Total 215 network engineer job vacancies in F&B / Tourism / Hospitality category

About Us

Vivo Surgical is a patient-focused, clinician-driven medical device developer and manufacturer. Headquartered in Singapore with offices in China and Thailand, we are pioneering a novel endoscopic surgical robot for complex endoluminal surgeries. ISO 13485 certified with international accreditations awarded such as the US FDA and European CE mark, our devices target the medical needs of the world through innovative applications of science & technology. These encompass such fields as in vivo surgical LED lighting, portable endoscopy and endoscopic robots, which are strategically co-developed with world-class healthcare institutions and KOL collaborators. Join us as we build towards our vision of being Asia Pacific’s leading medical device developer and manufacturer.

About The Role

We value the importance of having a robust engineering team that would serve as a key pillar for sustained commercial success. To that end, we are looking for a Verification & Validation (V&V) Engineer to join us on this journey. In this role, you will be part of our fast-paced, fast-growing team and will take ownership of your role from the get-go. You will be planning, performing and documenting the system verification, integration and validation activities of our robotic system. You will be testing the requirements of our surgical robot to ensure that the product functions as intended. You will work with a multi-disciplinary team composed of mechanical, electrical, software and clinical engineers to develop the necessary test setups, protocols and reports. Your role will require you to work in close tandem with our external partners and suppliers.

Your responsibilities shall include the following:

• Interpret and translate system and subsystem design requirements into verification and validation plan.
• Develop test protocols, procedures and methodologies based on requirements and risk considerations.
• Design, develop test fixtures, jigs and test systems for verification activities.
• Execute testing, analyze results and generate comprehensive reports, ensuring full requirements traceability and system characterization.
• Coordinate and support external compliance testing (e.g. IEC 60601-1, IEC 60601-1-2, ISO 10993), including preparation and documentation.
• Contribute to risk management processes including Design FMEA and hazard analysis activities.
• Ensure all test equipment is properly maintained, calibrated and compliant with quality standards.
• Collaborate cross-functionally to investigate, troubleshoot and resolve system issues and failures.
• Drive continuous improvement by contributing ideas and supporting rapid design iterations to better meet user and clinical needs.

Your Qualifications & Experience

• Minimum Bachelor’s degree in Mechanical Engineering, Biomedical Engineering or related discipline.
• Minimum 3 years of experience in the medical device industry, with hands-on involvement in testing electromechanical systems.
• Solid understanding of standards such as IEC 60601-1, IEC 60601-1-2 and ISO 14971 is an advantage.
• Proven experience in developing and executing design verification protocols, generating test reports within a New Product Development (NPD) environment.
• Proficiency in CAD software such as SolidWorks and ability to interpret technical drawings is a plus.
• Familiarity with statistical analysis tools and methodologies such as Gage R&R and Minitab is a plus.
• Strong analytical, troubleshooting, problem-solving and communication skills.
• Adaptable, proactive, and able to thrive in a fast-paced, dynamic startup environment.

Contact

Please send your CV and cover letter to: hr@vivo-surgical.com. We look forward to receiving your application.

Job Scope:

You will leverage AI/ML, statistics, data technologies and cloud computing platforms to develop integrated, innovative data-driven solutions which will support and advance core work and strategic goals against the backdrop of an evolving energy landscape. The key responsibilities of the officer include:

• Design, build, deploy, manage and maintain end-to-end data and AI/ML projects, as well as Big Data and Cloud platforms to meet the multi-faceted needs of a rapidly growing data-driven organization in the energy sector

• Perform project management and product owner activities for the development, testing and maintenance of enterprise data systems such as data lakes, analytics platforms and AI platforms according to the Agile methodology

• Develop and implement scalable and reliable Extract, Transform and Load (ETL) processes for the ingestion and integration of large, structured and unstructured data from a variety of data sources. This includes systems that are on-premise and cloud platforms

• Working with business users, project teams, government agencies, international organizations and industry partners to explore new AI/ML and data technologies, tools and techniques in the energy sector; and identify new deployable solutions to support and advance the companty's core work and strategic goals.

Requirements:

• Education in Computer Science, Data Science, Statistics, Economics, or other related disciplines with substantial quantitative content

• Relevant working experience, especially in handling data analytics or AI/ML projects; as well as strong knowledge of data/cloud technologies.

• Demonstrable experience in leveraging data/ML techniques such as data mining, data engineering, machine learning, natural language processing, etc.

• Demonstrable experience in programming languages like SAS, R, Python, Java, or Scala for data science and/or data processing applications.

• Excellent analytical, coordination and communication (written and verbal) skills are critical for this position.

• Background in handling data analytics as well as strong knowledge of data/cloud technologies.

• Applicants must possess an independent problem-solving mindset with a strong desire to find innovative and 'out of the box' solutions to problems.

• Applicants must possess strong interpersonal skills to engage, collaborate, build and maintain relationships with stakeholders.

• Applicant must be a committed team player, with a strong interest to shape Singapore's energy landscape and public service.

• Knowledge/experience in working with Gen AI technologies such as LLM models would be an advantage.

Working Hours: Office Hours

Contract Period: 12 months

Salary: $4500-$7500 per month (depending on job position, qualifications and experience)

Location: Pasir Panjang

EA License No.: 96C4864
Reg. No.: R26161270 JOEY TAY YI TING

Job Description & Requirements

ASSISTANT ENGINEER $3000 - $4700

(Commercial Kitchen Equipment)

Perform deliver, installation, service, troubleshoot, repair and maintenance of commercial kitchen equipment & other works related

1. Perform various types of commercial kitchen equipment installations, commissioning,

modification, troubleshooting, repair, servicing, other technical support, on-site training and

ensure that it is safe, reliable and efficient.

2. Good knowledge on various types of commercial kitchen equipment, electronical,

mechanical and refrigeration.

3. Provide training to customers on product usage and maintenance.

4. Ability to read and comprehend wiring diagrams, and to follow manuals on operation and

installation to successful complete tasks.

5. Ability to quickly understand and carry out both written and oral instructions on technical

advice effectively.

6. Ensuring all works compliance with appliance standards and Health and Safety Act.

7. Ensure adherence to company standards and customer satisfaction.

8. Submission of daily work report.

9. Other ad hoc duties.

10. Valid Driver’s License with a good driving record to operate a commercial vehicle.

11. 3 years or above relevant experience in same/similar industry. (Commercial

Kitchen Equipment)

12. Good physical condition.

13. Willing to work overtime on Sunday & Public Holiday.

14. Working hours : Mon-Fri : 9am-6pm, Sat : 9am-1pm

* Please note that only selected candidates will be notified

Responsibilities

• Design and coordinate power distribution, PLC, SCADA and Facility Control & Monitoring Systems (FCMS).
• Prepare single-line diagrams, control philosophies and IO schedules.
• Review vendor and subcontractor submissions.
• Support construction, FAT, SAT and commissioning activities.
• Participate in multidisciplinary design reviews.
• Design LV power distribution systems.
• Perform load calculations and cable sizing.
• Prepare and review single line diagrams.
• Coordinate with utility and equipment vendors.
• Support construction and commissioning activities.

Requirements

• Diploma or Degree in Electrical, Instrumentation, Automation or related Engineering discipline.
• Experience in industrial, cleanroom or semiconductor facility projects.
• Familiar with engineering design and site execution

Good to Know

• Power Distribution Systems
• PLC Programming
• SCADA Systems
• FCMS / BMS
• Instrumentation & Control
• SEMI Standards
• FAT / SAT / Commissioning

As a Senior IT Engineer (Cloud & Microsoft 365), you will be responsible for designing, implementing, and managing cloud, Microsoft 365, and hybrid infrastructure environments. You will play a key role in ensuring the availability, security, and performance of IT systems while supporting the organization's cloud transformation and digital workplace initiatives.

Key Responsibilities

• Design, implement, and support cloud, Microsoft 365, and hybrid infrastructure solutions.
• Administer Microsoft 365 services, including Exchange Online, Teams, SharePoint, OneDrive, and Entra ID.
• Manage Intune, endpoint security, Conditional Access, and MFA policies.
• Plan and execute cloud and Microsoft 365 migration projects.
• Monitor, maintain, and optimize the performance, availability, and security of IT systems.
• Administer Windows Server, Active Directory, virtualization, and related infrastructure services.
• Implement backup, disaster recovery, and business continuity solutions.
• Troubleshoot and resolve complex infrastructure, cloud, and Microsoft 365 issues.
• Automate routine tasks using PowerShell and other administration tools.
• Maintain technical documentation and standard operating procedures.
• Provide technical guidance to junior engineers and support project delivery.
• Ensure compliance with security policies, industry standards, and best practices.

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.

Employment Term: 1 year contract (subjected to extension)

Work Location: Sengkang

Responsible for Testing and Commission (T&C) along with technical support of electrical/signalling system for SPLRT Phrase 3 Project (C810D).

• T&C works associated with LRT electrical/signalling system

• Assist to prepare and review T&C procedures and checklists

• Perform and supervise testing and commissioning work as per approved procedures

• Assisting in troubleshooting and rectification of faults during T&C

• Communicating effectively with the T&C manager, design engineers, site supervisors, project manager, and other internal stake holders.

• Communicating effectively with various external stake holders e.g. other contractors (System Wide Contractors), Subcontractors, SBST, LTA.

• Any other ad-hoc works assigned by project

manager and commissioning manager

Job requirements

• Degree/Diploma in Electrical/Electronics/Telecommunication

• Minimum 2-3 years of Electrical T&C experience (MRT/LRT T&C experience in

signalling/electrical will be preferred)

• Should be conversant with electrical/control/signalling system (MRT/LRT electrical/signalling system knowledge will be advantageous)

• Should be keen to learn MRT/LRT electrical /signalling system

• Able to work in night shifts

• Strong commitment to the job

• Should be conversant with LTA’s regulations

• Ability to work as a team with motivation

• Proven ability to consistently get results and achieve time-sensitive goals

• Ability to flexibly adapt to change and challenges, ability to work calmly under pressure and exercise good judgment

• Effective communication skills both verbally and in writing with multiple stakeholders including superiors, colleagues, contracted staff, and individuals both inside and outside the organization.

• Effective analytical and problem-solving skills.

• Able to operate computer programs under Windows such as: MS Office

What’s in It for You?

Join an Industry Leader | MNC/Listed, Established & Respected

Competitive Salary: : Up to $5000+ AWS + Bonus

Work-Life Balance OR Work Schedule: 8 AM - 5.30 PM (Mon – Fri)

Work Location: Tuas (Shuttle service provided-Tanah Merah Mrt)

Your Role, Your Influence:

Responsibilities:

• Monitor real-time system events and alerts, ensuring timely detection and escalation of issues.

• Coordinate response activities, including activating support teams and tracking incident resolution.

• Act as first responder for system defects and perform initial troubleshooting.

• Support communication and coordination via calls and group channels for incident management.

The Ingredients for Success:

• Diploma or Higher Nitec in Infocomm Technology or related field.

• Comfortable working 12-hour shifts, including weekends and public holidays (based on roster).

• Prior experience in a Network Operations Centre (NOC) is an advantage.

Click Apply Now to upload your updated Resume/CV, and take the first step toward an exciting new career!

Only shortlisted candidates will be contacted.

TEH SIEW YING

Registration No: R21103305

EA Licence no.: 14C7121

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.

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

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.