Total 207 design engineer job vacancies in F&B / Tourism / Hospitality category

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.

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

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.

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 experienced Design Engineer to support detailed engineering, design development, and project execution activities. The successful candidate will be responsible for preparing engineering drawings, performing design calculations, supporting procurement activities, and ensuring engineering deliverables are completed in accordance with project specifications, industry standards, and schedule requirements.

Key Responsibilities

Engineering & Design

• Execute detailed engineering and design activities to meet project requirements, contractual obligations, and applicable industry standards.
• Prepare and review: P&ID drawings Fabrication drawings Equipment layout drawings Pipe routing drawings Equipment and material datasheets
• Perform: Equipment sizing calculations Pipe sizing calculations Hydraulic calculations Pipe stress analysis Material take-offs (MTO)
• Raise purchase requisitions for equipment and materials.
• Review, verify, and sign off engineering design deliverables.

Project & Technical Support

• Liaise with in-house and overseas design teams to ensure engineering deliverables are completed on schedule.
• Support Project Management and Construction Teams during project execution activities.
• Provide engineering support during testing, commissioning, and start-up activities as required.
• Participate in technical reviews, design discussions, and problem-solving activities.

Procurement & Cost Optimisation

• Evaluate vendor quotations and provide technical recommendations during vendor selection.
• Identify and implement value engineering opportunities to improve efficiency and reduce project costs.
• Support tendering and business development activities by providing engineering input where required.

Qualifications & Requirements

• Bachelor's Degree or Master's Degree in Engineering.
• Minimum 5 years of experience in engineering design and detailed engineering activities within industrial, manufacturing, process, utilities, oil & gas, chemical, energy, or infrastructure projects.
• Strong understanding of engineering drawings, piping systems, equipment layouts, and engineering calculations.
• Experience in equipment sizing, hydraulic calculations, material take-offs, and engineering documentation.
• Highly motivated, proactive, and able to work effectively under pressure and tight project schedules.
• Strong communication and coordination skills with multidisciplinary teams.

Preferred Experience

• Experience supporting construction, testing, commissioning, start-up, or operational activities.
• Proficiency in AutoCAD.
• Familiarity with SAP, Navisworks, Microsoft SharePoint, and Microsoft Teams.
• Advanced proficiency in Microsoft Excel, Word, and PowerPoint.

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.

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.

• Manage end-to-end equipment lifecycle processes, from design specifications to operational readiness
• Ensure pharmaceutical and biologics manufacturing facilities and utilities meet strict cGMP regulations.
• Protocol Execution: Generating and executing C&Q protocols (FAT/SAT, IQ, OQ, VMP) for process systems, utilities, and lab equipment.
• Compliance & Validation: Ensuring systems meet cGMP and regulatory authority requirements.
• Troubleshooting: Investigating deviations and executing root-cause analyses for malfunctioning manufacturing systems (Delta V).
• Contractor Management: Supervising and guiding external vendors, contractors, and junior engineering staff.

Requirements:

• Min. Degree in any relevant science field
• Possess prior working experience in biotechnology or project engineering, preferrably from a bio-pharma environment.
• Familiar with DeltaV operations
• Able to work 12 hours rotating shift (day / night)

Interested candidates, please forward your resume to 

Consultant: Jalene Tan (R26160390)

Recruit Express Pte Ltd (99C4599)

jalenetan@recruitexpress.com.sgNo.: R26160390

Job Summary

Looking for a technical windows expert for all Cloud operations services (Windows) in the organization. As such, he/she will provide support and act as the last level of escalation point for all production support activities within the operations team. Will be accountable for the overall health and stability of the technical solutions within their scope and has to work effectively with technical peers such as architects, peer experts and project teams on technology road maps and projects. They will have control over the scope of technical activities, develop best practices, manage knowledge and ensure the necessary trainings are imparted to the team wherever applicable.

The team operates and delivers projects for its infrastructure scope covering Cloud Windows OS, Failover Cluster, Hyper-V, VMware, AWS, GCP, and HPE DL/Synergy/Simplivity/Alletra series hardware.

Job Detailed Description

An Expert has a wide spectrum of responsibilities and actions.

As an expert of his/her team, he/she:

• assigns technical tasks and manages delegation for technical issues,
• animates the team to encourage collaboration and sharing of best practices,
• has a role in supporting technical skills development and provides training when required.
• supports new technologies and leverages them to provide consistency of service across streams,
• manages service improvements for all Windows services supported throughout the organization,
• documents, reviews, maintains and shares relevant technical information to the team
• provides technical direction, supports services both proactively and reactively to maintain the availability and reliability of system infrastructure in accordance to the SLA,
• focuses on automation and optimum use of the team to improve efficiency,
• drives and delivers root cause for any high severity issue,
• reviews technology changes to identify potential risks,
• is responsible for problem management and resolution.

As an experienced professional in Windows, he/she:

• supports his/her team during diagnosis when technical issues rise in his/her scope of expertise,
• is aware of the global IT structure so that he/she anticipates interrelationships within the organization,
• engages with technical peer, Service managers, Architect and project teams on technology roadmap and projects,

• facilitates transformation projects and suggest future directions for new areas of improvement and change,
• guarantees the production readiness and license to operate of new projects and solutions,
• is available and able to drive technically, any complex or high severity incidents that occur within the scope of their role,
• actively engages to understand new technologies and technology trends and reviews them with a view to incorporating them into the operations,

As the escalation point of contact for Clients, he/she:

• manages the daily relationship with Clients including planning, requests clarification, risks mitigation and service quality.

Legal and Regulatory responsibilities, he/she:

• complies with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.
• maintains appropriate knowledge to ensure to be fully qualified to undertake the role.
• completes all mandatory training as required to attain and maintain competence.

Job Specific Environment and/or Organization

• Working hours will be in rotating shifts and primarily to cover Europe business hours
• On-call support will be expected on a rotational basis on both weekdays and weekends

Candidate Profile

Mandatory track record

• 7+ years of experience in managing Windows environment with about 3-5 years of experience in financial institutes.
• Subject matter expert on core technologies – Windows OS, Hyper-V and Failover Clustering.
• Knowledge of VMware technologies (vSphere, vCenter, VROPS, VRLI) will be an advantage.
• In-depth hands-on knowledge/experience with HPE hardware (DL, Synergy, Simplivity, Alletra series).
• In-depth hands-on knowledge/experience with Python, PowerShell and Workflow integration tools.
• Knowledge and/or hands on working experience with patching tools and Active Directory.
• Ability to solve complex problems spanning multiple technologies and disciplines.
• Excellent communication, interpersonal and logical skills.
• Customer service oriented and a strong team player.
• Ability to work under pressure and a commitment to solving issues.

If interested, you can click on “Apply here” or write an e-mail to deeksha.agarwal@adecco.com with your updated resume.

NOTE: - Only shortlisted candidates will be contacted back.

Thanks & Regards

Deeksha Agarwal

EA Licence No.91C2918

Personnel Registration No.  R26161520

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.

• Develop and optimize burn-in test procedures for semiconductor devices, components, or systems.
• Support on Designing burn-in boards, fixtures, and test hardware.
• Analyze burn-in data to identify failure trends and root causes.
• Define burn-in conditions (temperature, voltage, duration, stress levels) according to product requirements.
• Troubleshoot hardware and process issues in burn-in operations.
• Support qualification and reliability testing (HTOL, HAST, temperature cycling, etc.).
• Ensure compliance with industry standards (JEDEC, MIL-STD, IPC).
• Automate data collection and reporting for yield and reliability analysis.
• Develop, program, and optimize AOI inspection programs for PCB assemblies.
• Set up and maintain AOI equipment (2D/3D inspection systems).
• Analyze defect data and improve detection capability while reducing false rejects.
• Troubleshoot AOI hardware, software, and vision-related issues.
• Support new product introduction (NPI) by creating AOI programs and validation plans.
• Monitor AOI performance metrics (FPY, false call rate, escape rate).
• Drive continuous improvement to reduce cost, cycle time, and failure rates.
• Responsible for pre-acceptance and release machines incl. support in setup, fine tuning, sustaining and maintenance.
• Mechanical, electrical alignment of the equipment according to supplier specification
• First contact person regarding appointments with equipment suppliers and regarding questions of the equipment suppliers. Monitoring of due dates. Technical discussions with supplier, engineering.
• Develop measures to reduce failures, to improve quality and output and to reduce costs together with the engineering
• Support improvement activities: Actively cooperate in improvement projects, bring in suggestions to improve production KPIs, like CT/ Output, Yield/OEE, Budget/Cost, reduce failures (MTBF, MTTR, down times) and improve quality
• Support and train Operators/Technician (as per Work Instruction) and execution of maintenance activities.
• 8D responsibility and hold lots dispose
• Align all changes with lead plant engineering
• Support FMEA and Control Plan
• Ensure spare part availability
• Execute any other related duties assigned by immediate supervisor from time to time. 

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.