Total 294 firmware engineer job vacancies in Maintenance / Repair category in Singapore

Scope of Work

Site work will involve installing structural, ground, and environmental monitoring systems in accordance with construction drawings and design specifications. Installation, programming and commissioning data loggers and telemetry devices; maintaining installation records and promoting a safe workplace with zero harm. 

Office & Site based work will involve following roles and responsibilities

·      Manage, coordinate and supervise all the instrument installation and monitoring works.

·      Oversee all instrumentation works including the production of method statements, project quality plan, calibration, installation, data acquisition, data verification, data processing, web database, data presentation and reporting. Ensure that all monitoring data are correct.

·      Shall be responsible for preparing all necessary reports as specified in the Contracts documents.

·      Design, set up and maintenance of Instrumentation database

·      Ensuring works are in accordance with approved project quality plan

• Providing input into health, safety, environmental and quality documentation
• Preparing instruments, materials and tools for site work
• Installation of Structural, Ground, and Environmental Monitoring Systems
• Liaising with suppliers, subcontractors, clients and asset owners
• Provide installation, monitoring and maintenance services
• Maintain installation records, data processing, create factual reports
• Work as part of a team to plan and meet workload demands.
• Business operations – as part of a growing business you will be involved in all aspects of operations.
• Follow business processes to ensure consistent high-quality results.

Desirable/ Advantageous

• Hands on experience with geotechnical instrumentation
• Experience of borehole drilling techniques and methods
• Knowledge of instrumentation database

Requirements

·      Relevant Degree in Civil Engineering / Geotechnical Engineering / Geology

·      Min. 5 years’ hands on experience in managing instrumentation and monitoring works on a civil engineering project

·      Willing to work and travel among various sites

·      Experience working with LTA projects as Senior Instrumentation Engineer

Salary Range: SGD 4,000 to SGD 5,000 Depending on experience

Job Responsibilities

• Carry out maintenance tasks such as servicing, hardware replacement, configuration, and repair works.
• Perform hardware and software troubleshooting, fault diagnosis, and rectification.
• Prepare and update maintenance documentation, manuals, and procedures in accordance with quality management processes.
• Supervise sub-contractors and ensure proper completion of work while ensuring compliance with safety and security guidelines.
• Liaise and coordinate with procurement teams and vendors for hardware and service purchases.
• Support installation, overhaul, and upgrade of hardware and software when required.
• Perform any other ad-hoc duties assigned by the Project Manager.

Job Requirements

• Diploma in Computer Engineering, Electronics Engineering, or related engineering discipline.
• Higher NITEC holders with 2–4 years of relevant experience may also be considered.
• Knowledge in networking, cybersecurity, or system administration.
• CompTIA A+ / Network+ certification will be an added advantage.
• Independent, well-organised, proactive, and with a good working attitude.
• Good communication and interpersonal skills.
• Comfortable working in a naval base environment.
• Singaporeans only.

Job Summary

Seeking Maintenance System Engineer to perform installation, maintenance, and troubleshooting of electronic and network systems, ensuring system uptime and client satisfaction.

Mandatory Skill-set

• ITE/Diploma/Degree in Electrical/Electronic Engineering, Infocomm, Computer Science, Mechanical Engineering, or a related field;
• Must have 2 years of experience in system implementation, maintenance, or similar technical roles;
• Must have experience in operating, upgrading, and maintaining Windows Server and Linux systems;
• Provide 24×7 hands-on installation, maintenance, and troubleshooting of end devices and central equipment, ensuring system uptime
• Strong understanding of the full software lifecycle — from deployment to maintenance;
• Excellent troubleshooting and fault analysis skills for system and network issues;
• Familiar with site installation practices, project cycles, and preventive maintenance;
• Strong communication, initiative, and problem-solving abilities;
• Knowledge of project management tools (e.g., Microsoft Project) is an advantage
• Customer-oriented with the ability to manage expectations and deliver quality support.

Desired Skill-set

• Experience with security system integration, site safety practices, and industrial standard;
• Practical knowledge in cable routing design and updating technical drawings.

Responsibilities

• Install, maintain, and troubleshoot end devices and central equipment, ensuring system uptime;
• Respond to client service requests and provide on-site support when needed;
• Prepare quotations, execute Variation Orders, and manage ad-hoc service works.
• Read construction drawings, plan cable routing, and update as-built documentation.
• Coordinate with clients, consultants, contractors, and subcontractors on installation and commissioning.
• Perform system updates, patching, and vulnerability remediation under guidance.
• Support contract administration, reporting, billing, and maintenance documentation.
• Ensure compliance with industrial standards, safety regulations, and maintain high service quality.
• Maintain strong client relationships and provide regular updates on maintenance activities.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Job Summary

Senior AI / Machine Learning Engineer will build, train, and optimize machine learning models for content understanding, ranking, and scoring. You will transform research concepts into robust, production-ready ML pipelines and maintain high-quality code to drive impactful AI solutions.

Responsibilities

• Implement deep learning models for video, image, audio, or text using modern frameworks to enhance content understanding and ranking capabilities
• Develop and maintain training and evaluation pipelines, including data loaders, augmentations, and metrics, to ensure reliable model performance
• Design and execute experiments, tune hyperparameters, and optimize models for latency and accuracy to meet production requirements
• Collaborate with backend engineers to deploy models via scalable APIs and services, enabling seamless integration into production systems
• Monitor model performance in production environments and design retraining and improvement loops to sustain and enhance model effectiveness
• Contribute to the development of ML tooling, experiment tracking systems, and comprehensive documentation to support team productivity and knowledge sharing

Required competencies and certifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
• 4–7+ years of experience as an ML Engineer, Applied Scientist, or equivalent role
• Proficiency in PyTorch or TensorFlow and common machine learning libraries to develop and optimize models
• Experience in at least one domain: computer vision, video processing, speech/audio processing, or natural language processing (NLP)
• Strong understanding of model optimization techniques such as quantization, pruning, distillation, and batching to improve model efficiency
• Familiarity with GPU training, distributed training, and cloud-based ML workflows to support scalable model development
• Strong coding skills in Python and solid grasp of software engineering best practices to produce maintainable and efficient code

Preferred competencies and qualifications

• Master’s degree in Machine Learning, Artificial Intelligence, Data Science, or related field preferred but not mandatory with sufficient experience
• Experience with MLOps tooling such as MLflow or Weights & Biases (W&B) to streamline model lifecycle management
• Background in Kaggle competitions or similar machine learning contests demonstrating practical problem-solving skills
• Prior experience working in startup environments, contributing to fast-paced and innovative projects

Job Description:

• In charge of conducting and certify scheduled and unscheduled maintenance, repair, and testing of aircraft systems and components.
• Responsible for carrying out complex tasks such as engine servicing and component replacement, troubleshooting defects, and maintaining production equipment.
• In charge of performing detailed inspections of aircraft structures, landing gear, engines, and other critical systems.
• In charge of leading and supervising teams of technicians to complete maintenance tasks efficiently.
• Responsible in promoting and upholding a culture of safety among maintenance teams and ensure all activities comply with quality standards.
• Maintain detailed and accurate records of all maintenance activities and certifications.
• Ensure all work is performed in accordance with regulations from the Civil Aviation Authority (CAA) and the Original Equipment Manufacturer (OEM).

Job Requirement:

• Minimum Degree in Mechanical/Manufacturing/Aeronautical Engineering or equivalent.
• Minimum 3 years of working experience in MRO industry
• Knowledge of special processes such as Weldng (TIG/EBW), Thermal Spray, Heat Treatment, Machining will be advantage

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

Required Skills

• Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges.
• Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Create multi-agent systems and equip AI models with function/tool-calling capabilities
• Design and implement RAG systems to ground AI responses in enterprise data
• Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
• Optimize agentic workflows and AI agents for production use cases
• Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs
• Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them
• Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

Job Summary

Responsible for the administration, maintenance, and continuous improvement of the IBM Maximo system. This role ensures the accuracy, integrity, and accessibility of master data required for work order management and routine operations. The incumbent will collaborate with cross-functional teams to manage Maximo-related activities, maintain compliance with company and regulatory requirements, and support system enhancements and audit readiness.

Key Responsibilities

• Create, update, and maintain asset records (e.g., equipment, instruments, and facilities) throughout the asset lifecycle, from commissioning and maintenance to decommissioning and retirement.

• Ensure the accuracy and completeness of master data, including preventive maintenance frequencies, schedules, job plans, and work instructions within the Maximo system.

• Perform accurate and timely data entry to support new asset creation, maintenance activities, and ongoing operational requirements.

• Maintain data integrity and ensure all activities are performed in accordance with approved procedures, workflows, and compliance requirements.

• Provide user support and guidance on Maximo processes, workflows, and best practices.

• Participate in system upgrades, enhancements, and validation activities as a user acceptance tester (UAT).

• Develop, update, and maintain user guides, standard operating procedures (SOPs), and training materials in collaboration with Maximo administrators across other sites.

• Foster effective communication and collaboration with internal stakeholders to ensure smooth system operation and data consistency.

• Ensure compliance with applicable industry standards, company policies, quality requirements, and regulatory guidelines.

• Support internal and external audits by preparing and providing required documentation, records, and system information.

• Perform additional Maximo-related duties and projects as assigned by the Compliance and Qualification Lead.

Requirements

• Strong knowledge of IBM Maximo administration and asset management processes
• High attention to detail with a focus on data accuracy and integrity.
• Good understanding of preventive maintenance programs and asset lifecycle management.
• Strong communication and stakeholder management skills.
• Ability to work effectively across multiple departments and functional teams.
• Knowledge of GMP, quality systems, and compliance requirements is an advantage.

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

RF Maintenance Engineer (4G/LTE) (Telco/ East/ Permanent Role)

• Location: East Area
• 5 Days work week
• Permanent Role
• Salary: up to $4,000 + Variable Bonus

Responsibility:

• Lead end-to-end 4G site rollout, including site surveys, design, testing, commissioning, and optimization.
• Plan, manage, and monitor engineering activities to ensure timely project completion.
• Conduct preventive and corrective maintenance for base stations and antenna systems.
• Address customer issues through troubleshooting and effective solution proposals.
• Coordinate dismantling and reinstatement works with HDB, property owners, contractors, and local authorities.
• Provide after-hours standby support during major events, both on-site and remotely.
• Act as the technical lead for projects, ensuring adherence to delivery timelines, standards, milestones, and documentation.
• Manage in-building system design, documentation (technical and commercial), scheduling, and equipment procurement.
• Review, negotiate, and track contractor and supplier quotations and delivery timelines.
• Support design and costing for TETRA, LTE, and other company services.
• Monitor and optimize 4G network performance, including participation in technical trials.
• Prepare technical reports and presentations, and manage spare parts and inventory.
• Demonstrate strong teamwork, ownership, interpersonal skills, and flexibility to work extended hours when needed.

Requirement:

• Min Diploma / Degree in Telecommunications, Electronics or related.
• Minimum 2 years of LTE mobile network maintenance experience.
• Basic experience in project management is preferred.
• Solid understanding of 4G radio access technologies, RF principles, and antenna systems.
• Proficient in Microsoft Office applications (Excel, PowerPoint, Word, etc.).
• Comfortable working in diverse environments such as rooftops, tunnels, offshore sites, construction areas, and other physically demanding conditions.
• A valid Class 3 driving license is required.

How to apply

Interested candidates who wish to apply for the post, you may click the Apply Now Button or send in your updated resume (in MS Word format) to jackyooi@careerally.com.sg

We regret to inform that only shortlisted candidates will be notified.

Careerally Pte Ltd | EA Licence: 24C2215

Ooi Chuan Yi (Jacky)| EA Registration No: R24122948

• Well Established Company
• Basic $2800 - $4000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression\
• Working location: Gul Circle (Company Transport Provided)
• Working day: Monday to Friday
• Working hours: 8.15am to 5.15pm

Job Responsibilities:

• Responsible for outdoor and indoor repair work of all cleaning products
• Mechanical preventive maintenance - verify mechanical faults, replacement of spare parts and repair
• Work closely with service technicians for problem solving and coordinating jobs between field service and workshop repairs
• Required to work within the Company workshop where there is no outdoor repair
• Any ad hoc duties as assigned

Job Requirements:

• Possess at least a Professional Certificate/ Nitec in any Electrical & Electronic or Mechatronics Engineering or relevant qualification
• Experience in repair of forklifts, automobiles, heavy industrial equipment, and knowledge in engines, motors and electrical would be relevant and useful
• Possess Class 3 driving license is an advantage

Candidates are encouraged to apply this position via Apply Now 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 be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job Overview:

We are seeking an experienced Instrumentation & Control (I&C) Engineer. The role is responsible for the installation, calibration, maintenance, and troubleshooting of instrumentation and control systems critical to safe and efficient offshore operations.

Key Responsibilities:

• Install, commission, and maintain instrumentation and control systems onboard offshore facilities and vessels
• Perform calibration, loop checking, and functional testing of sensors and control equipment (pressure, temperature, flow, level, etc.)
• Troubleshoot faults in PLC, DCS, SCADA, and control systems
• Support electrical and automation systems including switchboards and control panels
• Ensure all work is conducted in compliance with HSE standards, permit-to-work systems, and offshore safety procedures
• Monitor and optimise system performance, identifying areas for improvement and reliability enhancement
• Support project activities including mobilisation, offshore campaigns, and demobilisation
• Prepare and maintain documentation including maintenance logs, calibration records, and technical reports
• Interface with project teams, client representatives, and other offshore disciplines
• Assist with FAT/SAT, commissioning, and system integration activities

Job Description

We are looking for an Assistant Maintenance Engineer to join our team! This is a great entry-level role for those looking to start their career.

You will assist with the daily maintenance and servicing of semiconductor automation equipment (such as robotics, controllers, and aligners).

Key Responsibilities

* Assist in the routine maintenance, cleaning, and simple repair of equipment and components (robotics, controllers, etc.) in our workshop.

* Follow senior engineers to customer sites (Wafer Fabs) within Singapore to assist with equipment installation, setups, or simple troubleshooting.

* Service and support local wafer fab customers and industry partners within Singapore.

* Flexibility to work overtime on weekdays or weekends occasionally to support customer emergency requests (overtime pay provided).

Requirements

* No prior work experience required! Open to all beginners.

* Graduates or students from Engineering, Mechanical, or any technical-related fields are welcome to apply.

* Welcome evening / part-time students! We can coordinate and adjust working hours to match your school schedule.

* Must be comfortable entering the cleanroom and wearing full cleanroom attire (bunny suit) at customer sites.

* Basic Mandarin proficiency (spoken and written) is required, as the role will need to liaise with our regional team and support customers from Singapore, China, and Taiwan, including handling technical cross-referencing of manuals.

Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter.

Role Overview

As a ML Quality Assurance Engineer at Derq, you will play a critical role in ensuring the reliability, accuracy, and performance of our computer vision and machine learning based products. You will work closely with our development team to design and execute comprehensive test strategies, identify and report defects, and help improve the overall quality of our customer facing AI products, using data analytics.

Key Responsibilities

• Collaborate with AI development and product teams to understand product requirements and design effective test plans and test cases for AI based products
• Strategize evaluation methodologies, gathering data and evaluation reporting
• Perform data analytics on large datasets
• Monitor and track anomalies within product’s content and statistics
• Train and deploy ML models to help boost product performance
• Create and maintain detailed documentation of test processes, methodologies, and findings
• Keep up to date with advancements in the field to optimize internal processes and workflows
• Interface and coordinate with Engineering team
• Foster a collaborative, proactive team environment that values shared success.

• Bachelor’s degree in an analytical domain such as Machine Learning, Computer Science, or a related discipline

• Python, Javascript and SQL Knowledge/Experience
• Familiarity with classical Machine Learning Models such as Random Forest, SVM, Naive Bayes
• Core understanding of mathematical concepts for statistical inference
• Hands on with spreadsheet based querying and analytics
• Proficient with annotation tools such as CVAT
• Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel etc.)
• Good command of English both oral and written and reporting skills
• Knowledge of basic statistical principles coupled with logical thinking, coherent reasoning and a detail-oriented attitude

Job Description:

• In charge of conducting and certify scheduled and unscheduled maintenance, repair, and testing of aircraft systems and components.
• Responsible for carrying out complex tasks such as engine servicing and component replacement, troubleshooting defects, and maintaining production equipment.
• In charge of performing detailed inspections of aircraft structures, landing gear, engines, and other critical systems.
• In charge of leading and supervising teams of technicians to complete maintenance tasks efficiently.
• Responsible in promoting and upholding a culture of safety among maintenance teams and ensure all activities comply with quality standards.
• Maintain detailed and accurate records of all maintenance activities and certifications.
• Ensure all work is performed in accordance with regulations from the Civil Aviation Authority (CAA) and the Original Equipment Manufacturer (OEM).

Job Requirement:

• Minimum Degree in Mechanical/Manufacturing/Aeronautical Engineering or equivalent.
• Minimum 3 years of working experience in MRO industry
• Knowledge of special processes such as Weldng (TIG/EBW), Thermal Spray, Heat Treatment, Machining will be advantage

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Job Description:

- Lead a team to manage Maintenance, Repair & Overhaul (MRO) activities (ie. Preventive maintenance/Corrective maintenance) for a fleet of Armament systems and ensure it’s performed on schedule

- Responsible to ensure contractual monthly performances of Armament systems is met

- Required to prepare Service report, indentation of spares and coordination of works with customers and internal stakeholders

- Liaise between customer and management to ensure smooth operations delivery.

- Drive continuous improvement in work processes and ensure 5S are performed in the workshop

Job Requirements:

- Degree in Engineering field, prefer Electrical/ Mechatronics/ Mechanical Engineering

- Knowledge in SAP and military armament systems will be preferred

- Highly motivated individual who is able to work independently and lead a team

- Preferably candidate to possess class 3 driving license

• Develop, analyze, and approve repair schemes for metallic and/or composite aerospace components.
• Ensure repairs comply with OEM specifications, regulatory requirements, and customer standards.
• In charge of process improvements to improve process robustness, process efficiency and repair yield.

Requirements:

• Degree in Mechanical engineering or equivalent
• At least 3 years of experience in repair engineering in aerospace industry.
• Knowledge of repair processes in aerospace.

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