Total 713 Engineering job vacancies in PASIR GUDANG

Sales Engineer - Battery Industry

• Office Location: Clementi Area
• Working Hours: Mon – Fri 8.30am – 6pm
• Monthly Salary: Base up to $3400 + Allowance + Commission + Variable Bonus (VB)
• Employment Type: Full time, Permanent Contract

Company Overview
The company is a well‑established Singapore‑based organization with a strong presence in both local and international markets. Recognized for the company’s commitment to quality, reliability, and innovation, the company provide effective solutions and services to a diverse range of clients across industries.

Responsibility

• Drive sales growth by achieving profitability targets and expanding distribution channels.
• Prepare quotations, proposals, and manage sales administration with accuracy and efficiency.
• Troubleshoot and resolve technical issues related to industrial batteries to ensure reliable product performance.
• Collaborate with the logistics team to coordinate timely deliveries and maintain high standards of customer satisfaction.

Requirement

• Minimum Diploma in Electrical/ Electronics/ Mechanical Engineering and recognized by relevant authority
• Minimum 3 year of proven relevant sales experience in Battery manufacturers or distributors/ AWP or MEWP rental companies/ Generator or power rental companies/ Industrial equipment rental or solution providers
• Strong interpersonal and communication skills
• Access to own/rent a personal vehicle for work-related travel
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.
Recruit Lync Pte Ltd | EA License Number: 22C1000
Chen Hoe Nam | EA Personnel License: R25158678

If you fancy a cool, easy-going atmosphere full of dynamic and spirited individuals, you are at the right place.

We are on the lookout for passionate, optimistic and fun-loving people to join our big family of Wonderful People.

With our wide array of hotels and brands, there are countless opportunities and exposure to work in different stories. You will be immersed with prospects in career and learning development, employee recognition, mentorship and benefits even when you travel.

Job Details (Here’s what you can expect!)

• Attractive bonus

• Staff rates at Accor hotels in Singapore and worldwide

• Birthday leave

Job Responsibilities:

• Sales support for Sales & Marketing department.

• Handling of Mobile Check-In process for hotels reservations.

• Monitoring and reporting of No Shows for hotel reservations.

• Process waiver for cancellation and assist in contractual matters.

• Process credit card charges to travel agents and other partners.

• Generate sales reports for management reporting.

• Other adhoc duties as assigned.

Requirements

• Degree or Diploma in Computing, Information Systems, Software Engineering, or a related field.

• Hands-on experience in software development and application support.       

• Proficiency in Microsoft .NET, Python, HTML, CSS, and MS SQL.

• Experience in API integration.

• Technical knowledge or strong interest in modern IT technologies such as Artificial Intelligence (AI), Machine Learning, Robotics, and Automation.

• Strong analytical, troubleshooting, and problem-solving skills.

• High attention to detail with good communication and interpersonal skills.

SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.) is a Joint Venture between NXP and TSMC. We offer flexible and cost-effective semiconductor fabrication solutions by maintaining fully equipped SMIF cleanroom environment, 100% equipment automation and proven wafer-manufacturing processes.

We're looking for innovative, passionate, and talented people like you to join our team.

We’re searching for an Associate Engineer to be part of our Diffusion (Wet) Department diverse team of talent.

What you will be working on:

• To assist the Engineers to improve and sustain equipment performance and Cpk indices to meet operations goals
• Perform 12-hour shift duties to support the running of Production in the Module and ensure equipment readiness and worthiness for production
• Perform scheduled preventive maintenance (PM) and calibration on a timely basis
• Assist Engineers in the installation and hook-up of new equipment
• Trouble-shoot equipment-related issues and minimize equipment downtime
• Assist in implementing process improvement projects
• Assist new Associate Engineers on their On-The-Job-Training (OJT) by acting as buddy
• Participate in QIT programs to improve productivity and output quality of the Module, and constantly monitor and feedback to Engineers to improve performance of equipment to meet Module objectives
• Maintain good housekeeping in the production area, ensuring good safety practice and also safe custody of tools, equipment and other properties belonging to the Module

More about you:

• Diploma/ ITC/ NTC in Electrical/ Electronics/ Mechatronics/ Mechanical/ Microelectronics/ Chemical Process Technology
• At least 2 - 5 years working experience in electrical / electronics industry for Associate Engineer Position
• Fresh diploma holders will also be considered
• Able to perform 12-hour rotating shift
• Team Player

SSMC is firmly committed to upholding equal employment opportunities for all individuals. We strictly adhere to the Tripartite Guidelines on Fair Employment Practices (TGFEP), the Singapore Food Safety and Security Act 2025 (FSSA 2025), and the Singapore Code of Advertising Practice. All qualified applicants will receive non-discriminatory consideration for employment on the basis of merit and regardless of age, race, gender, religion, marital status and family responsibilities, or disability, or any other attributes as protected by the relevant laws.

Assurity Trusted Solutions (ATS) is a wholly owned subsidiary of the Government Technology Agency (GovTech). As a Trusted Partner over the last decade. ATS offers a comprehensive suite of products and services ranging from infrastructure and operational services, governance and assurance services as well as managed processes.

In a dynamic digital & cyber landscape where trust & collaboration is key, ATS continues to drive mutually beneficial business outcomes through collaboration with GovTech, government agencies and commercial partners to mitigate cyber risks and bolster security postures.

We are seeking a skilled Identity Access Management (IAM) Engineer to join our team. The ideal candidate will have a strong background in implementing and managing identity solutions, with expertise in various authentication and authorization protocols, including Microsoft-specific technologies.

Responsibilities:

• Design, implement, and maintain IAM solutions across our organisation
• Configure and manage identity brokering products, with a focus on Microsoft Ecosystem (AD, ADFS, PKI, MS Entra)
• Implement and manage authentication protocols including Kerberos, SAML and OAuth
• Utilise Microsoft Graph API for identity management and automationEnsure the security and governance of the identity infrastructure
• Develop codes to reduce operations toils and automate manual tasks
• Support operations, troubleshoot and resolve IAM-related issues

Requirements

• 2 -6 years of experience in IAM or related fields
• Experience with directory services (e.g., Active Directory, LDAP, ADFS)
• Strong knowledge of identity protocols including SAML, OAuth, and OpenID Connect
• Proficiency in using Microsoft Graph API for identity management tasks
• Knowledge of identity governance and compliance requirements
• Scripting and automation skills (e.g., PowerShell, Python)
• Proficient in CI/CD pipeline development and management
• Experience implementing DevSecOps practices and security automation
• Microsoft Identity and Access Administrator
• Azure Security Engineer
• Azure / AWS Devops

Pre-requisition

 Bachelor’s Degree in Computer Science or related technical field

> 2 years of related work experience with coding for Engineer

> 5 years of related work experience with coding and ability to lead a team for Specialist

 Strong problem solving and communication skills, self-driven and long-term strategic thinker

 Ability to quickly pick up new technologies and industry trends

Key Responsibilities

 Provides support addressing tickets raised for Identity services.

 Manage daily operations using runbooks provided by Microsoft Identity & Network Access (IDNA) team.

 Tenant provisioning

 Account and subscription management

 Incident management

 Service Monitoring to ensure the stability, performance and security of identity and access management solution.

 Follow prescribed security and compliance processes, including cert rotation.

 Escalate to Microsoft for issues not resolved through runbooks.

Technical Skill Sets:

Programming languages: C, C++, C#, Java, JavaScript, or Python

Cloud Infrastructure: Azure, AWS

Knowledge of one or more of the following will be an advantage:

 Experience with open source tools and frameworks.

The Engineer will lead the lifecycle management, from development to production deployment of advanced AI and autonomous applications to address key challenges in the maritime and offshore industries. This role seamlessly integrates the development of sophisticated robotics perception models with the operationalization of these solutions within an Azure Cloud environment using Agile methodologies.

You will be part of the ABS Singapore Innovation and Research Center, working within cross-functional squads to deliver iterative value. You are expected to possess a blend of software engineering rigor, cloud architecture knowledge, and practical AI expertise to ensure our solutions are scalable, secure, and production ready.

What You Will Do:

Robotics Perception& Computer Vision

• Sensor Fusion & SLAM: Develop and implement robust sensor fusion algorithms, specifically combining Camera and LiDAR data to create accurate 3D representations and enable Simultaneous Localization and Mapping (SLAM) in complex environments.
• Advanced Detection Capabilities: Lead the development of computer vision models for automated inspection, focusing on crack detection, pattern recognition, and anomaly detection on structural surfaces.
• Image Recognition: Engineer high-precision image recognition pipelines to identify key structural features and potential defects.
• Automation: Automate the interpretation of sensor data to reduce human intervention in inspection workflows.

AI Model Development& Cloud Deployment

• Model Lifecycle Management: Develop, fine-tune, and integrate AI models for operational and safety-critical use cases, specifically targeting computer vision applications.
• Cloud Architecture: Architect, deploy, and manage scalable AI solutions on Microsoft Azure, utilizing services such as Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Functions.
• Production Deployment: Transition prototype models into production-grade applications, optimizing code for latency, throughput, and cost-efficiency.
• MLOps Implementation: Design and maintain robust MLOps pipelines for model training, versioning, evaluation, and monitoring in production.

Agile Development& Collaboration

• Agile Framework: Work within an Agile/Scrum framework, participating in sprint planning, daily stand-ups, and retrospectives to ensure timely delivery of AI features.
• CI/CD Implementation: Adopt a DevOps mindset, ensuring continuous integration and continuous deployment (CI/CD) practices are applied to machine learning and robotics workflows.
• Stakeholder Collaboration: Collaborate closely with Project Managers to translate business requirements into technical specifications and provide support to ensure smooth adoption of tools

What You Will Need:

Education and Experience

• Minimum Bachelor’s degree in Computer Science, Data Science, Robotics, Engineering, or a related field. A Master’s or PhD is preferred.
• Minimum 2 years of experience in AI/ML development and deployment, preferably in a relevant field.

Knowledge, Skills, and Abilities

• Robotics & Vision: Strong grasp of sensor fusion (Camera + LiDAR), SLAM, and experience in crack or pattern detection algorithms.
• Cloud Ecosystem: Hands-on experience with the Azure ecosystem (e.g., Azure Machine Learning, Blob Storage, Azure DevOps, Azure OpenAI Service).
• Framework Proficiency: Proficiency in machine learning frameworks such as TensorFlow or PyTorch.
• Scalable Deployment: Experience with distributed systems, cloud computing, and containerization tools (e.g., Kubernetes, Docker) for scalable AI deployment.
• API Integration: Proven experience in developing and fine-tuning AI models and integrating them via APIs.
• Soft Skills: Exceptional problem-solving skills, self-motivation, and strong communication skills to work effectively with non-technical stakeholders.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28AI-Driven-Autonomous-&-Smart-Manufacturing%29%2C-Division-of-Industrial-Design/32423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of Research Engineer in AI-Driven Autonomous and Smart Manufacturing, with a focus on Additive Manufacturing (AM). 

•    Develop AI-driven frameworks that integrate LLMs, agentic AI, and multimodal foundation models for autonomous and smart manufacturing applications, with emphasis on additive manufacturing.
•    Fuse multimodal sensor data, reinforcement learning, and vision–language models to enable real-time defect detection, process monitoring, and intelligent decision-making.
•    Support internal capability development and execute collaborative projects with academic researchers and industry partners.
•    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
•    Assist laboratory safety and procurement whenever necessary.

AM.NUS leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. 
AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor degree in Mechanical Engineering, Manufacturing Engineering, Computer Science, Artificial Intelligence, Industrial Design or a closely related field.
●    Strong background in additive manufacturing and smart manufacturing systems.
●    Proven expertise in machine learning and AI, including experience with LLMs, multimodal models, or reinforcement learning.
●    Experience with engineering design and simulation tools (e.g., AutoCAD, SolidWorks, FEA) is an advantage.
●    Experience with digital twins, knowledge graphs, or cyber–physical systems is an advantage.
●    Proficiency in written and spoken English. 

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28AI-Accelerator-and-Energy-Efficient-Computing%29/32425-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated and skilled Research Engineer to join our team in developing next-generation energy-efficient AI hardware. The project aims to demonstrate an AI accelerator chiplet that integrates emerging non-volatile memory (RRAM or MRAM) with conventional I/O interfaces. This platform will showcase compute–memory co-design advantages, including enhanced data throughput, improved energy efficiency, and reduced data-movement overheads for large-scale AI workloads. 

Key Responsibilities:
•    Develop and implement fine-grained dynamic voltage and frequency scaling (DVFS) strategies tailored for GPU-based AI workloads, with control at the level of transformer blocks and attention layers.
•    Design and build a high-resolution (microsecond-scale) performance monitoring framework to capture workload intensity, memory access patterns, and GPU utilization for real-time optimization.
•    Develop and deploy machine learning models to predict optimal voltage–frequency operating points during LLM training and inference.
•    Integrate predictive control algorithms with hardware platforms to enable real-time, adaptive power management across heterogeneous compute and memory subsystems.
•    Collaborate on system-level hardware–software co-design to realize energy-efficient AI acceleration.
•    Contribute to prototype development, benchmarking, and evaluation of performance and energy efficiency.
•    Publish research findings in leading journals and present at international conferences.
•    Mentor undergraduate students and support team-based research activities.

Qualifications

•    Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related field.
•    Strong programming skills in Python and C/C++, with experience in machine learning frameworks such as PyTorch or TensorFlow.
•    Familiarity with deep learning models—particularly transformer architectures and large language models (LLMs)—is advantageous.
•    Experience or interest in system-level optimization (e.g., DVFS, workload profiling, or power management) is a plus.
•    Strong analytical and problem-solving skills, with the ability to conduct independent research and contribute to technical publications.
•    Ability to work effectively in a multidisciplinary environment, with good communication skills, initiative, and adaptability.

• Design, implement, and manage WAN solutions including MPLS, VPN, and SD-WAN technologies.
• Monitor network performance, identify issues, and troubleshoot WAN-related problems.
• Work closely with cross-functional teams to enhance user experience and achieve system performance targets.
• Document network configurations and operational processes for reference and compliance.
• Participate in network capacity planning and forecasting to ensure reliability and performance.
• Provide technical assistance during the deployment of new network components and services.
• Collaborate with vendors and service providers to optimize network solutions.
• Stay updated on industry trends and WAN technologies to propose improvements.

Requirements

To excel in this role, the ideal candidate will possess:

• At least 3 - 6 years of experience in network engineering with a focus on WAN technologies.
• Strong knowledge of WAN protocols and technologies, including MPLS, SD-WAN, and IPsec VPNs.
• Experience in configuring and managing routing and switching devices from vendors such as Cisco, Juniper, or equivalent.
• Familiarity with network monitoring tools and performance metrics.
• Good understanding of TCP/IP and related networking concepts.
• Experience in collaborating with cross-functional teams to deliver network solutions efficiently.
• Strong analytical and troubleshooting skills with attention to detail.
• Excellent communication skills, both verbal and written.
• Cisco CCNA, CCNP or equivalent networking certifications will be advantageous.
• A proactive attitude towards learning emerging technologies and network advancements.

Job Description & Requirements

As a Senior Electronic Engineer, you will play role in Hardware team to work on advanced electronic devices, including embedded systems and PCB boards, Firmware and applications, for a variety of applications in banking, payments, fare collection, and IoT systems. This role involves end-to-end responsibility for electronic design, from initial concept and specification to final validation and support for manufacturing and programming. You’ll leverage your expertise in electronics, embedded systems, and IoT to create robust, scalable solutions for real-world applications.

Key Responsibilities

• Collaborate with cross-functional teams to define system requirements, component selection, and design specifications firmware/software development and programming.
• Integrate and test designed systems with hardware and software components, ensuring compatibility and performance standards are met.
• Create and simulate circuit designs, perform schematic capture, and layout multi-layer PCB designs using industry-standard tools.
• Design and develop complex electronic circuits and multi-layer PCB boards for use in fare collection systems, payment devices, and intelligent transportation systems.
• Develop and execute testing procedures for prototypes, including validation, functional testing, and design-for-manufacturing (DFM) considerations.
• Support the transfer of designs to manufacturing, including the creation of documentation, BOM, and production guidelines.
• Stay updated with the latest advancements in electronics design, IoT, and payment technologies to incorporate innovative solutions into projects.

Required Qualifications

• Education: Minimum bachelor’s degree in electrical engineering, Electronics Engineering, or a related field.
• Experience: 5+ years in electronic or embedded systems.
• Skills:Proficiency in PCB design software, Altium Designer.
  Strong knowledge of digital and analog circuits, including microcontrollers, embedded systems, and power management.
  Familiarity with communication protocols such as USB, UART, SPI, I2C, and various wireless technologies (e.g., Bluetooth, NFC, Wi-Fi).
  Understanding of regulatory compliance standards relevant to payment and transit systems.
• Problem-Solving Skills: Strong analytical skills for troubleshooting and optimizing designs for performance and reliability.

Preferred Qualifications

• IoT and Embedded Systems: Experience in embedded systems, IoT applications, including connectivity and security considerations.
• Industry Knowledge: Familiarity with banking, payments, fare collection systems, or intelligent transportation systems.
• Soft skills: Excellent communication skills, a collaborative mindset, and the ability to lead projects and mentor junior engineers.