Total 276 F&B / Tourism / Hospitality job vacancies

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

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.

Join a dynamic healthcare laboratory environment where you will play a vital role in supporting laboratory operations and ensuring the smooth processing of clinical specimens. This is an excellent opportunity for individuals with a background in biomedical sciences or biotechnology who enjoy working in a detail-oriented and patient-focused setting.

Key Responsibilities

• Support daily laboratory operations under the guidance of laboratory professionals and supervisors
• Assist with specimen collection, processing, and preparation for laboratory testing
• Perform patient registration, documentation, and other administrative duties as required
• Conduct phlebotomy procedures when assigned, ensuring a professional and positive patient experience
• Verify patient information and maintain strict confidentiality in accordance with healthcare standards
• Liaise with healthcare professionals to clarify laboratory requests and ensure accurate specimen processing
• Communicate laboratory information accurately while adhering to established reporting and verification protocols
• Maintain accurate records and ensure compliance with laboratory procedures and quality standards

Requirements

• Diploma in Chemical Process Technology (CPT), Biotechnology, Biomedical Science, or a related discipline
• Strong communication and interpersonal skills
• Meticulous, organized, and comfortable working with data and numerical information
• Proficient in Microsoft Office applications
• Able to thrive in a fast-paced healthcare environment

Interested applicants are invited to submit their updated resume to healthcaretemps@recruitexpress.com.sg with the subject header: Laboratory Operations Assistant

We regret that only shortlisted applicants will be contacted.

Leon Leong De Cong
R1551708
Recruit Express Pte Ltd
EA License No. 99C4599

Field Technician

Salary: $ 2350 - $ 3000 + OT (Depends on Experiences, Can ask higher)

Address: Near Tiong Bahru MRT

Working hours: Monday - Friday / 8.45am to 6pm
                            Alternate Saturday / 8.45am to 1.15pm

Job Requirements

• At least 1 year of relevant experience
• Good knowledge of Cabling installation
• Experience in structure cabling
• Able to assist in Basic IT networking and support
• Possess Singapore Class 3 License 

Job Description

• Product configuration, setup and training
• Able to conduct site survey
• IT knowledge in networking & structure cabling
• On-site installation and commissioning of installed system
• Provide on-site after-sales and project support
• Attend Service call for Faults Clearance
• Attend Ad-hoc and maintenance service support
  

Interested applicants kindly submit through here or send your resume to (joevy_tan@thesupremehr.com) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

Contact +65 9019 3218 for other roles!

Tan Yu Jing Reg No: R26161199

The Supreme HR Advisory Pte Ltd EA No: 14C7279

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.

The Senior Manager (IT) leads the organisation’sIT strategy, infrastructure, cybersecurity, and digital platforms that underpinSOS’s 24/7 lifeline services.

This role is responsible for ensuring the reliability, security, and resilience of mission-critical systems, while strengthening IT governance, service delivery, and operational effectiveness.

The incumbent will play a key role in advancing the organisation’s digital transformation agenda, including the adoption of data, automation, and AI-enabled solutions to enhance service delivery and organisational impact.

This role will also oversee vendor management and lead the IT team to build sustainable and scalable technology capabilities. In addition, the incumbent will provide strategic advisory to senior leadership on technology risks, investments, and innovation priorities.

Duties and Responsibilities:
IT Strategy, Governance & Risk

• Develop and execute the organisation’s IT strategy and multi-year technology roadmap, ensuring alignment with organisational priorities and 24/7 service requirements.
• Lead organisation-wide digital transformation initiatives to enhance service delivery, operational efficiency, and enable data-driven decision-making.
• Establish, implement, and continuously enhance IT governance frameworks, policies, and cybersecurity practices.
• Oversee IT risk management, including cybersecurity risks, and ensure robust Business Continuity Planning (BCP) and Disaster Recovery (DR) capabilities for mission‑critical systems.
• Ensure compliance with relevant regulatory, sectoral, and data protection requirements.
• Engage with the IT Committee to provide updates on IT strategy and key initiatives, seek guidance, and escalate critical risks and developments.

Infrastructure & Operations

• Oversee the organisation’s IT infrastructure, including networks, servers, cloud platforms, virtual environments, and end-user systems.
• Ensure high availability, performance, and reliability of systems supporting 24/7 operations.
• Implement proactive system monitoring, capacity planning, and performance optimisation to ensure system stability and scalability.
• Lead incident management and service recovery processes to minimise disruption and ensure timely restoration of critical services.
• Drive continuous improvement in IT service management and operational processes to enhance efficiency, service quality, and user experience.

Applications & Digital Platforms

• Oversee the governance, administration, and optimisation of key enterprise systems (e.g., CRM, donor management, training management systems, and communication systems).
• Manages system integrations, enhancements, and lifecycle upgrades in collaboration with vendors and internal stakeholders.
• Ensured digital platforms are aligned with operational needs, scalable, and user-centric.
• Drive the adoption of emerging technologies (e.g., automation, AI-enabled tools) to enhance service delivery and organisational effectiveness.

Cybersecurity and Data Protection

• Establish and maintain a robust cybersecurity framework, including access controls, endpoint protection, monitoring, and incident responses.
• Identify, assess, and mitigate cybersecurity and data protection risks to safeguard systems and organisational data.
• Conduct periodic security assessments, vulnerability reviews, and user awareness initiatives.

Project, Vendor & Budget Management

• Lead IT projects end-to-end, ensuring delivery within scope, timeline, budget, and quality expectations, while meeting business and operational needs.
• Manage vendor relationships, including contract negotiation and service level performance.
• Manage the annual IT budget, ensuring cost discipline, and prepare cost‑benefit analyses to support informed technology investment decisions.

Stakeholder Management & Leadership

• Build strong relationships with stakeholders and communicate IT plans, risks, and progress effectively to support informed decision-making.
• Collaborate with internal stakeholders to understand their IT needs and align technology initiatives accordingly.
• Provide regular updates to Management, the IT Committee, and relevant governance bodies on IT strategy, performance, and key developments.

Team Leadership

• Lead, mentor, and develop IT staff, fostering a high-performance, service-oriented culture.
• Promote capability development, knowledge sharing, and continuous improvement to strengthen team performance and effectiveness.

Educational Qualification:

• Degree in Computer Science, Information Technology, or related field
• Relevant professional certifications such as ITIL, CISSP, CISM, PMP, or cloud certifications (e.g. AWS, Azure) would be an advantage

Relevant Experience:

• Minimum 10 years of relevant IT experience, with proven experience in leading IT projects, managing teams, and overseeing enterprise IT environments.
• Preferably with experience in a similar senior IT leadership role
• Experience in digital transformation, data, automation, or AI-enabled solutions

Behaviour Traits & Attitude:

• Strategic thinking and the ability to align technology initiatives with organisational priorities
• Strong problem-solving and analytical capabilities
• Robust governance, risk, and cybersecurity awareness
• Vendor management and commercial acumen
• Stakeholder management and communication skills
• Leadership and team development capabilities
• Ability to operate in a fast-paced, mission-critical 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 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.

Position title : Senior TCB Application & Technical Sales Engineer

Location: Admirax St

Working Days:  5 Day A Week

Working hours : 9:00am - 6:00pm

Salary : SGD 7,000 – SGD 10,000/month (Based on experience and technical capability).

Responsibilities:

• Engage semiconductor customers to understand packaging roadmap, process requirements, throughput targets, yield and reliability challenges.

• Support technical sales activities and customer discussions.

• Benchmark competitor equipment and identify technology gaps.

• Translate customer requirements into internal equipment specifications.

• Develop and optimize TCB process parameters on TCB Equipments.

• Support advanced packaging applications including HBM, CoWoS, CoPoS, 2.5D Packaging, 3D Packaging and Chiplet Integration.

• Troubleshoot bonding issues such as non-wet, misalignment, voids, delamination and warpage.

• Conduct DOE and process characterization activities.

• Work closely with Mechanical, Software, Electrical, Motion and Vision teams.

• Define alignment accuracy, thermal performance, bond force profiles, throughput targets and process windows.

• Lead machine qualification, FAT and SAT activities.

• Act as the internal customer during machine development.

• Support customer buyoff and onsite qualification activities.

Requirements:

• Bachelor’s or Master’s Degree in Materials Science, Mechanical Engineering, Electrical Engineering, Semiconductor Engineering or related fields.

• 5–15 years of semiconductor packaging experience preferred.

• Hands-on experience in TCB, Flip Chip and Advanced Packaging.

• Experience in HBM / CoWoS / 2.5D / 3D packaging.

• Experience in OSAT, IDM or semiconductor equipment environments preferred.

• Experience with fluxless or N2 bonding environment is an advantage.

• Strong understanding of Thermo Compression Bonding (TCB), Flip Chip processes, thermal management, warpage control, alignment systems, vision systems, process qualification, SPC and yield analysis.

• Experience with DOE, statistical analysis tools, failure analysis workflows and semiconductor process characterization.