and DBR lasers).
• Yield & Performance Optimization: Identify and resolve integration bottlenecks. Use Statistical Process Control (SPC) and Design of Experiments (DOE) to improve device electro-optical performance (threshold current, wall-plug efficiency, and slope efficiency).
• Cross-Functional Collaboration: Partner with Epitaxy (MOCVD) teams to optimize regrowth interfaces and with the Design team to ensure Layout-to-Mask integrity.
• Advanced Fabrication Management: Oversee critical steps including dry/wet etching (ICP/RIE), dielectric deposition (PECVD/ALD), metallization etc.
• Failure Analysis: Coordinate Root Cause Analysis (RCA) on fabrication failures using SEM, TEM, and FIB diagnostics to drive continuous improvement.

Key Technical Requirements

• Materials Expertise: Deep understanding of III-V compound semiconductors, specifically the GaAs/InP/InGaAsP/material systems.
• Device Physics: Strong grasp of semiconductor laser physics
• Fabrication Proficiency: Hands-on experience or good understanding on photolithography, etching, thin film
• Characterization:  Understanding laser characterization data and correlating results back to specific process modules.

Qualifications

• Education: PhD or Master’s degree in Electrical Engineering, Physics, Materials Science, or a related field.
• Experience: 5+ years of direct experience in III-V semiconductor processing
• Software: Proficiency in JMP, or Python for data analysis;
• Mindset: A methodical troubleshooter who thrives in a cleanroom environment and enjoys the "detective work" of process integration.

Description

We are seeking an AI Engineer with strong hands-on experience in Microsoft Azure AI services to design, develop, and deploy AI-powered solutions. The role focuses on leveraging Azure-native AI capabilities, data services, and machine learning tools to build scalable and production-ready intelligent systems.

Key Responsibilities

Design and implement AI solutions using Azure AI services

Build and deploy machine learning / AI models on Azure cloud

Develop APIs and services to integrate AI capabilities into enterprise applications

Work with structured and unstructured data for model training and inference

Collaborate with business and technical teams to define AI requirements

Deploy, monitor, and optimize AI solutions in Azure environments

Ensure performance, scalability, and reliability of AI systems

Support troubleshooting and enhancement of existing AI solutions

Required Skills & Experience

Hands-on experience with Microsoft Azure AI / Azure Machine Learning

Strong understanding of AI/ML concepts and model lifecycle

Experience deploying and consuming models via APIs

Strong programming skills in Python / Java / similar languages

Experience working with data pipelines and data processing

Knowledge of REST API integration and system design

Good to Have

Experience with Azure services (App Service, Functions, AKS, Data Factory)

Familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch)

Exposure to MLOps practices (CI/CD for ML models)

Experience with cloud monitoring and logging tools

Understanding of model evaluation and performance tuning

Soft Skills

Strong analytical and problem-solving skills

Good communication and collaboration abilities

Ability to work in Agile teams

Eagerness to learn and adapt to new cloud AI technologies

About the Role
We are looking for a Junior to Mid-Level ML Engineer to join the Model Engineering team. This role is suited for someone who enjoys working hands-on with computer vision models and understands models as systems to be trained, evaluated, improved, and optimised. You will work across the model lifecycle, including dataset preparation, architecture development, model training, evaluation, performance analysis, and optimisation for real-world computer vision applications.

Responsibilities

• Train, fine-tune, and evaluate computer vision models for classification, object detection, segmentation, pose estimation, and action recognition.
• Improve model performance through architecture enhancements, custom heads, backbone modifications, loss functions, and training strategy optimisation.
• Design experiments, conduct ablation studies, benchmark new techniques, and analyse model trade-offs.
• Investigate edge cases, debug failure cases, and improve model accuracy, robustness, and efficiency.
• Optimise models based on practical constraints such as latency, throughput, resource usage, and hardware limitations.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models.
• Strong hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.
• Experience with computer vision tasks such as classification, object detection, segmentation, pose estimation, or action recognition.
• Experience modifying models beyond configuration-level changes, including architectures, backbones, heads, loss functions, or training pipelines.
• Experience designing experiments, conducting ablation studies, analysing model performance, and debugging failure cases.
• Familiarity with multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with model optimisation techniques such as quantisation, pruning, or distillation.
• Familiarity with experiment tracking, reproducibility, and structured machine learning workflows.

About Us

Vivo Surgical is a patient-focused, clinician-driven medical device developer and manufacturer. Headquartered in Singapore with offices in China and Thailand, we are pioneering a novel endoscopic surgical robot for complex endoluminal surgeries. ISO 13485 certified with international accreditations awarded such as the US FDA and European CE mark, our devices target the medical needs of the world through innovative applications of science & technology. These encompass such fields as in vivo surgical LED lighting, portable endoscopy and endoscopic robots, which are strategically co-developed with world-class healthcare institutions and KOL collaborators. Join us as we build towards our vision of being Asia Pacific’s leading medical device developer and manufacturer.

About The Role

We value the importance of having a robust engineering team that would serve as a key pillar for sustained commercial success. To that end, we are looking for a Verification & Validation (V&V) Engineer to join us on this journey. In this role, you will be part of our fast-paced, fast-growing team and will take ownership of your role from the get-go. You will be planning, performing and documenting the system verification, integration and validation activities of our robotic system. You will be testing the requirements of our surgical robot to ensure that the product functions as intended. You will work with a multi-disciplinary team composed of mechanical, electrical, software and clinical engineers to develop the necessary test setups, protocols and reports. Your role will require you to work in close tandem with our external partners and suppliers.

Your responsibilities shall include the following:

• Interpret and translate system and subsystem design requirements into verification and validation plan.
• Develop test protocols, procedures and methodologies based on requirements and risk considerations.
• Design, develop test fixtures, jigs and test systems for verification activities.
• Execute testing, analyze results and generate comprehensive reports, ensuring full requirements traceability and system characterization.
• Coordinate and support external compliance testing (e.g. IEC 60601-1, IEC 60601-1-2, ISO 10993), including preparation and documentation.
• Contribute to risk management processes including Design FMEA and hazard analysis activities.
• Ensure all test equipment is properly maintained, calibrated and compliant with quality standards.
• Collaborate cross-functionally to investigate, troubleshoot and resolve system issues and failures.
• Drive continuous improvement by contributing ideas and supporting rapid design iterations to better meet user and clinical needs.

Your Qualifications & Experience

• Minimum Bachelor’s degree in Mechanical Engineering, Biomedical Engineering or related discipline.
• Minimum 3 years of experience in the medical device industry, with hands-on involvement in testing electromechanical systems.
• Solid understanding of standards such as IEC 60601-1, IEC 60601-1-2 and ISO 14971 is an advantage.
• Proven experience in developing and executing design verification protocols, generating test reports within a New Product Development (NPD) environment.
• Proficiency in CAD software such as SolidWorks and ability to interpret technical drawings is a plus.
• Familiarity with statistical analysis tools and methodologies such as Gage R&R and Minitab is a plus.
• Strong analytical, troubleshooting, problem-solving and communication skills.
• Adaptable, proactive, and able to thrive in a fast-paced, dynamic startup environment.

Contact

Please send your CV and cover letter to: hr@vivo-surgical.com. We look forward to receiving your application.

Responsibilities:

• Manage and oversee structured cabling projects, particularly in data center environments
• Coordinate with clients, contractors, and internal teams to ensure smooth project execution
• Plan, schedule, and monitor project progress to meet deadlines and budget requirements
• Review technical drawings, cable layouts, and design specifications
• Ensure installation works (copper & fiber optic cabling) meet industry standards and client requirements
• Conduct site inspections, testing, and commissioning activities
• Troubleshoot and resolve technical issues during project execution
• Prepare project documentation, reports, and handover materials
• Ensure compliance with safety regulations and company policies

Requirements:

• Diploma or Degree in Electrical Engineering, or related field
• Minimum 2–5 years of experience in structured cabling or data center projects
• Strong knowledge of structured cabling systems (e.g., Cat6/6A, fiber optic)
• Experience in data center infrastructure (rack setup, patching, containment, etc.)

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Tan Sin Yong (Stella)

EA Personnel Reg No: R24124127

Position Overview

Seeking a skilled Kafka Developer (& support specialist)to join for a client engagement. This role combines development and support responsibilities, focusing on maintaining existing Kafka clusters and enhancing applications as business needs evolve.

Kafka Cluster Management & Support

• Monitor, maintain, and optimise existing Kafka clusters to ensure high availability and performance
• Troubleshoot and resolve Kafka-related issues in production and non-production environments
• Perform regular health checks, capacity planning, and performance tuning of Kafka infrastructure
• Implement and maintain Kafka security configurations and access controls
• Support incident management and provide timely resolution for Kafka-related incidents

Development & Enhancement

• Develop and enhance Kafka-based applications using Java
• Design and implement Kafka producers, consumers, and stream processing applications
• Write clean, maintainable, and well-documented code following best practices
• Collaborate with development teams to integrate Kafka solutions into existing applications
• Conduct code reviews and ensure adherence to coding standards
• Implement monitoring and alerting solutions for Kafka applications

Continuous Improvement

• Identify opportunities for automation and process improvements
• Stay updated with the latest Kafka features and industry best practices
• Contribute to technical documentation and knowledge sharing
• Participate in capacity planning and infrastructure scaling activities

Technical Skills

Kafka Expertise: Strong hands-on experience with Apache/ Confluent Kafka, including:

• Kafka cluster setup, configuration, and administration
• Kafka topics, partitions, replication, and consumer groups
• Kafka Connect and Kafka Streams
• Performance tuning and troubleshooting
• Java Development: Proficient in Java programming with:
• Strong understanding of Java fundamentals and object-oriented programming
• Experience with Kafka Java client libraries
• Knowledge of multithreading and concurrent programming
• Familiarity with build tools (Maven/Gradle)
• Additional Technical Knowledge:
• Experience with message serialisation formats (like JSON)
• Understanding of distributed systems and microservices architecture
• Knowledge of monitoring tools (Prometheus, Grafana, or similar)
• Familiarity with version control systems (Git)
• Experience with CI/CD pipelines is a plus

Professional Experience

• Minimum 3-5 years of hands-on experience with Apache Kafka
• Proven track record in both development and support roles
• Experience in production support and incident management
• Background in maintaining mission-critical systems

QUESSCORP SINGAPORE PTE. LTD

Registration No. 199801439D

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)