Total 242 construction engineer job vacancies in F&B / Tourism / Hospitality category

Job Description
The Staff Engineer, Process Development & Sustaining will lead the development, optimization, and sustaining of manufacturing processes for WD's HDD storage products. This is a technically deep, cross-functional role requiring strong foundation in chemistry, materials science, or chemical engineering.

You will drive process characterization, chemical/material qualification, and yield improvement initiatives while ensuring manufacturing processes remain stable, compliant, and cost-competitive. You are expected to operate with high technical autonomy, interface with global R&D and process teams, and mentor junior engineers on the Penang floor.

This role is ideal for a PhD's, or Master's graduate in Chemical Engineering or Materials Science who is passionate about translating lab-scale science into high-volume manufacturing solutions.

Key Responsibilities

Process Development

• Design and develop new manufacturing processes or significantly improve existing ones for HDD production
• Conduct Design of Experiments (DOE) to characterize process windows, identify critical process parameters (CPPs), and optimize process outputs
• Evaluate and qualify new chemicals, materials, and process consumables for manufacturing use
• Develop process recipes, control plans, and standard operating procedures (SOPs)
• Translate R&D/lab-scale processes into robust, scalable, high-volume manufacturing processes

Process Sustaining

• Own sustaining engineering for assigned process modules — ensure processes remain stable, in control, and within specification
• Monitor Statistical Process Control (SPC) charts; respond to out-of-control signals with structured problem-solving
• Lead Engineering Change Orders (ECOs) for process changes, chemical substitutions, and material updates
• Manage process deviation requests and ensure timely resolution
• Maintain process documentation, control plans, and work instructions per WD QMS

Chemical & Material Engineering

• Lead chemical/material qualification activities including incoming material testing, process compatibility studies, and shelf-life evaluations
• Evaluate alternative chemistries and materials for cost reduction, sustainability, or supply chain risk mitigation
• Work with EHS team to ensure safe handling, storage, and disposal of process chemicals per regulatory requirements
• Support RoHS, REACH, and PFAS compliance reviews for process chemicals and materials

Yield & Quality Improvement

• Lead yield loss analysis and drive structured RCCA (Root Cause and Corrective Action) for process-related defects
• Apply Six Sigma / SPC / Lean methodologies to reduce process variation and improve Cpk
• Partner with Quality Engineering to resolve customer escapes and field returns linked to process issues
• Drive continuous improvement projects with measurable cost and quality impact

NPI & Technology Transfer

• Support New Product Introduction (NPI) process readiness — from process concept to mass production release
• Lead or support technology transfer of new processes from R&D/HQ to Penang manufacturing
• Develop process qualification protocols (PQ), installation qualification (IQ), and operational qualification (OQ) plans

Cross-Functional Collaboration

• Interface with R&D, Product Engineering, Quality, EHS, Supply Chain, and Equipment Engineering teams globally
• Present process data, findings, and recommendations to senior management and global stakeholders
• Collaborate with equipment engineers on process-equipment interactions and optimization

People & Mentorship

• Mentor and coach junior and mid-level process engineers
• Lead technical reviews, knowledge-sharing sessions, and engineering forums
• Support capability building within the Penang process engineering team

Responsibilities:

• Implement and execute preventive and breakdown maintenance work for electrical and instrumentation related tasks with focus on safety.
• Perform electrical and Instrumentation troubleshooting.
• Able to work and trouble shoot with AC low voltage single phase and 3 phase systems.
• Identify and maintain an optimum level of electrical spares and drives to reduce plant downtime, take drive parameters back up and need to maintain.
• Ensure systematic documentation of Maintenance Procedures and Risk Assessments, SLD, E&I related and maintenance records for troubleshooting purpose.
• Experience in 3 phase generator control interfacing to grid power.
• Liaise with PE and organize preventive maintenance for MV and high voltage (22Kva).
• Understand and develop electrical panel schematics if needed.
• Guide technician on troubleshooting part if needed for ACMV, CCTV, Access control system, PA system, power and lighting.
• Update and control of Electrical specification, procedure and drawings.
• Material Management including consumables, parts and spare units.
• Responding to breakdowns, diagnosing faults, record and report.
• Review and approve of service, repair and overhaul equipment, record and report.
• Managing routine 5S at the maintenance workshop, store and work area at site.
• Communicate with clients, consultants, project personnel and relevant authorities.

Requirements:

• Minimum Bachelor’s Degree in Electrical Engineering, Mechatronic Engineering, or a related field.
• Minimum of 3 years’ relevant experience in electrical work, preferably within large-scale industrial/engineering company.

Technical Hands-On Skills and Supervision

• Proficient in CAD software, CMMS software and other engineering design tools.
• Hands on troubleshooting sensors, actuator valve and transmitters.
• Strong knowledge of preparing detailed E&I design (e.g., circuit and schematic diagrams, control panel layouts, MCC layouts, cable routes etc.).
• Strong knowledge of providing PLC Ladder Diagram and troubleshooting.
• Have basic knowledge in pumps alignment and health monitoring inspection.
• Strong knowledge in Preventive Maintenance inspection and planning.
• Independent and have leadership skill managing contractor and technicians.

Remuneration:

• Basic Salary: $4,000 – $4,600
• Working hours: Monday to Friday (8am – 5pm)
• Company Transport / Transport Allowance ($120) if candidate manages own transport
• Sign-on Bonus (Terms and Conditions apply)

Asia Medical Enviro Services is a market leader in medical and bio-hazardous waste collection, treatment and disposal in Singapore.

We are located near Tuas Crescent MRT station, a 10-minute bus journey. Some of our staff benefits are medical & insurance coverage, performance bonus, free parking and learning & development opportunities.

Job Responsibilities:

• Monitor plant performance and ensure minimum downtime.
• Plan and schedule manpower weekly or monthly duty roster.
• Lead root cause analysis by identifying recurring issues, troubleshooting and implementing corrective actions.
• Support plant improvement initiatives.
• Liaise with vendors and contractors and negotiate for cost efficient services.
• Ensure Plant operations comply with existing safety regulations through regular inspections, risk assessments and permit-to-work management.
• Ensure plant comply with ISO standard and internal or external audit.
• Support plant maintenance and testing activities.
• Support Inventory management

Job Requirements:

• Bachelor's degree in electrical engineering or instrumentation & control engineering or other relevant fields.
• 2 – 3 years of relevant E&I maintenance experience in chemical plant would be preferred.
• Fresh graduates are welcome to apply.
• On-the-Job training will be provided.
• Problem-solving abilities and the ability to work under pressure during plant shutdowns.

Job Summary

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

Responsibilities

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

Required competencies and certifications

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

Other Information

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

Principal Engineer / Manager, Defect Detection & Yield Engineering

Key Responsibilities

• Lead defect detection and yield improvement initiatives across semiconductor manufacturing operations.

• Drive root cause analysis and corrective actions for process and quality excursions.

• Analyze defect and yield data to identify trends and improvement opportunities.

• Partner with Process, Manufacturing, Quality, and Engineering teams to improve operational performance.

• Support implementation of advanced inspection and monitoring solutions.

• Develop best practices and mentor engineers within the organization.

Requirements

• Degree in Engineering, Materials Science, Physics, or related discipline.

• 7+ years of semiconductor manufacturing, yield, process, or defect engineering experience.

• Strong analytical, problem-solving, and stakeholder management skills.

• Experience in defect analysis, process monitoring, and yield improvement.

• Ability to lead cross-functional initiatives in a fast-paced environment.

Deploy, configure, maintain, and optimize projects on major cloud platforms including GCP, AWS, andAzure to ensure stable, secure, and efficient system operations.

Build and maintain CI/CD pipelines using automation tools such as Jenkins, GitLab CI/CD, GitHubActions, and Azure DevOps.

Manage and troubleshoot infrastructure components including Linux servers, databases, containers,networking, security groups, and access permissions.

Handle system monitoring, log analysis, performance optimization, and production issue resolution;support incident response and participate in necessary on-call support rotation.

Assist in implementing access controls, log auditing, data security, and permission management incompliance with Singapore's local cybersecurity, data protection, and regulatory requirements.

Write automation scripts in Python, Shell, or other languages to improve deployment and operationalefficiency.

Support customer technical communication, system delivery, training, and ongoing maintenance;facilitate technical coordination and project progress between China and Singapore teams
Requirements
Bachelor's degree or above in Computer Science, Information Technology, Engineering, or a related field.

Hands-on experience with AWS, GCP, or Microsoft Azure cloud platforms.

Strong knowledge of Linux, Docker, Kubernetes, CI/CD pipelines, and cybersecurity fundamentals.

Proven problem-solving skills and experience supporting production environments.

Proficient in written and spoken English and Chinese for bilingual communication and documentation.

Experience in government, transportation, smart city, enterprise systems, DevOps, SRE, or Cloud Security projects is an advantage.

Relevant cloud, Kubernetes, or DevOps certifications are preferred.

As a NAND Reliability Product  Engineer, you will be responsible for defining, evaluating, and safeguarding the Extrinsic/Intrinsic reliability of Micron’s NAND Flash products. You will work hands‑on with large‑scale data analysis, electrical failure analysis, and cross‑functional teams to ensure robust product reliability and prevent escapes to customers.

This role offers deep technical ownership at the intersection of device physics, circuits, process technology, and product engineering, with strong visibility across development and manufacturing organizations.

Key Responsibilities

• Define and implement NAND Flash reliability test flows to assess product reliability performance and prevent extrinsic/intrinsic reliability escapes.

• Perform high‑volume statistical data analysis to evaluate NAND DPM/ intrinsic reliability risks and trends.

• Drive electrical failure analysis, including  advance characterization, to identify root causes and solution spaces.

• Develop short‑term countermeasures such as targeted stresses and screens, applying knowledge of digital/analog circuits, device physics, and process engineering.

• Qualify the product with innovative control measures to provide best in Class DPM and Cell reliability.

• Collaborate closely with Fab, NAND Technology, NAND Design, Product Development, System Development, and Quality/Reliability teams to develop solutions and enable shipment of high‑quality end products.

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.

• Support customer inquiries and provide technical insights related to product reliability.

• Drive strategic initiatives to enhance the overall reliability program and influence the direction of future product development.

Qualifications And Skills:

• Bachelor’s degree  or Master’s degree  with of relevant experience in Electrical Engineering or related field

• Knowledge in Semiconductor Reliability, NAND Technology, and Electrical Failure Analysis.

• Understanding in Design, Device Physics, Circuits,  Process.

• Strong statistical analysis, communication, and problem‑solving skills.

• Experience with application of AI tools, LLMs ,  data analysis tools (e.g., Python, JMP, Tableau).

• Strong analytical and problem‑solving skills.

• Team player and self driver.

Why Micron

Micron is a global leader in memory and storage technology, delivering HBM,DRAM, NAND,  and NOR solutions that power the world’s data‑driven AI innovation. At Micron, you’ll work on technology that matters—alongside teams that value ownership, learning, and technical excellence.

Manages production support engineering for a specific product or group of products after transfer from design to high volume production. Interfaces with design, process, test and reliability engineering to solve problems. Sustains products with cost reduction and yield improvements.

5 days, 8.30am to 5.50pm

Salary: $4000+/- (Engineer); $5500+/- (Senior Engineer)

Location: Bedok 

Job scope:

• Lead the design and development of PLC, SCADA, and control systems (e.g., Siemens, Rockwell, Schneider)
• Integrate hardware and software systems across multiple platforms
• Conduct Factory Acceptance Tests (FAT) and Site Acceptance Tests (SAT)
• Support site installation, commissioning, and system troubleshooting
• Collaborate closely with Project Managers, clients, and vendors
• Prepare and review engineering documentation and reports
• Prepare system architecture, control philosophies, and functional design specifications
• Design control panels, wiring diagrams, and I/O lists
• Ensure compliance with client specifications, industry standards, and regulatory requirements
• Configure communication protocols (e.g., Modbus, Profibus, Ethernet/IP, OPC)
• Perform software integration between various subsystems and third-party equipment
• Conduct internal testing and debugging of control systems
• Monitor engineering progress and ensure timely delivery of deliverables
• Coordinate with vendors, subcontractors, and clients on technical matters
• Propose improvements in system design, engineering practices, and workflows
• Mentor junior engineers and provide technical leadership

Requirements:

• Degree in Electrical Engineering, Automation, Mechatronics, or related field
• 5–8 years of experience in system integration / industrial automation
• Strong hands-on experience in PLC/SCADA programming and commissioning
• Familiar with industrial communication protocols (Modbus, Profibus, Ethernet/IP, OPC)
• Experience in control panels and instrumentation systems
• With valid class 3/3A license 

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.

COMPANY DESCRIPTION

REC Group is an international pioneering solar energy company dedicated to empowering consumers with clean, affordable solar power through high-quality solar panels with a leading power density. As Solar's Most Trusted, REC is known for its patented innovations and multiple award-winning products with reliable long-term performance. The cornerstone for REC's strong reliability is advanced and highly efficient manufacturing using Industry 4.0 practices. Founded in 1996 in Norway, REC has always been committed to a low carbon footprint in its solar materials and panels. REC is headquartered in Norway with operational headquarters in Singapore and regional hubs in North America, Europe, and Asia-Pacific. As of December 2021, REC is part of Reliance Industries Limited, India's largest private sector company with revenues of USD 104.6 billion.

Find out more at recgroup.com

RESPONSIBILITIES

We are looking for a Ingot & Wafer (IW) cum Contract Manufacturing Engineer with good ethics and strong passion to take on proactive roles of qualifying and managing external suppliers to achieve company's strategic directions and key yearly goals for ingot and wafer factory. This position requires good analytical and interpersonal skills to work with external suppliers to achieve continuous improvements in IW cost, yield and cell efficiency by implementing best known methods. Selected candidates will work closely with the Process/Integration/QA and Planning team to define all the necessary process and Quality Control procedures to meet product functional and reliability requirements. Frequent travelling to India HQ and ability/willingness to travel at short notices will be a pre-requisite in view of the job nature and requirement.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Safety

• Engineer must adhere to all the HSE principles and WI during the work.

Quality

• Remember all WI, SOP, and Quality Policy. Work with related internal departments (such as Production, Equipment, Quality, Technology) and external suppliers to resolve wafer/cells/modules quality issues and implement required decisions made by internal management at the external supplier sites.
• Ensure no quality issues during qualification/certification and proper change management implementation phase.

Delivery

• Possess excellent project management skills by establishing schedules, coordinating with required resources both within the organization or external suppliers, projecting cost of qualifications/certification projects and risks identification to implement and execute the required projects.
• Responsible to generate bill of materials (BOMs) and Design/Engineering change, product transfer to internal/external lines and lead in DFMEA/PFMEA for product change.
• Ability to create and maintain excellent internal/external customer supplier relationship through excellent interpersonal and communication skills.
• The Key Performance indicators are the results and prompt project schedule control.

Cost

• Initiate and lead cost-reduction projects relating to cost reduction.
• These types of projects will relate to man, method, machine, and materials.
• In cases where projects are not initiated, participation towards such project will also be required.
• Assessment on external suppliers for IW and external wafer as potential cost driver as alternative/new material as well as supply risk mitigation.

Continuous Improvement

• Initiate and lead projects relating to IW cost reduction, IW production yield, cell efficiency and module power improvement activities.
• To run and execute projects base on RPDM process flow.
• Engineer will have the chance to research on new processes and materials at the suppliers' site to be implemented into our internal production environment.

Others

• Perform other duties as assigned. Duties will vary according to the degree of difficulties and involvement of the specific targets set in the department.
• Develop and maintain proper job methods, work instructions and change management.
• Regular reporting of project status.
• Lead trouble-shooting and root cause analysis efforts to resolve issues.

ESSENTIAL JOB COMPETENCIES:

Technical

• Strong technical knowledge in solar ingot growth, wafer manufacturing, and wafer-related process development.
• Familiarity with new material evaluation, qualification, and R&D activities for photovoltaic applications.
• Good understanding of process parameters, material behavior, product performance, and manufacturing requirements across upstream and downstream operations.
• Able to work in a fast-paced environment with good adaptability and professional judgment.
• Proficient in engineering data analysis, statistical interpretation, and technical assessment to support development and process improvement.
• Proficiency in English Language and at least one other language(s) is necessary to liaise with various stakeholders incl. vendors/suppliers.

Analytical & Problem Solving

• Strong analytical capability to identify technical gaps, interpret data trends, and solve process or material related issues effectively.
• Able to perform root cause analysis, evaluate risk, and develop practical corrective and preventive actions.
• Capable of translating complex engineering data into clear conclusions and actionable recommendations.

Soft Skills & Professional Attributes

• Good communication and collaboration skills to work effectively with cross-functional teams, suppliers, and stakeholders.
• Proactive, detail-oriented, and results-driven, with a strong sense of ownership and accountability.
• Able to work in a fast-paced environment with good adaptability and professional judgment.

Leadership

• Able to provide technical guidance and influence decision-making in material development, qualification, and process improvement activities.
• Demonstrates initiative in driving problem resolution, cross-functional alignment, and continuous improvement.
• Capable of supporting team development through knowledge sharing and technical mentoring.

Project Management

• Experience in managing technical projects related to material qualification, process development, plant ramp-up, or cost reduction initiatives.
• Able to coordinate timelines, resources, deliverables, and stakeholder communication to ensure effective project execution.
• Strong ability to prioritize tasks, track progress, and deliver outcomes within schedule and business objectives.

ADDITIONAL RESPONSIBILITIES:

• Perform other duties as assigned. Duties will vary according to the degree of difficulties and involvement of the specific targets set in the department.
• Develop and maintain proper job methods, work instructions and change management.
• Regular reporting of project status.
• Lead troubleshooting and root cause analysis efforts to resolve issues.

Technical / Professional:

• Degree in Electrical/Electronics/Mechanical/ Materials Engineering.

Technological:

• Working experience in Solar/Semiconductors/Electronics manufacturing industries will be an advantage.
• Knowledge in Semiconductor/Ingot & Wafer, Solar cell and module processes
• Knowledge in FMEA, DFMEA, DOE, Fish-Bone Analysis
• Strong technical analysis competency with the use of analytical tools like JMP, Mini-Tab for troubleshooting and data mining.

General:

• Suitable to work in cleanroom, outdoor testing, and wafer slicing/manufacturing environments.
• Able to adapt to different working conditions and support hands-on technical activities. Able to carry cell/wafer for testing. (
• Familiar with safety, discipline, and operational requirements in both lab and production settings.
• Ability to work under stress in a fast-paced environment with self-motivation.

People/Relations:

• Dynamic & committed with proactive working attitude.
• Ability to initiate without being asked.
• Challenging spirit to improve current conditions.
• Highly effective personal skills - communication and organization.
• Good Team player.

People Management:

• Able to work effectively with cross-functional teams across R&D, engineering, production, and quality.
• Capable of guiding team members, coordinating tasks, and supporting timely issue resolution.
• Demonstrates good communication, teamwork, and accountability.

Project Management:

• Able to manage technical projects related to material evaluation, process development, and cost improvement.
• Capable of coordinating timeline, resources, and deliverables to ensure smooth execution.
• Able to identify risks, track progress, and drive project completion.

Additional Advantageous Skills:

• Ability to perform software simulations using SPICE or MATLAB.
• Electrical characterization and physical characterization/ Failure Analysis tools for systematic troubleshooting and improvement.
• Characterization tools/technique competency preferred include: IQE tester, Spectrophotometer, Ellipsometer, Semilab WT-2000, Sinton WCT-1200, Corescan, Photoluminescence Technique and Electroluminescence Technique.

We are seeking an experienced Lead Engineer-Water Solutions / Testing & Commissioning to lead the testing, pre-commissioning, commissioning, and start-up of Ultra Pure Water (UPW) systems for high purity applications in semiconductor and advanced manufacturing environments.

Key Responsibilities:

• Develop and execute commissioning procedures, test plans, and protocols for UPW systems

• Perform pre-commissioning activities (flushing, hydrotesting, leak testing, chemical cleaning)

• Conduct functional testing for systems including RO, EDI, ion exchange, UV, degasification, and ultrafiltration

• Validate system performance against design specifications and client requirements

• Troubleshoot issues and support system start-up and handover

• Prepare commissioning documentation and reports

Requirements:

• Degree in Chemical, Mechanical, or Environmental Engineering

• At least 10 to 15 years of experience in UPW systems or advanced water treatment

• Hands-on commissioning experience for large-scale UPW plants

• Strong knowledge of RO, EDI, mixed bed, and polishing loop systems

• Familiar with SEMI standards and high-purity system design

Preferred Skills:

• Experience in semiconductor fab utilities (UPW, WWT, reclaim)

• Knowledge of water quality parameters (TOC, resistivity, conductivity, silica)

• Familiarity with PLC/SCADA systems

• Ability to read P&IDs and engineering drawings

Fire Protection Engineer

• 5.5 Days || 8.30am - 5.30pm (Mon - Fri); 8.30am - 12.30pm (Sat)
• Working location: New project (based at Central location), office at AMK 
• $3500 to $5500

Requirements

• Diploma/ Degree in Mechanical Engineering/Building Services
• Min 3 years of relevant experience
• Experience in Water Mist system and/or foam system is added advantage

Job scope

• To monitor and supervise sub contractors’ work progression according to shop drawings, method statements, material and samples
• To liaise and work with relevant authorities, sub-contractors or clients on shop drawings, materials and samples
• Review and align Fire protection design drawings to ensure compliance with design specifications and guidelines (Sprinkler System, Fire Alarm System, Hose reel System, Wet/Dry riser system, Fire Hydrant System, Fire person intercom system)
• Knowledge in M&E and able to Identify discrepancies between M&E, structural, ID, architectural and client provisions
• Manage and execute project as per the schedule
• To attend meeting with contractors to address issues and update progress
• Study and reviewing of drawings, specifications for compliance
• Allocate work to supervisors and ensure jobs are correctly and properly achieved within standards and SOP.
• Plan and lead testing and commissioning of the fire protection systems.
• Follow up with site / authority inspections, defects rectifications of the fire protection work.
• Plan and prepare OMM, training, As-Builts drawings for handing over of completed fire protection systems to client.
• Follow up with maintenance of fire protection systems during DLP

Interested applicants kindly submit your resume through here and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

Tan Yu Jing Reg No: R26161199

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Responsibilities:

• Orchestrate seamless digital workflows, automate business processes, and deliver unified user experiences across enterprise platforms.
• Monitor, troubleshoot, and optimize automation processes and integration workflows.
• Ensure compliance with security, governance, and performance standards.

Requirements:

• Degree in Information Technology or Computer Science or its equivalent.
• 5 years+ experience in system design and development.
• 5 years+ of technical experience in IT system support & maintenance.
• Ability to implement IT systems, change requests aligned with best practices, business objectives
• Strong problem-solving and communication skills
• Technical skills required include the following:

• RPA using Automation Anywhere
• SharePoint
• Proficiency in .Net, Java, JavaScript, HTML, and SQL
• K2 Workflow and SAP Fiori is preferred
• RPA certification would be an advantage.

What you need to do now  

If you're interested in this role, click 'apply now'to forward an up-to-date copy of your CV, or call Denise at Hays on +65 96110531 or email denise.lee@hays.com.sg for a confidential discussion.  

Referrals are welcome. 

EA Reg Number: R21103035 

EA License Number: 07C3924 | Company Registration No:200609504D