Total 1,861 construction engineer job vacancies in The Philippines

Position Summary:                    

This role partners closely with stakeholders to recommend and implement integrated technology solutions that align with business needs. Acting as a bridge between stakeholders and technical teams. Working at the intersection of AI, Data Engineering, and Operations, the team identifies opportunities, translates business requirements into actionable solutions, and drives measurable impact across Manufacturing and its supporting functions.

Position Responsibilities:

• Assess stakeholder needs and business objectives to identify the most suitable digital tools and technology solutions.

• Present clear, data-driven justifications for selected solutions, highlighting benefits such as scalability, integration capability, user experience, and ROI.

• Facilitate stakeholder discussions and workshops to gather input and ensure consensus on solution adoption.

• Develop and maintain process documentation, workflows, and solution blueprints to ensure clarity and continuity across teams.

• Experience applying AI or intelligent techniques to improve data quality, monitoring, or development workflows.

Position Requirements:

• Excellent communication and facilitation skills to lead workshops, training, and stakeholder engagement effectively.

• Strong documentation skills to develop clear process flows, project plans, and solution blueprints ensuring transparency and continuity.

• In-depth knowledge of manufacturing systems, including MES, LIMS, and SAP, to align digital solutions with operational workflows.

Preferred Experience/Education/Skills:

• Bachelor’s or master’s degree in computer science or related discipline.

• Over 5 years of experience participating in end-to-end Software Development Life Cycle (SDLC) projects

• Successfully led more than 1 projects from initiation to completion.

• Familiarity with project management tools such as Jira for tracking, planning, and coordinating project activities.

• Strong ability to analyze business and operational processes to design scalable, data-driven solutions that align with organizational goals.

• Proven ability to diagnose and resolve complex technical and process-related issues.

• Experience on software development and scripting skills with languages and frameworks such as C#, Angular, and NestJS is a must.

• Experience with both relational (e.g., SQL Server) and non-relational databases, alongside data warehousing technologies like Snowflake, to manage and model enterprise data effectively is a must

Location: Woodlands

Working hours: Mon to Fri, 830am to 530pm

The Job:

• Establish standard operating procedures for product engineering and manufacturing processes on the testing floor
• Conduct Failure Mode and Effects Analysis (FMEA) to identify and mitigate potential process failures
• Review and analyze test yield data to identify issues and implement yield improvement actions
• Determine disposition for hold lots based on yield and quality analysis
• Perform device and hardware tester qualification, correlation, and generate associated reports
• Develop and execute Design of Experiments (DOE) to optimize testing and manufacturing processes
• Resolve technical issues related to device testing to support manufacturing operations effectively
• Liaise with customers to understand and implement new production specifications during New Product Introduction (NPI)
• Coordinate device startup and transfer activities to ensure smooth production transitions

The Talent:

• Degree in Electrical & Electronics Engineering with min 1 year of relevant working experience.
• Fresh graduates are welcome.
• Strong team player with good communication skills.
• High level of ambition and a strong desire to learn.
• Singaporeans only.

Next Step:

• Interested applicants, please send your resume to yingchong.koh@adecco.com with your current and expected salary.
• All shortlisted candidates will be contacted.

Koh Ying Chong

EA License No: 91C2918

Personnel Registration Number: R23116418

Key Responsibilities:

• Responsible for the performance, power consumption, and reliability testing and analysis of NAND memory products, and formulating test specifications and verification processes.
• Develop and maintain test equipment (ATE), including the definition and implementation of test modes such as BIST, DFT, and DFM, continuously improving test coverage and optimizing test time.
• Locate the causes of product failures after delivery and at the wafer stage through electrical failure analysis, design circuit analysis, physical failure analysis, and data analysis.
• Collaborate with the product design team and process team to identify the root causes of failures and drive the implementation of solutions.
• Support the testing and debugging of products in system-level applications (such as SSD, UFS, eMCP) to ensure efficient use by customers and the system side.
• Complete user manual verification, product test function verification, and participate in other test-related tasks assigned by the supervisor.

Required Qualifications:

1. Education and major: Master's degree or above in microelectronics, integrated circuits, electronic engineering, computer science, automation, physics, materials science, or other related STEM fields.

2. Experience requirements:

• Familiar with semiconductor product principles and testing mechanisms; background in memory (NOR/NAND Flash, SRAM, DRAM, phase-change memory, ferroelectric, etc.) testing or design verification is a plus.
• Experience in testing 3D-NAND, TLC/QLC, or flash memory products is a plus.
• Experience with successfully tape-out and mass-produced memory chip projects is a plus.

3. Technical skills:

• Proficient in C/C++, Python, Perl, etc., and familiar with UNIX/Linux environments.
• Experience in ATE (Automatic Test Equipment) development (e.g., T5830, T5833, Magnum V93K, etc.).
• Familiar with the functions, performance, and reliability indicators of memory products.
• Familiar with design-for-test (CFT), DFM, and other design-for-test (CFT) methodologies.

4. Other skills:

• Strong logical analysis, learning, and problem-solving abilities.
• Good communication, organizational, and teamwork skills.
• Proactive, steady, meticulous, responsible, and able to work under pressure.

As a heating, ventilation and air conditioning (HVAC) engineer, you will ensure temperature and ventilation systems are working efficiently and safely. 

The job role of a HVAC engineer involves the following duties:  

• Surveying sites ahead of fitting heating, ventilation or air conditioning systems 
• Planning the placement of pipework, ducts and control panels 
• Installing HVAC components 
• Performing quality checks to ensure systems are working efficiently and safely 
• Carrying out maintenance on HVAC systems 
• Finding and fixing faults 
• Helping customers to reduce their energy use

Skills

• Understanding of building and construction 
• Capable of using tools and machines 
• Excellent attention to detail 
• Good customer service skills 
• Logical thinking skills 
• Ability to use your initiative. 

Job Description:

• Develops and optimizes BCD process technology and devices for power applications, involving TCAD simulations, device layout, characterization, and bench testing
• Develop and integrate new BCD device architectures and process modules for company BCD platforms.
• Conduct TCAD simulations to understand device behavior and calibrate simulation models to match experimental results.
• Design and lay out device test structures and new BCD device platforms.
• Analyze device performance and reliability through bench testing and data collection.
• Work with cross-functional teams, including the modeling team, to satisfy customer needs and develop advanced device models.

Job Requirement:

• Min Degree in Physics or Electrical Engineering.
• Min 3 year of expereince in TCAD (Technology Computer-Aided Design) tools for simulation and calibration.
• Experience with device layout, design rule checks, and test structure generation.
• Knowledge of BCD process development and device characterization techniques.

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

Technical Sales Engineer

About the Company

Our client is a provider of power electronics and test & measurement solutions, serving industries such as electronics manufacturing, R&D, automation, renewable energy, and electric vehicles.

Key Responsibilities

• Promote and sell AC/DC power supplies, AC sources, and related power solutions.

• Develop new business opportunities while managing and growing existing customer accounts.

• Understand customer requirements and recommend suitable technical solutions.

• Conduct product presentations, demonstrations, and technical discussions.

• Prepare quotations, negotiate pricing, and support sales closure.

• Build strong relationships with customers, distributors, and system integrators.

• Coordinate with internal teams to ensure smooth project execution and customer support.

• Monitor market trends, competitor activities, and customer needs.

Requirements

• Diploma or Degree in Electrical & Electronic Engineering, Power Electronics, or related discipline.

• Minimum 2 years of experience in Technical Sales, Sales Engineering, or Application Engineering.

• Knowledge of power electronics, AC/DC power systems, or test & measurement equipment.

• Ability to understand technical specifications and electrical schematics.

• Strong communication, presentation, and customer management skills.

• Self-motivated, results-driven, and willing to travel for customer visits when required.

For interested applicants, kindly send your resume in Word/PDF format to include the following in your resume including:

1. Current Salary

2. Expected Salary

3. Availability

4. Reason for leaving

Thank you for your application and we regret that only shortlisted applicants will be notified

By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers with the services provided by us.

NGUYEN THI DOAN | R23116355

RRecruiter Pte. Ltd. | 18C9514

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.