Total 2,224 Senior Executive purchasing engineer job vacancies in Hong Kong

Job Description

• Industry/ Organization Type: Manufacturing and Production
• Position Title: Project Executive / Project Engineer
• Working Location: Island wide (office at Kallang)
• Working Hours: 5 days (Monday to Friday,9.00am to 6.00pm)
• Salary Package: Basic + OT + AWS + Variable Bonus
• Duration: 1 year contract (Convertible to Permanent Role)

Key Responsibilities

• Manage project execution and coordination to ensure smooth delivery of works.
• Carry out on-site installation, testing, and commissioning of systems and equipment.
• Provide basic operational training to end users or customers.
• Support other departments when required, based on operational needs and management approval.
• Be prepared to perform overtime or standby duties after office hours, on weekends, and on public holidays when necessary.
• Other tasks as assigned by Management.

APPLY NOW!!!

• Diploma or ITE qualification in Electrical / Electronic Engineering or a related discipline.
• Prior experience with carpark equipment or in a related industry will be an added advantage.
• Possess a valid Singapore Class 3 / 3A driving licence with at least 1 year of driving experience.
• Basic knowledge of AutoCAD and/or BIM modelling.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83750 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Our client is from Oil and Gas industry, a local leading player. They are looking for a Senior Electrical Engineer for the next phase of their business. They are located in West.

Duties:

• Supervise and enhance the reliability of electrical equipment in the Gas Engine Generator (GEG) area.
• Implement and maintain reliability programs and maintenance procedures for electrical systems.
• Manage minor CAPEX electrical projects in line with company standards.
• Investigate electrical failures to identify root causes and implement solutions.
• Coordinate with external stakeholders, including government agencies, on electrical matters.
• Support major expansion projects from an electrical and operational perspective.
• Work with Licensed Electrical Workers to ensure system integrity.
• Participate in emergency response, with assigned roles and responsibilities.

Requirements

• Min Bachelor’s Degree in Electrical Engineering or any relevant field.
• Min 5 years’ experience in Oil & Gas or Petrochemical industry
• Experience in Electrical maintenance or design

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

About the Role

We are seeking an experienced professional with deep expertise in SWIFT-related business domains (standards, payments, and securities) and good technical knowledge in trading systems. This role will provide subject matter expertise on SWIFT flows, oversee technical design reviews, and ensure infrastructure architecture aligns with business and operational requirements.
You will act as the Point-of-Contact (POC) for third-party SWIFT technical teams, guiding implementation planning and coordinating with internal stakeholders to ensure smooth delivery.

Job scopes

• Provide in-depth expertise in SWIFT business and technical flows.
• Review and oversee SWIFT infrastructure architecture blueprints in collaboration with cross-functional IT and operations teams.
• Act as POC with third-party SWIFT technical teams, offering guidance on infrastructure implementation planning.
• Coordinate with internal teams to ensure resource availability.
• Lead business process modelling with process owners and third-party teams, ensuring automation and adoption.
• Translate functional requirements into technical specifications for analysts and developers.
• Review and develop test cases to ensure comprehensive coverage.
• Provide arbitration and subject matter expertise when requirements conflicts arise.
• Advise on best practices and guide implementation planning.

Job Requirements

• Bachelor’s degree in IT or related field.
• Minimum 5 years’ experience in financial services, mainly in a technical business lead role.
• Good background in banking operations, back-office processes, or system integration.
• Extensive knowledge of SWIFT products and applications: Alliance Gateway, Alliance Access, WebAccess, SWIFTNet, FIN messaging, ISO 20022.
• Deep understanding of payments and securities messaging flows.
• Familiarity with SWIFT’s Customer Security Program (CSP) and proposed controls.
• Experience with BPM tools and process automation.
• Excellent knowledge of IT technology stacks in medium to large-scale implementations.
• Excellent written and verbal communication skills.
• Highly organized, able to work independently in fast-paced environments, and adhere to governance processes.

Thankyou for your interest!

We respect your privacy andall communication will be treated with confidentiality. If you wish to knowmore about this position or explore other roles, please prepare your updatedprofile and get in touch with our consultant at  cristina.malijan@manpower.com.sg

CristinaMalabuyoc Malijan EA License No. 02C3423 Personnel Registration No. R1111547

Please note that your response to this advertisement andcommunications with us pursuant to this advertisement will constitute informedconsent to the collection, use and/or disclosure of personal data byManpowerGroup Singapore for the purpose of carrying out its business, incompliance with the relevant provisions of the Personal Data Protection Act2012. To learn more about ManpowerGroup's Global Privacy Policy, please visithttps://www.manpower.com.sg/privacy-policy

Job Responsibilities:

Hyperscale Server Design Engineer is responsible for designing, validating, and optimizing high-performance server hardware, racks, and infrastructure systems to support massive-scale cloud computing environments. Responsibilities include:

• Conduct server feasibility studies, define and maintain hardware architectures and solutions, and create execution plan.

• Design schematic, create BOM, support prototype/engineering build.

• Guide and work with PCB engineers on layout and placement.

• Design, deploy, and operate large-scale GPU-based compute environments, including optimizing network topologies like InfiniBand and Ethernet.

• Lead server validation and bringing up complex systems, including lab validation, SI/PI (Signal Integrity/Power Integrity) analysis, and debugging.

• Partner with software, datacenter engineering, mechanical and thermal, and vendor teams to ensure seamless hardware/software integration. Drive root cause analysis and corrective actions.

• Apply advanced knowledge of server energy efficiency and power redundancy to optimize for performance and cost.

• Work with manufacturing teams to resolve issues and to support NPI and production builds.

• Provide technical expertise and consultation to peers.

• Maintain consistent high quality of engineering design work to develop robust, high performance and cost effective designs and products.
  

Job Requirements:

• Degree/Master in Electrical/Electronic/Computer Engineering or equivalent

• Minimum of 5-10 years of experience in computer architecture, server design or hardware validation.

• Strong design experience and knowledge in any of the following:

  • Knowledge of GPU/CPU architectures, high-speed interfaces (QSFP-DD/OSFP) and memory interfaces such as DDRx DRAM, NAND/NOR/SPI Flash.

  • High speed interfaces including PCIe, NVLink, GbE, SAS, USB.

  • BMC implementations.

  • High DC voltage power designs and distribution, and thermal management.

  • High-speed Ethernet networking.

  • Experience with liquid cooling is an advantage.

• Understanding integration of software and hardware.

• NPI project execution experience and familiarity with Product Development Life Cycle will be desirable.

• Experience using CAD tools (e.g. Cadence Allegro, Mentor PAD).

• Experience with SI/PI simulation (e.g. ANSYS HFSS/SIWave) and lab equipment like high-speed oscilloscopes and VNAs are added advantage.

• Familiar with ISO9001.

• Troubleshooting skills in high-speed signaling, thermal or power delivery.

• Self motivated and willing to learn new technology and skills who works well under pressure.

• Excellent oral and written communication skills.

The Process engineer plays a vital role in D2W hybrid bonding process optimization, yield improvement and to develop innovating process flow or path finding. PE Works closely between internal Hybrid team, partner and Customers.

• Responsible for process development & CIP’s to improve the product yield
• To conduct DOE’s and experimental process trails and data analysis
• Define new process flow for customer products and run internal feasibilities
• Provides technical subject matter expertise in the area process developments
• Understands the Hybrid bonding upstream & downstream process flow to relate actual Hybrid bonding or Fusion bonding yield related topics
• Process optimization and data analysis to improve the process responses hybrid bonding and annealing
• Supports SOP, technical documentation and product operating manual writing activities and publish BKM process flow
• Builds-up technical know-how on product/problem solving via structured knowledge transfer between the on-site support team
• Machine and Technical Support
• Machine operation and application/product setup
• Prepares and executes customer demo feasibilities and recommend the process flow
• Coordinates and provides technical solutions / problems solving on customer process related issues in collaboration with Field issues
• Investigates process issues at customer site and supports Engineering team

Education

• Master’s in mechanical/electrical/Electronics /Physics or PHD

Work experience

• Minimum 5 years relevant experience in C2W or W2W hybrid bonding and Front end wafer fab/backend process
• Significant practical experience in solving process issues and process optimizations including new process setup
• Hands-on experience in semiconductor front end or backend Process and equipment’s including defectivity & yield engineering

Expertise and methodology

• Good in MS-Office, data analysis SW like JMP, Matlab
• Hands-on Process Development Expertise and able to share the Problem Statement in crystal clear

EA License : 02C3423

EA Personnel : R22108699

You will be a key technical reference for the design,implementation, and day‑to‑day operations of our global network and securityinfrastructures, supporting a highly distributed, international environment.

Role Synopsis and profile

As a Network & Security Expert within the Corporate IT Infrastructures team, you will:

Design & operate network infrastructure

• Design, implement, and operate LAN/WAN architectures
• Manage and optimize cloud connectivity (interconnection with public clouds)
• Act as Routing (BGP) expert, ensuring performance, resilience, and scalability
• Contribute to the design, rollout, and tuning of SD‑WAN solutions
• Lead regional network projects and collaborate with international IT teams

Design & operate security infrastructure

• Operate and improve firewalling solutions in line with IT security policies
• Manage and secure IPSec / SSL VPN for remote sites and users
• Contribute to SASE architecture design, deployment, and operations

Operations & Performance

• Operate network, security, and related system components on a daily basis
• Monitor infrastructure health and performance (capacity, latency, availability)
• Proactively identify bottlenecks and implement optimizations and improvements
• Ensure a high level of availability and service continuity for critical services

Incident & Problem Management

• Acknowledge, qualify, and categorize incidents and service requests
  
• Troubleshoot complex network and security issues (L2–L4+)
  
• Coordinate escalation to internal and external experts/vendors when necessary
  
• Contribute to root‑cause analysis and long‑term corrective actions

Support & Collaboration

• Provide Level 3 expertise and support to local IT teams worldwide
  
• Advise users and managers on new products, solutions, and best practices
  
• Train IT staff and key users on network and security solutions
  
• Work closely with cross‑functional project teams (infrastructure, applications, security, etc.)

Documentation & Governance

• Produce and maintain up‑to‑date technical documentation (diagrams, procedures, standards)
  
• Contribute to the definition and application of IT policies and standards
  
• Provide regular reporting to Infrastructure Managers (status, risks, improvements)

Requirements:

• 15 years of experience in network and security engineering/operations in large complex environments (multisite, international, hybrid cloud).
• Degree in computer Science or equivalent, industry certifications desirable
• Strong expertise in routing protocols, especially BGP
• Solid experience with SD WAN solutions with various manufacturer standards, Paloalto, Cisco, Velo Cloud etc.
• Good knowledge of cloud connectivity (interconnection with major cloud providers)
• Strong understanding of LAN/WAN architectures, VLANs, QoS, redundancy, and high availability
• Hands on experience with firewalls (design, policies, troubleshooting)
• Proficiency in VPN technologies: IPSec and SSL
• Knowledge and practice of SASE concepts and solutions
• Good understanding of security best practices in network design and operations

Job Description:

• In charge of developing and implementing new optic / illumination components/system
• Responsible for designing and developing automated visual inspection systems for a full range of semiconductor equipment. 
• In charge of resolving existing optical/illumination issues within the equipment.
• Identify necessary and desirable improvements for vision optical system performance.

Job Requirement:

• Minimum Degree in Optics Engineering, Physics, Photonics, or a related field is required.
• Minimum with 5 year working experience in optical design software, alignment, testing, and high magnification optics.
• Knowledge of LED illumination systems, lenses, specifications, design trade-offs, and basic optics modeling techniques
• Experience in 2D drawing

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

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

RN Care Pte. Ltd
EA License No: 17C8900

Job Description:

 Designs, builds, and maintains applications specifically optimized for cloud environments, focusing on scalability, resilience, and automation

 Key responsibilities include creating microservices, containerizing applications (Docker, Kubernetes), and developing CI/CD pipelines

 Involvement in the entire software development life cycle including application development, implementation, testing, maintenance and documentation

 Review customer’s existing business workflows / system functionalities and provide recommendations for improvement

 Support architecture design during pre-sales and implementation phase

 Lead a small team of software engineers and mentor junior engineers

 Implement software best practices and be an advocate for the team

 Responsible for the installation, configuration and integration of COTS products with our software products

Technical Skill Sets:  Proficient in Container Technologies: Deep understanding of Docker and Kubernetes.

 Proficient in one or more back-end programming languages / frameworks such as GoLang or .NET/.NET Core

 Proficient with JavaScript and one or more front-end frameworks such as React

 Proficient in Git

 Proficient in Building applications directly on kubernetes platforms utilizing managed services.

 Proficient in Monitoring & Optimization: Ensuring service reliability, security, and cost-efficiency through logging, monitoring (e.g., Prometheus), and performance tuning

 Experience with DevOps CI/CD and testing tools (eg. Github Actions, ArgoCD)

 Good understanding of Agile/Waterfall software delivery methodology

 Able to work independently and as a team

Job Description:

• Develops and optimizes BCD process technology and devices for power applications, involving TCAD simulations, device layout, characterization, and bench testing
• Develop and integrate new BCD device architectures and process modules for company BCD platforms.
• Conduct TCAD simulations to understand device behavior and calibrate simulation models to match experimental results.
• Design and lay out device test structures and new BCD device platforms.
• Analyze device performance and reliability through bench testing and data collection.
• Work with cross-functional teams, including the modeling team, to satisfy customer needs and develop advanced device models.

Job Requirement:

• Min Degree in Physics or Electrical Engineering.
• Min 3 year of expereince in TCAD (Technology Computer-Aided Design) tools for simulation and calibration.
• Experience with device layout, design rule checks, and test structure generation.
• Knowledge of BCD process development and device characterization techniques.

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

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

RN Care Pte. Ltd
EA License No: 17C8900

Responsibilities:

• In charge of establishing the process and work in the team to implement risk management best practices in projects
• Implement and maintain the office's ISO 13485 and IEC 62304 compliant quality management system processes and procedures across departmental work and projects.
• Responsible in providing guidance and development support to the projects handled
• Taking charge of validating and advising project teams on regulatory, quality and risk requirements
• In charge of implementing and maintaining ISO 13485 and IEC 62304-compliant quality management system processes and procedures
• Responsible in
• In charge of managing project tasks which includes ensuring of timely completion of project milestones and meeting KPIs
• In charge of compliance with quality, regulatory and organisational policies and systems while supporting required record-keeping and documentation.

Requirements:

• Min Degree in Engineering /Science or relevant
• Min 2 years of working experience in QMS, Risk Management and design & development in medical industry
• Experience in ISO13485 /IEC62304 audit is required

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

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

RN Care Pte. Ltd
EA License No: 17C8900

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.

About STMicroelectronics

At ST, we are 48,000 creators and makers of semiconductor technologies mastering the semiconductor supply chain with state-of-the-art manufacturing facilities. An integrated device manufacturer, we work with more than 200,000 customers and thousands of partners to design and build products,solutions, and ecosystems that address their challenges and opportunities, and the need to support a more sustainable world. Our technologies enable smarter mobility, more efficient power and energy management, and the wide-scale deployment of cloud-connected autonomous things. We are on track to be carbon neutral in all direct and indirect emissions (scopes 1 and 2), product transportation, business travel, and employee commuting emissions (our scope 3focus), and to achieve our 100% renewable electricity sourcing goal by the end of 2027.

Further information can be found at www.st.com

Key Responsibilities

1. Equipment Ownership & Performance

• Act as equipment owner for a defined set of CMP tools 
• Monitor OEE and uptime, define and drive actions to improve them.
• Analyze equipment alarms, and chronic issues; implement robust corrective and preventive actions.

2. Maintenance & Troubleshooting

• Define and optimize PM (Preventive Maintenance) plans and spare parts strategy.
• Support technicians in complex troubleshooting: mechanical, electrical, pneumatic, vacuum, robotics and software.
• Escalate and coordinate with equipment vendors (remote and on-site) for advanced technical support.

3. New Equipment Introduction & Upgrades

• Participate in specification, selection, installation and qualification of new CMP tools.
• Lead or support process and equipment release to production, including capability and stability checks.
• Manage equipment upgrades, retrofits, and obsolescence mitigation projects.

4. Process & Quality Support

• Work with process engineers to ensure that equipment performance meets process requirements 
• Support yield, quality, and reliability investigations from an equipment perspective
• Ensure equipment operation complies with quality systems (e.g. IATF 16949, ISO 9001, automotive standards where applicable).

5. Continuous Improvement & Industrial Efficiency

• Analyze data and KPIs; identify bottlenecks and chronic losses.
• Lead or participate in Lean/Six sigma/SMED activities for cycle time, cost, energy, and throughput improvements.
• Drive standardization of settings, PM procedures, troubleshooting guides, and documentation.

6. Safety, Environment & Compliance

• Ensure strict adherence to EHS rules (chemicals, slurry, gases, high voltage, vacuum, cleanroom, LOTO).
• Participate in risk assessments, FMEA, and implementation of safety interlocks and procedures.
• Maintain compliance with environmental and regulatory requirements (e.g. waste handling, emissions).

7. Documentation, Training & Knowledge Management

• Create and maintain equipment documentation: procedures, checklists, work instructions, recovery plans.
• Train and coach maintenance technicians on equipment usage and basic troubleshooting.
• Contribute to knowledge base and share best practices across shifts and sites.

Job Requirements:

• A Bachelor’s Degree in Mechanical, Mechatronics, Electrical & Electronics Engineering, Materials Science Engineering, Chemical Engineering or equivalent.
• Min 5 years of relevant work experience in CMP area, familiar with CMP Equipment (AMAT MirraMesa, Ebara F-REX200, Ontrak, etc.).
• Strong troubleshooting skills and deep technical knowledge.
• Knowledge of SPC, FMEA, 8D methodologies.
• Excellent communication, cross-functional collaboration abilities and written skills.
• Positive learning attitude with strong sense of responsibility.
• Strong ownership, a commitment and flexibility to support operational priorities
• Able to adapt in a fast paced environment and work under pressure.

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.

Responsibilities:

• Provide 1st and 2nd level IT support including desktop related technical assistance via telephone, ticket system, emails and instant chat messaging tool, etc.
• Troubleshooting and resolving single customer issues with Windows
• Supporting Microsoft Office, Exchange, VPN, SharePoint, and User Client Hardware, Mobile devices, user accounts and permissions.
• Using remote administration tools to resolve issues on desktops, laptops, and printers.
• Update policies, procedure, and documentation relevant to project or operation
• Ensure compliance with standards, policies, and processes
• Ensure all Asset and Inventory up to date and accurate in system
• Follow KPI defined by company and team leader

Job requirements:

• A Minimum of 3 years of desk side work experience in large enterprise companies
• A minimum Diploma in computer science or equivalent experience in IT
• Strong knowledge in User & VIP Support and ITIL methodology
• Familiar with Mac and Window OS system
• Able to work under pressure, self-motivated, strong problem solving and analytical skills
• Strong data analytic, communication & interpersonal skills
• MCP and/or Apple Technician (MacOS) certified is advantageous

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlistedcandidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Tech Services Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persoloutsourcing.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Tech Services Pte Ltd
UEN No. 202233837K

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.