Total 478 failure analysis engineer job vacancies in Australia

Job Summary

The T&C (Testing & Commissioning) Engineer will lead testing and commissioning activities for large-scale industrial and solid waste management projects, ensuring operational readiness and compliance with project specifications.

Responsibilities

• Lead and execute testing and commissioning activities for large-scale solid waste management projects including Waste to Energy (WTE), sludge incineration, materials recovery, and food waste treatment facilities
• Apply engineering expertise to operate and validate systems in industrial/process/utilities projects such as waste, water, oil & gas, and power sectors
• Collaborate with project teams to ensure testing and commissioning meet technical and safety standards
• Manage schedules and resources to complete testing and commissioning within project timelines
• Troubleshoot and resolve technical issues during commissioning to ensure system functionality and reliability

Required competencies and certifications

• Hold an EICA certification
• Possess at least 5 years of hands-on experience in testing and commissioning of large-scale solid waste management or industrial/process/utilities projects
• Have a relevant engineering degree or certification

Other Information

• Location: Tuas
• Working Days: 5.5 days per week (Mon to Fri: 8.30am to 5.30pm; Sat: 8.30am to 12.30pm, alternate Saturdays)
• Contract Duration: 2 years
• Salary: $10,000 per month
• Benefits: 2 months gratuity upon completion of 2 years
• Availability: Able to commence ASAP
• Shortlisting: Shortlisted candidates will be invited for interview

☑ Good Bonuses

☑ Near MRT

☑ Family Friendly Environment

Job Description:

• Design, implement, and support enterprise network infrastructure.
• Deliver network solutions and infrastructure projects.
• Monitor, troubleshoot, and optimize network performance and security.
• Manage technology lifecycle, documentation, and operational support.

Requirements:

• At least a Diploma with at least 4 years of network engineering experience.
• Strong knowledge of routing, switching, security, and network protocols.
• Hands-on experience with Cisco, Check Point, Palo Alto, and Fortinet technologies.
• CCNP and firewall certifications preferred, with strong troubleshooting skills.

Loh Puay Hwee David

EA License | 24C2215

EA Registration Number | R1766892

Client introduction

Our client is an established fintech headquartered in Singapore, operating across payments and foreign exchange with a footprint spanning Asia and beyond, including a significant client base in Greater China. As the business scales towards its next stage of growth, they are building out the senior layer of their reliability function.

They are hiring a newly created Lead Site Reliability Engineer (Quality Assurance) sits within the SRE team as a key technical hire and co-lead with the Head of SRE.

Job responsibilities

• Own production reliability across the FX and payments platforms - monitoring, observability, alerting, and the definition and tracking of SLIs and SLOs.
• Lead incident response end to end, including war rooms, post-mortems, root-cause analysis and the upkeep of operational runbooks.
• Strengthen quality assurance across the platform - improving test coverage, release sign-off standards, and modernising legacy test automation toward more automated and AI-assisted workflows.
• Support client API integration from sandbox to production, including liquidity provider onboarding and conformance testing.
• Act as the technical escalation bridge between clients, internal users and engineering, supporting China-based clients directly on production and integration issues.
• Lead business continuity and disaster recovery testing, including failover, recovery and audit evidence preparation.
• Contribute to DevOps and tooling improvements across reliability, testing and support.
• Coach and uplift a team of junior SRE and QA engineers, setting standards and mentoring on best practice as the function matures.

Job requirements

• At least 6 years of experience in site reliability, production support, platform engineering or technical operations, ideally within fintech, payments, FX, trading systems or another high-availability environment.
• Strong hands-on troubleshooting across production systems, logs, APIs and application behaviour.
• Hands-on quality assurance exposure - test automation, release support or regression testing - as the role spans both reliability and quality.
• Working knowledge of API integration and comfort in client-facing or client-support situations; sandbox-to-production experience is an advantage.
• Solid fundamentals across cloud and containers (AWS, Docker, Kubernetes), monitoring and observability tooling (Grafana, Prometheus, OpenSearch, CloudWatch), and scripting (Python, Java, Bash).
• People management or team-lead experience is necessary.
• Sound grounding in incident management, RCA and BCP/DR practice.
• Professional spoken and written Mandarin proficiency is required to communicate directly with China-based clients and stakeholders, support production issues, and manage API integration activities.
• Suited to someone hands-on today who wants to grow into a broader leadership role. Candidates requiring relocation to Singapore are welcome to apply. Relocation expenses will not be provided for this position.

Why you should join them

• A newly created, high-visibility role as second-in-command within the reliability function, with a genuine path to grow into a deputy or co-leadership position through succession planning.
• Direct exposure to senior engineering leadership, reporting to the Head of Engineering and working alongside the infrastructure team.
• Broad ownership across reliability, quality, client integration and incident management, with room to shape how these run rather than inherit a fixed playbook.
• A modern technical environment with real appetite for AI-assisted tooling across testing, RCA and support, plus a hybrid working arrangement.

JL
Reg. No. R1766249
BeathChapman Pte Ltd
Licence no. 16S8112

Job Description

• Industry/ Organization Type: MNC Industrial Electrical Technical Solutions Provider
• Position Title: Technical Sales Engineer
• Working Location: Central – Toa Payoh
• Working Hours: 5 days / Monday to Friday: 8.30 am-5.30 pm
• Salary Package: Up to SGD 4500 + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Analyze clients’ technical requirements and recommend tailored solutions
• Craft and deliver engaging technical presentations, product demos, and proposals
• Lead pre-sales activities, including site visits, technical inquiries, and tender submissions
• Collaborate with engineering and product teams to develop customized applications and support
• Provide post-sales technical assistance and conduct training sessions as needed
• Oversee major accounts including international conglomerates, government bodies, and top consulting firms
• Support regional branches in business development and marketing initiatives

APPLY NOW!!!

• Diploma in Electrical/Mechatronics/Electronic/Mechanical Engineering
• Min. 1 year of working experience in related field
• Experience in power systems, UPS, or related sectors is a plus
• Training is provided to inexperience candidate
• Ability to read and interpret technical drawings, specifications, and schematics
• Proficiency in Microsoft Office, AutoCAD, or other relevant engineering software is an advantage
• Willingness to travel for client meetings and site visits

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #77201 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

1. Installation, maintenance and servicing of a wide variety of equipment including but not limited to:

• General security systems
• Alarm systems
• CCTV systems
• Access control systems

2. Troubleshoot problems encountered on site

3. Diagnose and resolve issues related to network connectivity, server performance, and communication between security systems (e.g., CCTV, alarm systems, access control systems).

4. Provide feedback to management on issues faced on the ground

5. Perform routine maintenance and firmware updates on servers, network devices, and security system software to ensure systems remain reliable and up-to-date

Job Requirements

• Candidate must possess at least a NITEC or Diploma in Engineering (Electrical/ Electronic/ Information Technology) or equivalent
• Minimum 2 years’ experience in Operational Technology/ Information Technology industry
• Knowledge of networking and IP/TCP protocol
• In-depth knowledge in CCTV, Access Control and System Server etc.
• Hands-on experience in security-related tasks such as OS tightening, patching and updating, virus scanning will be an added advantage.
• IT Certification in windows system & storage, network, database, virtualization, cloud technologies will be an added advantage
• Good communication skills and positive working attitude.

Benefits

• Annual Wage Supplement (13th month) and Performance Bonus
• Medical and Dental Benefits
• Corporate Insurance coverage
• Annual Pay Increment

Clarice Lim (R1656152) | Anchor Search Group Pte Ltd (17C8528)

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Design, develop, and maintain control systems and automation solutions for manufacturing processes. 
• Troubleshoot PLC, HMI, SCADA, sensors, drives, and instrumentation issues. 
• Optimize machine performance, reliability, and Overall Equipment Effectiveness (OEE). 
• Lead root cause analysis and implement corrective and preventive actions for equipment failures. 
• Support new equipment installation, commissioning, and validation activities. 
• Develop and update electrical drawings, control logic documentation, and standard operating procedures. 
• Coordinate with production, maintenance, quality, and engineering teams to ensure operational excellences. 

This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

Mechanical Design Engineer (Semiconductor Tooling Design)

5 days, 8.30am-6.15pm

Salary: $3500- $6000

Location: Ubi 

Company background:

Specializes in Semiconductor Backend Tooling including Die Attach Tools, Wire Bond Tools & Bond Test Tools

Job Responsibilities:

• Design and development of Semiconductor Tools and mechanical systems.
• Planning, Scheduling and Costing of Tools and Mechanical Modules
• Responsible for 3D & 2D drawings, tolerance analysis, BOM preparation.
• Working closely with Electrical, Vision and Software Engineers.
• Willing to work extended hours in critical phases of project execution.

Job Requirements:

• Diploma or Degree in Mechanical Engineering or related Technical disciplines.
• Minimum 3 years of design experiences in semiconductor tooling
• Experience with Design and Development of High-Speed Pick and Place Systems, Flip Chip Bonders, Die Attach Machines, and Lamination Machine is a definite plus
• Proficiency with CAD Software is a must.
• Experience with vision application, thermal modelling, calculation and measurement techniques would be an advantage.

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

About Cynapse 

Cynapse is a leading Agentic AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Agentic 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. 

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 looking for a Junior to Mid-Level Machine Learning Engineer to join our Model Engineering Team. This role is intended for engineers who view models as systems to be understood, developed, and improved rather than simply consumed as black-box components.

You will contribute across the full model lifecycle, from dataset preparation and architecture development to training, evaluation, and optimisation. Working closely with experienced engineers, you will improve model performance through experimentation, data-centric approaches, and systematic analysis, helping to build robust and efficient computer vision systems for real-world applications.

What You’ll Do: 

• Train, fine-tune, and evaluate computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and action recognition.
• Contribute to model development through architecture enhancements, custom heads, loss functions, and training strategy optimisation.
• Design and execute experiments to evaluate model improvements and performance trade-offs.
• Prototype, benchmark, and assess new architectures, techniques, and approaches against established baselines.
• Investigate edge cases and performance limitations, and improve model accuracy, robustness, and efficiency.
• Consider practical constraints such as latency, throughput, resource efficiency, and hardware-specific optimisation.
• 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 through academic, project, internship, or professional work.
• Hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.

Bonus Skills 

• Experience modifying models beyond high-level APIs (e.g. custom heads, backbone modifications, loss functions, or training pipelines).
• Exposure to multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with optimisation techniques such as quantisation, pruning, distillation.
• Familiarity with experiment tracking, reproducibility, or MLOps practices.

Personal Competencies 

• Strong interest in understanding how model architectures, data quality, and training strategies influence performance.
• Enjoy experimentation, performance analysis, and iterative model improvement.
• Eager to take ownership of model components and grow into increasingly complex model development responsibilities.

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

Job Details:

• Salary Range: $5,500 - $6,000
• Working Hours: Monday - Friday (office hours)
• Central Area : Havelock MRT Station
• Yearly Renewable Contract

Hiring AI Specialist to Develop, implement and optimize AI solutions. Strong programming and machine learning skills required.

Key Responsibilities

• Lead the design, development, and deployment of AI and machine learning solutions
• Manage AI platforms, infrastructure, and model lifecycle (development to production)
• Drive end-to-end AI projects, including problem definition, data analysis, model building, and implementation
• Provide technical leadership and guidance to AI/data teams
• Collaborate with cross-functional stakeholders (business, policy, IT) to translate requirements into AI solutions
• Ensure compliance with AI governance, ethics, and cybersecurity standards
• Support adoption of AI best practices within a regulated/government environment
  

Requirements

• Degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or related field
• Strong knowledge in: Machine Learning & Deep LearningData Analytics & Statistical Modelling AI frameworks and tools (e.g., Python, TensorFlow, PyTorch)
• Understanding of AI governance, ethics, and cybersecurity principles

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform -GO Mobile https://sg.persolgo.com/job/apply/16101

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 • EA Registration No. R23117223 (Poh Siew Ling)

• Remuneration Package: Up to $5,500 + Fixed Allowances $300 + AWS + Attractive Variable Bonus
• Working Location: Jurong Island (Company Transport Provided)
• Requirements: Instrumentation Experience in Chemical Plant is preferred

Advance Your Engineering Career in a World-Class Petrochemical Manufacturing Environment

Are you passionate about industrial automation, instrumentation, and plant reliability? Join a leading global petrochemical manufacturer operating one of Singapore's advanced manufacturing facilities, where you'll work with cutting-edge process technologies, sophisticated automation systems, and high-performance engineering equipment.

As an Electrical & Instrumentation Engineer, you will play a key role in ensuring the safe, reliable, and efficient operation of critical manufacturing facilities while contributing to continuous improvement and plant optimisation initiatives.

Key Responsibilities

• Lead and coordinate preventive, predictive, and corrective maintenance activities for instrumentation and electrical systems to ensure safe and reliable plant operations.
• Plan, coordinate, and execute major maintenance activities with a strong emphasis on safety, quality, and operational excellence.
• Collaborate closely with production, engineering, contractors, and external stakeholders to minimise downtime and ensure timely completion of maintenance works.
• Conduct instrumentation studies, troubleshoot complex plant issues, and implement system modifications based on operational and business requirements.
• Support plant improvement projects involving instrumentation, automation, and process control systems.
• Provide technical guidance and competency development for technicians and contractors through structured training and coaching.
• Ensure compliance with quality, environmental, and safety management systems, including ISO 9001, ISO 14001, and SS651 standards.
• Participate in emergency response activities and provide timely technical support for critical instrumentation issues.

Requirements

• Degree in Electrical Engineering, Electrical & Electronic Engineering, Instrumentation Engineering, or related disciplines.
• Minimum 3 years of maintenance or engineering experience within the petrochemical, chemical, refinery, power generation, oil & gas, or heavy industrial sectors.
• Hands-on experience maintaining plant instrumentation and process control equipment.
• Exposure to Distributed Control Systems (DCS), Process Gas Chromatographs (PGC), or other industrial automation systems will be an added advantage.
• Familiarity with SAP PM and Microsoft Office applications is advantageous.
• Strong analytical, troubleshooting, communication, and stakeholder management skills with the ability to work effectively in a collaborative environment.

Why Join?

• Competitive remuneration package with AWS and attractive performance bonus
• Stable organisation with long-term career development opportunities
• Work with advanced automation, instrumentation, and process control technologies
• Exposure to large-scale continuous manufacturing operations
• Structured learning environment with opportunities to develop technical and project management capabilities
• Company transport provided for convenient commute to Jurong Island

If you're looking to build your career in a technically advanced manufacturing environment while working alongside experienced engineering professionals, we'd love to hear from you.

Interested candidates can forward their CVs in MS Word format to weiyan@triton-ai.com

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661

Job Description

• Industry/ Organization Type: Equipment Supplier
• Position Title: Business Development / Sales Engineer (Semiconductor Equipment)
• Working Location: West – Jurong East (Walking distance to the company from MRT)
• Working Hours: 5 days / Monday to Friday, 9am-6pm
• Salary Package: Up to SGD 5000 + Monthly Commission + AWS + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Drive sales of semiconductor equipment to meet and exceed sales targets
• Collaborate with customers to evaluate systems, parts, and materials
• Manage customer inquiries, RFQs, sales proposals, and quotation processes
• Build and maintain strong customer relationships, understanding their needs and delivering tailored solutions to ensure long-term partnerships
• Coordinate with customers and R&D on sales activities, including presentations, quotations, specification confirmations, negotiations, commissioning/acceptance, and post-sales support
• Lead sales negotiations and ensure successful deal closures
• Implement strategies to expand market share for assigned products and services
• Prepare and submit sales reports for internal purposes
• Respond promptly and efficiently to customer queries
• Undertake any additional assignments as directed by management

APPLY NOW!!!

• Min. Diploma in Engineering
• Proficient in Microsoft Office
• Min. 1 year of sales experience, preferably experience in the semiconductor industry
• Training is provided to inexperienced candidate

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #76685 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

• Provide presales technical support by designing and recommending suitable technology solutions that address clients’ business and technical requirements.
• Work closely with the sales team to analyze customer needs and propose effective cybersecurity and networking solutions.
• Deliver product presentations and live demonstrations to customers, partners, and internal teams.
• Prepare technical proposals, solution architectures, and compliance matrices for tenders and project bids.

Requirements:

• Diploma in IT or equivalent
• At least 2 years of presales experience within the IT networking and cybersecurity domain.
• Experience with technical presentations, product demonstrations, and proof-of-concept deployments.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Role Overview

We are seeking a Full-Stack Engineer with strong software engineering capabilities and practical experience in AI-powered application development. The successful candidate will be involved in the full software development lifecycle, from requirements gathering and solution design to implementation, testing, deployment, and ongoing support.

This role offers the opportunity to work on modern digital solutions incorporating AI, Large Language Models (LLMs), intelligent automation, and enterprise-grade applications.

Key Responsibilities

Business & Solution Analysis

• Analyse business requirements and identify suitable technology solutions.

• Gather, document, and refine functional and technical requirements.

• Evaluate alternative approaches and recommend optimal solutions.

• Collaborate with stakeholders to clarify requirements and obtain solution acceptance.

• Assess enhancement requests and evaluate their impact on existing systems.

Application Development

• Design, develop, and deliver high-quality software applications.

• Build scalable backend services, APIs, and full-stack solutions.

• Integrate AI and LLM capabilities into business applications and workflows.

• Develop and maintain technical architecture and design documentation.

• Ensure software quality through code reviews, testing, and engineering best practices.

Quality Assurance & DevOps

• Support the development of automated testing and quality assurance processes.

• Troubleshoot defects and implement timely bug fixes.

• Contribute to CI/CD pipelines and deployment automation.

• Collaborate with DevOps teams to improve build, release, and operational processes.

Support & Operations

• Support deployment activities and user adoption of new solutions.

• Investigate system issues and implement effective resolutions.

• Improve system reliability and establish preventive measures to reduce recurring incidents.

• Ensure compliance with organisational IT governance, quality, and security standards.

Requirements

Education

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

Technical Skills

• Strong proficiency in Python development.

• Experience building backend APIs using frameworks such as FastAPI.

• Solid understanding of software engineering principles, data structures, and system design.

• Experience integrating with REST APIs and external services.

• Familiarity with software testing, debugging, and performance optimisation.

AI & Large Language Models (LLM)

• Strong understanding of LLM concepts, including:

  • Tokenisation

  • Context windows

  • Prompt engineering

  • API integration with AI platforms

• Experience working with AI platforms such as:

  • OpenAI

  • Anthropic

  • Google Gemini

  • AWS Bedrock

• Hands-on experience building AI-powered applications and workflows.

Agentic AI & RAG

• Experience developing AI agents and autonomous workflows.

• Familiarity with orchestration frameworks such as:

  • LangChain

  • LangGraph

  • LlamaIndex

• Experience implementing Retrieval-Augmented Generation (RAG) solutions.

• Knowledge of vector databases such as:

  • Pinecone

  • Weaviate

  • FAISS

• Understanding of embeddings, semantic search, and external knowledge retrieval techniques.

Enterprise Application Experience (Preferred)

• Experience with enterprise application platforms is advantageous.

• Experience integrating AI capabilities into enterprise workflows will be highly regarded.

• Exposure to at least one complete software development lifecycle project is preferred.

Cloud & Modern Engineering Practices

Experience in one or more of the following areas:

• Agile software development methodologies

• CI/CD pipelines and DevOps practices

• Cloud platforms (AWS, GCP, Azure, or equivalent)

• Serverless architectures

• Docker and container technologies

• Microservices architecture

Additional Preferred Experience

• Business Analysis or consulting experience.

• Experience delivering medium to large-scale enterprise projects.

• Knowledge of:

  • RESTful services

  • Secure file transfer solutions

  • Application security principles

  • System integration patterns

• Experience facilitating requirements workshops and translating requirements into Agile user stories and acceptance criteria.

• Experience supporting SIT, UAT, and production deployment activities.

Personal Attributes

• Self-motivated and able to work independently.

• Strong analytical and problem-solving skills.

• Excellent communication and stakeholder management skills.

• Strong collaboration and teamwork mindset.

• Effective presentation, facilitation, and listening skills.

• Passion for emerging technologies, AI innovation, and continuous learning.

Why Join Us

• Work on innovative AI and intelligent automation initiatives.

• Gain hands-on experience with LLMs, AI agents, and Retrieval-Augmented Generation (RAG) technologies.

• Contribute to enterprise-scale digital transformation projects.

• Collaborate with multidisciplinary teams in a dynamic and technology-driven environment.

• Opportunity to grow your expertise in cloud-native architectures, modern software engineering, and next-generation AI solutions.

• Well Established Company
• Salary $2550 - $3650 (Basic) + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Tuas Crescent (Company Transport Provided)
• Working day: Monday to Friday
• Working hours: 8.30am to 5.15pm

Job Responsibilities:

• Prepare and produce AutoCAD electrical drawings.
• Prepare production drawings, including detailed BOM list.
• Generate as-built drawings based on panel testing, FAT and SAT, as required.
• Attend meetings with Sales/Project teams to resolve drawing-related issues and liaise with consultants/customers on design matters and drawing preparation.
• Able to travel to Malaysia. Able to perform overtime as and when required.
• Carry out urgent tasks and drawing assignments as directed by the superior.
• Provide support to Project Engineers when additional manpower is required.
• Attend panel Factory Acceptance Tests in Singapore or Malaysia, as required.

Job Requirements:

• Diploma in Electrical Engineering or equivalent
• Minimum 1 year of relevant experience
• Proficiency in AutoCAD will be an added advantage

Candidates are encouraged to apply this position via ApplyNow button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will becontacted.

YEOW CHANG FU (R23118759)

EA Recruitment Pte Ltd

EA License No: 21C0492

Project Overview

This project aims to develop a real-time blood analysis and diagnostic platform using an integrated microfluidic chip. This platform uses precision microfluidic technology to process and profile the biological activity of white blood cells which is related to a host of inflammatory conditions ranging from diabetes, sepsis to leukemia. The platform developed will enable point-of-care diagnosis of diseases and this project will accelerate the platform from bench to bedside through the development, deployment and testing of clinical samples.

This Engineering position offers a rare opportunity to bridge the gap between laboratory discovery of new technologies and real-world implementation of clinical deployment and testing. 

Responsibilities

The engineer is responsible for the design, prototype, manufacturing and testing of the medical device. This involves the use of with computer-aided design prototyping, setting specifications and assembly of mechnical/electrical components, testing and deployment of device for field testing.

Responsibilties include:

- To work closely with a team of clinical, mechanical/software engineers and data scientist for the medical device design and prototyping. Gather feedbacks on prototype designs by end-users.

- To Validate designs by analysing data gathered from component or system level testing. Use benchmarking techniques to characterise component and device performance.

- To ensure proper documentation of design history files and standardization of data storage for reports, presentations, technical and administrative documents.

- To source for vendors and components to ensure manufacturability and cost of medical device.

- To support the team for maintenance of equipment, inventory and purchases.

Requirements

- Bachelors/Masters in Mechanical, Electrical, Biomedical Engineering with at least 1 years of experience in hardware prototyping and/or microfluidic operations.

- Rapid prototyping experience in areas such as 3D printing, laser cutting, CNC, injection molding, microcontroller/microprocessor programming and relevant skills in embedded system.

- Prefered experience in commercial manufacturing, R&D project management and hardware testing/certification.

- Excellent debugging skills and strong ability to root cause, isolate and solve software/hardware system issues.

- Fluent in C++, Python (3.X) and relavent coding languages for software-hardware integration.

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

- Good communication and managing skills are important to work with colleagues efficiently in addition to creativity to solve problems and find improvements on products and processes already in place.

- Required experience and knowlegde to read or write scientific publications, patent search, schematics and data sheets for hardware components.

- Able and commited to work in Singapore. Willing to commute and meet regularly with vendors and collaborators at NUS, NUH, and partnering hospitals.

- Strong documentation and writing skills

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

Relevant Skills

2D/3D Computer Aided Designs, C++, Python, Operating CNC/3D printers, basic use of machine tools, electronics circuit design, Github 

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.