Total 3,287 Engineering job vacancies

• Design, develop, and maintain scalable data pipelines and data processing frameworks.
• Build ETL/ELT solutions to ingest, transform and process structured and unstructured data.
• Develop high-performance data workflows using Python, Spark and distributed computing technologies.
• Implement data models, data lakes, warehouses and Lakehouse architecture.
• Develop and support data pipelines powering AI/ML models and analytics solutions.
• Partner with Data Scientists to produce machine learning models.
• Build feature engineering pipelines and reusable ML datasets.
• Implement MLOps practices, including model deployment, monitoring and lifecycle management.

Skills/Requirement -

• Strong hands-on experience in Data Engineering.
• Hands-on experience building large-scale data pipelines.
• Strong programming experience with Python.
• Experience working with cloud-based data platforms.
• Exposure to AI/ML model lifecycle and MLOps practices.

About the Team:

As part of the Search, Recommendation, Ads (Engineering & Architecture) team, We build and operate the search engine that powers retrieval and ranking across the company. The system is built on Vespa (a ~1.7M-line C++/Java codebase) and runs at scale across hundreds of nodes. Our work spans the full stack: cluster orchestration, HNSW-based vector indexing, rank expression evaluation, capacity planning, and the developer tooling that keeps all of it shippable. We care a lot about correctness, latency tails, and operational simplicity.

Job Description:

• Design, implement, and operate components of the search engine — indexing, query execution, ranking, or storage using C++

• Improve indexing and retrieval performance: SIMD-friendly data layouts, cache-aware algorithms, lock contention

• Extend vector search capabilities (HNSW and beyond) and integrate them cleanly with traditional inverted-index retrieval

• Build tooling and automation that makes the team faster — capacity models, fault-injection tests, deployment checks, AI-assisted workflows

• Participate in design reviews, code reviews, and on-call rotation

Job Requirements:

• Bachelor's Degree or higher in Computer Science or related field

• At least 5 years of full time backend development experience using C++/Go/Python

• Experience working on Vespa Search Engine is preferred

• Familiarity with vector search and ANN algorithms (HNSW, IVF, PQ).

• Solid foundation in data structures, algorithms, and systems. You can reason about cache behavior, memory layout, and concurrency..

• Experience operating non-trivial services in production: profiling, debugging core dumps, reading flamegraphs, tracing distributed requests.

• Comfortable working in a large existing codebase. 

• Strong written communication. You write design docs and PR descriptions that the next on-call can actually use.

Our client is a Manufacturing MNC, one of the leading players in the Contract Manufacturing sector. Due to business needs, they are now recruiting a QA Engineer to be part of their Quality team for ongoing transformation projects. They are located in the North – easily accessible.

Duties of QA Engineer

• Ensure the compliance of quality-related issues (internal, supplier, customer)
• Maintain product quality issues
• Handle releasing of finished goods and performing quality assurance
• Work with the team on managing customer and supplier complaints.
• Oversee and liaise in the effectiveness of the Corrective and Preventive action and ensure CAPA is closed on a timely basis.
• Responsible in risk management activities
• Provide support to any other quality matters as and when required, which including provide training to internal stakeholders

Requirements

• Minimum Diploma in relevant discipline
• 2-3 years of quality assurance experience in manufacturing industry
• Experience in ISO13485

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

EA License No: 19C9682
EA Personnel No: R2198636
EA Personnel Name: Oh Puey Xin

Key Responsibilities

• Responsible for the identification and development of sales opportunities for construction materials testing for the construction industry.
• Identify, develop and follow-up on new sales leads and prospects by cold calling, emailing or scheduling meetings in person.
• Present information about company offerings during trade shows or other event to potential customers.
• Generate prompt and accurate quotations for inquiries.
• Build, strengthen and optimize relations with clients, prospects and partners.
• Ensure timely response to customer's enquiries and feedback.
• Remuneration will be based on On-Target Earning Scheme.

Key Requirements

• Possess a bachelor's degree or Diploma in Civil, Mechanical, Material Sciences Engineering or any other relevant fields, preferably with at least 2 years of direct sales experience
• Prior work experience in building, construction or M&E consultancy industries is preferred
• Has passion and ability to manage a wide diversity of services
• Clear and articulate presentation ability with excellent communication skills
• Strong interpersonal skills and customer focus to establish positive relations
• Mature, self-disciplined and results-driven
• Office located at Tuas

*For Singapore Applicants Only: PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.

Position Summary

We are looking for a Test Engineer - Software (AI) who will be responsible for ensuring the quality, reliability and performance of AI-driven software systems through structured test planning, execution and automation. This role works closely with cross-functional teams to validate AI system designs, identify issues early, improve testing efficiency and ensure AI-driven solutions meet project goals through effective technical execution and communication.

Key Responsibilities

Test Design & Coverage

• Design and maintain effective test plans and test cases based on product requirements and system architecture

• Identify critical test scenarios, edge cases and failure modes across functional, integration and performance layers

• Contribute to risk-based testing strategies to ensure optimal test coverage

White-box & Developer Collaboration

• Work closely with developers to understand code design and contribute to unit and white-box testing

• Support developers in improving testability, code coverage and test design

• Review code and test implementations to ensure quality and maintainability

Test Execution & Quality Assurance

• Execute end-to-end testing across APIs, application workflows and embedded systems

• Validate system performance, stability and reliability under different usage scenarios

• Investigate, reproduce and track defects; partner with engineers to drive timely resolution

AI driven Software Solution Validation

• Design test inputs, prompts and datasets to evaluate AI system behaviour.

• Validate the outputs for accuracy, consistency and robustness using defined evaluation criteria.

• Perform regression and scenario-based testing to ensure stable model performance across releases.

Test Automation & Tooling

• Develop and maintain automated test suites for regression and feature validation.

• Contribute to automation frameworks and integrate tests into CI/CD pipelines for continuous validation.

• Build tools or scripts to improve testing efficiency, repeatability and coverage.

Collaboration & Engineering Practices

• Work closely with software and AI engineers to understand system design and provide early quality feedback.

• Contribute to improving test frameworks, coding standards and engineering best practices.

• Produce clear test reports, metrics and insights to support release decisions.
  

Requirements

• Min. Degree in Computer Engineering, Computer Science or a related software engineering field.

• Min. of 2 years of relevant experience in a similar role, with proven hands-on experience in planning, designing and conducting software testing on AI related products.

• Strong understanding of unit testing, white-box testing and code-level validation.

• Proficiency in programming (e.g, Python) with experience writing testable and maintainable code.

• Hands-on experience with test automation frameworks (e.g, Pytest, Selenium or similar).

• Experience testing APIs and backend systems.

• Familiarity with CI/CD pipelines and version control (e.g, Git).

• Basic understanding of AI/ML systems or strong interest in AI testing.

• Strong debugging, analytical thinking and attention to detail.

• Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.

• Candidates must meet legal requirements to work in Singapore without sponsorship.

Our client is one of the leading players in the medical devices manufacturing sector. Due to business needs, they are now recruiting a Quality Engineer to be part of their Quality team for ongoing transformation projects. They are located in the east.

The Quality Engineer's responsible is:

• Act as the Quality representative for new product development and sustaining projects within the medical device portfolio.
• Provide quality and compliance support throughout the product development lifecycle, including design changes, design reviews, verification & validation, usability studies, process validation, and labeling activities.
• Lead risk management activities, including Risk Management Plans, Hazard Analysis, Risk/Benefit Assessments, and Design/Process FMEA.
• Partner with cross-functional teams to identify product risks, investigate potential failure modes, and implement effective risk control measures.
• Ensure compliance with ISO 13485, FDA regulations, customer requirements, and applicable quality standards.
• Develop, review, and maintain quality procedures, SOPs, and documentation to support product development and Quality Management System (QMS) requirements.
• Support internal, supplier, and external audits, including the investigation and closure of non-conformities.
• Drive continuous improvement initiatives to enhance product quality, process effectiveness, and QMS compliance.
• Serve as a Quality Subject Matter Expert (SME) and provide guidance to engineering and project teams on quality and regulatory matters.

Job Requirements:

• Degree in life science related discipline
• Min 5 years experience in quality design within medical devices sector
• Experience in ISO13485

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.
EA License No. 19C9682
EA Reg. No. R2198636 (Oh Puey Xin)

• You will be responsible for designing, developing, and implementing equipment control software for advanced semiconductor automation systems. You will collaborate closely with cross-functional teams to deliver reliable, high-performance solutions aligned with customer requirements.
• Gather, analyze, and clarify customer requirements and technical specifications; prepare Software Design Documents (SDD).
• Develop equipment control software using PLC programming and C#.NET, leveraging in-house libraries and development tools.
• Implement software solutions in compliance with established coding standards and best practices.
• Perform unit testing, debugging, and system validation to ensure functionality, reliability, and performance.
• Conduct peer code reviews to maintain software quality and consistency.
• Ensure compliance with software quality processes as well as Health, Safety & Environment (HSE) requirements.
• Develop training materials and support training sessions for Field Service Engineers and end users.
• Collaborate with Mechanical, Electrical, and Field Service teams for system integration and deployment.

Requirements

• Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline.
• Eexperience or knowledge in PLC programming and/or C#.NET development.
• Familiar with IEC 61131-3 standards such as Ladder Logic, Structured Text (ST), CoDeSys, TwinCAT, or equivalent platforms.
• Strong problem-solving skills with a hands-on mindset and willingness to work on equipment integration.
• Self-motivated, independent, and adaptable with a passion for engineering excellence.
• Good communication and teamwork skills in a cross-functional environment.
• Knowledge of cybersecurity concepts and SECS/GEM communication protocols will be an added advantage.

By sending your job resume to us, it shall be deemed that you have agreed and hereby give your consent to MANFIELD in collecting, using and/ or disclosing your personal data for the purpose of accessing and processing your job application and/ or for future job opportunities within MANFIELD and/ or with the client(s) of MANFIELD. If you wish to withdraw your consent, please notify us. Kindly visit our company website for more information on the Privacy Policy.

WE REGRET TO INFORM THAT ONLY SHORTLISTED CANDIDATES WILL BE NOTIFIED

Manfield Employment Services Pte Ltd
EA Licence No: 95C2823
Posting Personnel: Quennie Chen

EA Personnel Registration No: R1222837

• Master’s degree in AI / Artificial Intelligence 
• Eager to contribute to an AI-centric environment 
• passionate about AI development

about the company
We are completely re-architecting our internal systems to beAI-native, and we’re looking for visionary AI Software Engineer tojoin our vanguard team. If you want your code and AI models to directly shapethe tools that build great applications, this is the place for you.

about the job

• In this role, you will bridge the gap between cutting-edge AI theory and practical engineering, turning advanced concepts into functional, high-impact tools.
• Translate your deep academic understanding of LLMs, Retrieval-Augmented Generation (RAG), and agentic workflows into functional, real-world tools.
• Continuously scan the AI horizon to test emerging models, frameworks, and patterns, deciding what integrates into our core engineering toolkit.
• Embrace ambiguity by failing fast, pivoting quickly, and continuously refining the intelligent capabilities of our ecosystem.

skills and experience required
Master’s degree in AI, open with 1–2 years of hands-onexperience. Strong grasp of AI tooling (Copilot,Claude, ChatGPT API integrations) and know how to weave theminto traditional codebases cleanly.

Whats and offer
The permanent opportunity for an AI Software Engineers, willpay a salary range of $ 8,000 - $ 10,000 plus benefits. 

To apply online please usethe 'apply' function, alternatively you can reach me at
https://www.linkedin.com/in/Oliviatoh-032330132/. (EA: 94C3609 / R22109942)

Ensuring teams work together to deliver quality work to strict deadlines.

Monitoring construction processes, and providing training and team building sessions are required.

Ensuring adherence to health and safety regulations at all times.

Performing equipment, material, and routine site inspections.

Scheduling regular meetings with vendors, site inspectors, managers, and staff.

Writing up reports, budgets, project plans, and presenting them to relevant stakeholders.

Working closely with architects and other professionals.

Staying up-to-date with safety codes and advancements in construction.

Assisting with the recruitment and training of new staff.

Processing paperwork and traveling to multiple sites as required.

About the Role

We are seeking a skilled Service Engineer who installs, maintains, and troubleshoots security systems, delivers reliable technical support, and ensures optimal system performance and customer satisfaction.

Job Responsibilities

Installation & Commission

• Set up and configure equipment or systems at customer sites.
• Ensure proper functioning and compliance with specifications.

Maintenance & Repairs

• Perform routine preventive maintenance.
• Diagnose and fix faults or breakdown in equipment or systems.

Technical Support

• Provide on-site or remote support to customers.
• Troubleshoot issues and offer solutions promptly.

Customer interaction

• Communicate effectively with clients to understand their needs.
• Train users on proper operation and maintenance of equipment.

Job Requirements

• Minimum NITEC in Electrical / Electronic Engineering
• Minimum 5 year working experience in Security system suchas Integrated Security Management System, Card Access Control System, IntrusionDetection System, FIDS System, CCTV System, PA System, Fire Alarm System.
• Proficient in Microsoft Office Suite (Excel, Word,Outlook), Microsoft Project, MS Team and AutoCAD
• A self-starter, comfortable working independently andtake high level of responsibility.
• Resilience, entrepreneurship spirits, self-direction,risking-taking and adaptability to environment.

Job Description

Key Responsibilities

• Develop new procedures and Best Known Methods (BKMs) to service new products.  Contribute to the FMECA process.  

• Participate in or own first chamber Build & Test in Apps lab.  Solve issues, or work with Engineering to address issues identified.    Work with Manufacturing to develop procedures and participate (if required) on New Product final test

• Partner with Quality & Reliability (Q&R) group to review and address Top Field Issues. Participate in or own CAPA process.  Conduct or facilitate Failure Analysis (FA) if needed

• Develop and document procedures to install (start-up), retrofit and maintain the product (Technical Product Manuals)

• Develop new procedures, Customer Engineering Notices (CENs), Internal Service Bulletins (ISBs) and troubleshooting guides as required

• Collect process and qualification data to create product Best Known Methods (BKMs)

• Develop initial training package for new products and work with Global Technical Training (GTT) to develop training class.  Train Customer Engineers (CEs), Process Engineers (PSEs) and Technical Product Support (TPS) assigned to customers who will receive ELS Shipments, prior to shipping

• Identify new parts that require to be stocked by AGS and work with them to ensure parts are stocked in correct locations

Requirements:

• More than 5 years of relevant experiences in semiconductor industry

• Prior experiences in semiconductor equipment are preferred, especially thin film (CVD/ PVD) tools

• Excellent communication and interpersonal skills

• Confident in liaising with internal and external stakeholders of various seniorities

Work Location

• Fusionopolis

Will be part of Operation & Support Team to support Project implementation and Maintenance.

The key responsibilities are as below:

Job Description:

Project:

• Support Project Team in Project implementation
• System setup, configuration and testing
• Perform any other duties as assigned.

Maintenance:

• Perform CUAS Preventive and Corrective maintenance works at restricted Areas.
• Provide support services in operation exercise.
• Perform functional check and/or repair on testers and unit under Test.
• Perform any other duties as assigned.
• Provide technical support to resolve hardware and software related problems on network and cyber systems.

Requirements:

• NITEC / Higher NITEC / Diploma in Mechanical, Electronics or Computer Engineering
• Fresh graduate are welcome to apply
• Experience in Electronics, PCB-related, electrical & networking would be advantageous.
• Some knowledge in cyber and network systems is a plus.
• Able to work over the weekend and standby for fault call if required
• Able to interpret schematics, technical manual and drawings for maintenance works.
• Ability to use analytical skills and a "hands-on" person.
• Good interpersonal skills, proactive and work well with others.
• Possess class 3 driving license will be advantageous.

Interested candidates can click on 'Apply' or send updated resume to joreen.pak@trd.sg or victor.low@trd.sg

We are regret that only shortlisted candidates will be notify.

We’re hiring a GPS Engineer to support new product design, introduction, and field readiness for our vacuum mainframe platform products in Singapore. The ability to understand vacuum systems, robotic, and semiconductor substrate handling, is a must. You’ll work cross-functionally with Supplier Manufacturing, Internal Business Units, Quality & Reliability, and Field teams to drive installation readiness, serviceability, reliability, field escalations, and learnings into product design. On-site support is performed for critical escalations.

What You’ll Do

New Product Intro & Lab Builds

• Participate in / own first product build & test in SGP lab; support new product final test as required.

• Own beta site test plans and reporting; drive resolution with System and Design Engineering.

• Maintain knowledge of clean room etiquette and system processes, and be capable of performing field service on delivered systems

Field Readiness & Documentation

• Develop Installation Plans, Technical Product Manuals, Preventive/Corrective Maintenance procedures, and Troubleshooting Guides.

• Create and release Lessons Learned, Best Known Methods (BKMs), Customer Engineering Notices (CENs), and Internal Service Bulletins (ISBs).

• Contribute to FMECA and ensure legacy corrective actions are integrated into new designs.

• Resolution owner for lab NCs, field issues, and effective closure through documentation and change order requirements

• Occasional travel is required to support on-site activities at customer's facility

Supplier & BU Collaboration

• Partner with Supplier Manufacturing and Business Units to develop OMS procedures for Field and Escalation teams.(Start-up, PM, CM manuals and lessons learned), sharing with system engineering team.

• Work with Documentation teams to publish high-quality procedures; collaborate with Engineering to resolve issues discovered in lab or field.

Quality, Reliability & Escalations

• Partner with Quality & Reliability (Q&R) on top field issues; participate in or own CAPA (8D) processes.

• Conduct or facilitate Failure Analysis (FA); collect process and qualification data to build BKMs.

Training & Parts Readiness

• Build initial training for new products and partner with Global Technical Training (GTT) to deliver and scale training (“train-the-trainer”).

• Train CEs, PSEs, TPS prior to ELS shipments.

• Identify new spare parts; coordinate with AGS to stock in correct locations.

Design Reviews

• Participate in Engineering Design Reviews; ensure Lessons Learned and corrective actions are captured in design intent for new products.

What You Bring

• Education: Bachelor’s degree (Engineering or related field preferred).

• Experience: 2–4 years in hardware, semiconductor capital equipment, robotics/EFEM, or complex electro-mechanical systems.

Technical Skills:

• Vacuum mainframe, automation, robot and substrate handling experience (SCARA/Cartesian arms, prealigners, end‑effectors)

• Knowledge of Software control systems including Firmware control systems

• Install/startup, retrofit, maintenance documentation for complex systems

• FMECA, FA, CAPA or 8D methodologies

• Data collection/analysis for qualification and BKMs

• Reading schematics/prints; familiarity with robotics/handlers/EFEMs is a plus

Soft Skills:

• SGlobal Product Support Engineer (Automation)

Nice to Have

• Service/Field procedure writing

• Experience with beta site test plans and customer-facing escalations

• Prior training experience (GTT or equivalent “train the trainer”)

Work Location

• Science Park II (Moving to Tampines in end 2026)

·     
Job Description

·      Join the Software Engineering team on a physical Operations Technology (OT) integration project. 

·      You will build and maintain the backend systems that connect OT field devices to the digital twin platform — handling real-time data ingestion, protocol translation, and system integration across industrial communication standards. 

 Key Responsibilities

·       Develop and maintain backend services and middleware for OT/IoT data ingestion using OPC-UA, MODBUS, and MQTT protocols. 

·      Build data pipeline components that normalise, process, and route telemetry from field devices to platform services and 3D visualisation layers. 

·       Integrate AI coding tools (e.g. Claude, Copilot) into daily development workflows for code generation, unit testing, and validation — this is an expected practice, not optional. 

·      Write and maintain automated test suites covering protocol adapters, data transformation logic, and integration endpoints. 

·      Collaborate with frontend Unity engineers and systems architects to define and implement API contracts (REST/WebSocket). 

·      Participate in code reviews, contribute to technical documentation, and support deployment through CI/CD pipelines. 

·      Troubleshoot field connectivity and protocol issues; work with OT/hardware teams on device commissioning and debugging. 

Required qualification/skills:: 

·      Hands-on experience with OPC-UA, MODBUS, and MQTT — protocol implementation, not just conceptual familiarity. 

·      Proficiency in backend development (Python, Node.js, Go, or Java — at least one). 

·      Active use of AI tools for coding, testing, and validation in prior roles or personal projects. 

·      Experience writing integration and unit tests; familiarity with test automation frameworks. 

·      Comfortable working with message brokers (MQTT brokers, Kafka, or similar) and time-series or event-driven data. 

 Good to Have:: 

·      Exposure to digital twin platforms or industrial IoT stacks. 

·      Familiarity with OT security considerations (network segmentation, secure protocol configuration). 

·      Experience with containerisation (Docker/Kubernetes) and CI/CD tooling. 

·      Knowledge of BACnet, DNP3, or other industrial protocols. 

Experience Required:: 

·      2–5 years in backend or systems software engineering, with at least some exposure to OT/IoT environments.

·       Degree in Computer Science, Engineering, or equivalent practical experience.

The Mechanical Engineer shall be responsible to perform engineering analytics, provide engineering solutions and perform defect investigations to support equipment refurbishment & maintenance projects. The candidate shall be required to independently conduct defect troubleshooting, failure analysis, engineering analysis and develop engineering solutions to the problems identified. The candidate shall also collaborate with other internal and external stakeholders on engineering and maintenance efforts and ensure high equipment reliability and availability.

Responsibilities

• Lead in the identification and consolidation of engineering standards for the respective mechanical/electrical and electronics/hydraulic and structural systems/thermal systems.
• Develop work instructions, test parameters, test jigs and test benches to enhance equipment repair and overhaul capabilities.
• Lead in the conduct of engineering analytics for equipment failure and trending of defect data to seek engineering insights and identify areas for reliability and safety improvements.
• Lead in the development of in-house capabilities to support the evolution from preventive to predictive maintenance.
• Lead in the development of engineering solutions, propose relevant modifications and work with Ops and Maintenance team to implement and validate safety and effectiveness of the solutions.
• Identify / develop / evaluate alternate parts, out-of-manual repair and modifications to support obsolescence management.
• Lead in the conduct of defect investigation to identify root cause and follow-up, including developing of fault tree analysis, FEMCA and conduct of forensic investigation.
• Perform review of project design specifications to support refurbishment & maintenance projects to ensure adequate safety, reliability, maintainability and operability considerations.
• Any other tasks assigned by supervisor.

Qualifications & Work Experience

• Diploma or Degree in Mechanical / Electrical & Electronic Engineering/Mechatronics Engineering or equivalent from a recognized institution.
• Preferably with at least 2 years’ working experience in automotive, aerospace or heavy equipment environment.
• Fresh graduates from local universities are welcome to apply.

Skills

• Comfortable to work hands-on in a maintenance workshops environment alongside other Engineers, Assistant Engineers and Technical Officers.
• Adept with diagnostics and reliability engineering methods such as FMECA, Fault Tree analysis etc.
• Possess basic understanding of hydraulic/electrical/mechanical systems for vehicular platforms.
• Able to read and understand technical/ electrical drawings.
• Equipped with Solidworks Software skills for 3D Modelling and Drafting.
• Possess knowledge in Finite Element Analysis (FEA) an advantage.
• Good interpersonal and communication skills.
• Able to present ideas, approach, and objectives clearly.
• Strong analytical and decision-making abilities.
• Able to work independently and as a team effectively adjusting oneself flexibly to different work situations.
• Effective organizational and planning skills.