Total 2,194 Senior Executive qa engineer job vacancies in Hong Kong

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

About

Liquid Group is a FinTech payments services group based in Singapore. Liquid empowers and connects businesses and individuals to make transactions in a smart, secure and cost-effective way, anywhere in the world.

We operate a regional payment network to enable cross-border QR payment services for e-wallet operators, banks, and merchants. We also provide white-label solutions to accelerate the development and adoption of mobile payments for our business partners.

We work in a collaborative and adaptive way, exploring innovative ideas and solving challenging problems to develop our products. Together, we ensure efficiency, security, and convenience for our partners and customers.

Website: www.liquidgroup.sg

Own the product acceptance layer of our AI-first SDLC: translate business requirements into crisp acceptance criteria, design the acceptance test strategy, automate high-value scenarios (using company-approved AI tools), and present objective release-readiness recommendations to the Product Committee (acting as CAB). The role balances technical BA rigor with QA depth, ensuring each release is secure, compliant, auditable, and aligned to business value.

Key responsibilities

Requirements & acceptance criteria

• Analyze business requirements and PRDs to create unambiguous acceptance criteria (e.g., BDD-style Given/When/Then) and clear non-functional requirements (security, performance, compliance).
• Maintain end-to-end traceability from requirement → test → evidence → approval in ticketing/VCS systems.

Test strategy & planning

• Create a product acceptance test strategy covering integration, UAT, happy paths, edge cases, and negative/fraud scenarios; align with security/testing outputs (SAST/DAST/vulnerability scans).
• Define test plans and test data needs; ensure no production/cardholder data is used in AI tools.

Automation with approved AI tools

• Use company-approved AI tools (e.g., ChatGPT Business, Cursor, Lovable) to generate automated acceptance test suites and scaffolds from defined criteria & business scenarios—always with human review/peer review and proper evidence capture.

Execution & reporting

• Execute acceptance suites across environments; triage defects with Dev, Sec, and DevOps; confirm fixes meet criteria.
• Produce Acceptance Test Reports (metrics, pass/fail per criterion, known issues, residual risks, security findings, evidence links) and present to the Product Committee with a clear go/no-go recommendation for production readiness.

Compliance, security & auditability

• Ensure artifacts and approvals (business, technical, security, compliance) are recorded; support audits with explainable evidence. Retain evidence per policy.
• Proactively identify/flag AI-related risks (fairness/bias, explainability), data protection issues, and separation-of-duties breaches.

Key Requirements

• 4+ years experience in Technical Business Analysis or Product QA / Testing
• Deep understanding of product workflows, system requirements, and user journeys
• Hands-on experience in:
• Functional and UAT testing
• Test planning & execution
• Writing test cases and acceptance criteria
• Regression & API testing
• Comfort working with automation or AI-assisted testing tools (experience piloting or adopting AI tools a strong plus)
• Experience with FinTech, payments, banking, or transactional systems preferred
• Strong analytical skills with ability to break down complex workflows
• Effective communicator with cross-functional teams

• Seniority Level

  Mid-Senior level

• Industry

  • Financial Services

• Employment Type

  Full-time

• Job Functions

  • Quality Assurance

• Skills

  • Analytical Skills
  • Quality Assurance
  • Test Planning
  • Strategy
  • Business
  • Test Strategy
  • Business Analysis
  • System Requirements
  • Artificial Intelligence (AI)
  • Business Requirements

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.

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring for Systems Engineer (Full Stack).

You will work in Singapore Government Agencies.

This is a fixed term contract. The engagement is 8-month

Internal Code: A26193

What will you do?

We are seeking a Systems Engineer (Full Stack) with strong foundations in cloud infrastructure, DevOps, and system integration, complemented by hands-on expertise in full stack engineering and scalable platform development.

As you will be working on a full stack engineering role focused on building and operatingAPIs and microservices, core competencies such as cloud platforms, DevOps practices, and backend/frontend engineering are mandatory foundations.

Operating at the intersection of full stack development, cloud infrastructure, and platform engineering, this role drives the design, delivery, and operation of scalable backend services and APIs for Singapore’s Land Transport Authority, ensuring solutions are built with engineering rigor, tested thoroughly, and operated with production reliability.

Full Stack Development & Delivery

• Design and build RESTful and event-driven APIs, microservices, and backend platforms using ECMAScript (TypeScript/JavaScript), Go, and Python
• Implement CI/CD pipelines for automated testing, build, and deployment of services on AWS
• Deploy and operate containerised services on Kubernetes (EKS); manage service configuration, health checks, and rolling deployments
• Translate stakeholder needs into well-defined API contracts, data models, and system requirements with full traceability
• Integrate backend services with LTA’s existing infrastructure, databases, message queues, and third-party APIs ensuring seamless interoperability
• Write clean, well-tested, production-grade code with thorough unit and integration test coverage
• Automate data pipelines and workflow orchestration using AWS services and Infrastructure as Code
• Foster cross-functional collaboration among product managers, designers, security teams, and operations staff

Production Implementation & Operations

• Deploy and operate production-ready microservices and platform APIs at scale across LTA infrastructure on AWS
• Build and manage Kubernetes workloads with containerisation, monitoring, and automated health checks
• Implement comprehensive monitoring, logging, and alerting for production backend services
• Integrate platform services with LTA’s APIs, databases, message queues, and network systems
• Optimise system performance, API response times, and throughput to meet latency and scalability requirements
• Participate in architecture and design discussions, contributing to platform scalability and service design decisions
• Implement security, compliance, and data governance including PDPA compliance, encryption, and access controls

System Integration & Maintenance

• Maintain and troubleshoot deployed infrastructure with systematic debugging and root cause analysis
• Monitor system health, implement automated remediation, and respond to production incidents
• Manage service versioning and release pipelines ensuring reproducibility and rollback capabilities
• Provide technical support for infrastructure, networking, and backend service performance issues
• Collaborate with operations teams ensuring reliability, uptime SLAs, and operational excellence

What are we looking for?

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field (required)

• Master’s degree in Computer Science, Software Engineering, or related field (preferred)
• AWS certifications: Solutions Architect Associate/Professional, Developer Associate, DevOps Engineer Professional
• Kubernetes certifications: CKA, CKAD
• HashiCorp Terraform Associate or equivalent IaC certification
• Other relevant technical certifications
• Core Full Stack Engineering (Required)
• Cloud Platforms: AWS infrastructure and services including EC2, S3, Lambda, VPC, IAM, CloudWatch, ECS/EKS; cloud architecture for compute, storage, networking, and security
• DevOps & Automation: Git version control, CI/CD pipelines, Infrastructure as Code, Docker containerization, Kubernetes orchestration, automated testing and deployment strategies
• Systems Integration: RESTful API design and development, data pipelines and ETL processes, database integration, networking fundamentals, distributed systems and microservices
• Programming: ECMAScript/TypeScript (required), Go (required), Python (required); production-grade practices including automated testing, structured logging, and API documentation
• Platform & Full Stack (Preferred)
• Frontend: React or similar modern frontend framework; responsive design; REST/GraphQL API consumption; basic UI/UX sensibility
• Kubernetes & Platform: Kubernetes workload management (preferred); Helm charts; service mesh concepts; AWS EKS; infrastructure provisioning with Terraform or CDK
• Observability & Quality: Structured logging, distributed tracing, metrics dashboards (CloudWatch, Datadog, or similar); test pyramid understanding; code review practices
• Application Domains
• Backend API and microservices platform development for public-facing and internal-facing LTA systems
• Cloud-native service integration with AWS-hosted infrastructure and government platforms

• Experience with transportation, smart city, or public sector digital services is a strong plus
• Strong systems-thinking mindset to decompose complex problems into modular solutions
• Excellent communication and stakeholder management translating technical concepts to non-technical audiences
• Ability to balance technical depth with production delivery and operational reliability
• Proactive, collaborative, and adaptable in fast-evolving technical environments
• Documentation expertise: technical documentation, architecture diagrams, runbooks, API documentation
• Mentoring and knowledge transfer capabilities
• Agile/project management experience
• 2–4 years hands-on experience as a full stack or backend engineer building production services with ECMAScript/TypeScript, Go, or Python on cloud platforms
• Proven track record shipping and operating production APIs and services on AWS with reliability, monitoring, and incident response
• Strong foundation in API design, microservices architecture, databases, and distributed systems
• Demonstrated experience delivering full stack features end-to-end from API design through deployment and monitoring
• Kubernetes experience (CKA/CKAD certified or equivalent practical experience) is highly valued
• Contributions to open-source projects or portfolio of shipped software products is a plus
• Government or public sector project experience with compliance requirements advantageous
• Portfolio or GitHub demonstrating shipped software — APIs, services, or full stack applications
• Ability to work with non-technical stakeholders and translate complex technical concepts clearly
• Understanding of data privacy, security, and compliance in government contexts
• Problem-solving mindset with ability to work independently and in cross-functional teams
• On-call availability for production infrastructure support on rotation basis
• Ability to respond to incidents with systematic troubleshooting under pressure

Work Arrangement

• Hybrid work model: 3 days onsite at LTA per week, 2 days remote work
• Flexibility required: Must be available onsite on remote days if meetings or operational needs arise
• Location: Land Transport Authority offices, Singapore; occasional visits to GovTech HQ
• Collaboration: Regular interaction with LTA stakeholders, operations teams, and cross-functional project teams

This is a contract position (half a year) with GovTech Singapore, deployed to the Land Transport Authority. We are committed to building an inclusive and diverse workplace that reflects the Singapore we serve.

What do we offer in return?

Competitive Compensation: Market competitive salary and variable performance bonus aligned to your skills, impact, and contribution. 

Benefits: Outpatient medical, specialist medical coverage and generous customisable flexi benefits, or flexi allowance; life and health insurance, thoughtful perks like special occasions “red packet” and CNY goodies, etc. 

Employee Wellness: Support for your physical, mental, and overall well-being through year-round initiatives. 

Growth & Development: Learning programmes, certification support, and a dedicated staff development budget. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”) 

Career Progression: Structured career pathways that enable you to grow along a technical/domain expert track or a leadership track. 

Competency Framework: A structured and practical framework to support you to develop, perform, and succeed. 

Flexible Work Arrangement: Staff may choose to work flexi-place, flexi-time, and flexi-load based on existing framework 

Why you'll love working with us? 

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success. 

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law. 

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd. 

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes. 

Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data. 

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Description :

• Under general supervision, applies functional specifications and uses engineering tools to design hardware for product changes and new development.
• Independently processes data, writes engineering reports, and conducts diagnosis of routine hardware malfunctions.
• Contributes in reliability analysis such as risk assessments and Failure Mode Effects Analysis by compiling and examining data.
• Identifies the testing requirement at a system level with the emphasis on complying with test standards and Halliburton's Health, Safety, and Environment procedures.
• Contributes to Halliburton's Intellectual Property portfolio by preparing Invention Disclosures and recognizing ideas that have Intellectual Property potential without disclosing confidential information.
• Coordinates with project leads to produce project deliverables by assessing input requirements and applying functional specifications.
• Develops relationships through excellent communication skills and acts as a key resource to provide innovative solutions.
• May participate in professional societies in area of specialization.

Requirement:

Requires completion of a bachelor's degree in Mechanical Engineering or similar discipline; master's degree preferred.

Requires two years of related experience (requirement may be waived with master's degree).

Join Micron as a Senior Process Development Engineer, Dry Etch, NAND, and join a passionate team advancing next-generation NAND process technologies. You will collaborate with proficient professionals, develop inventive process, and assist us in achieving seamless delivery on our demanding projects.

Responsibilities: 

• Rapid deployment of new NAND process technologies.

• Drive development efforts prior to device ramp

• Define and complete effective actions to enable solutions required to hit key achievements and achieve the required performance within timelines

• Complex process development tasks related to ongoing evaluation of Dry Etch tool performance, examination of Dry Etch process windows, and adjustments or refinement of Dry Etch recipes within 3D NAND technology

• Troubleshoot processes as part of cross-functional teams, driving yield and quality improvement.

• Take initiative to identify and own areas for improvement, collaborating with other Fabs and TD teams.

• Proactively identify exciting processes and work with Fabs to find viable solutions

• Drive process simplification initiative across cross-functional teams.

• Integrate best-known manufacturing methods into the early development phase of upcoming nodes

• Using, applying, and leveraging AI, identify opportunities to streamline workflows, optimize processes, and support innovation by incorporating AI-driven solutions and enabling data-driven decision-making across projects and teams

Successful candidates for this position will have: 

• PhD degree in Material Science, Physics, Chemistry, Electrical/Electronics Engineering, or Bachelors/Masters in Material Science, Physics, Chemistry, Electrical/Electronics Engineering with minimum of 3 years of semiconductor dry etch process development background

• Proven track record of strong publication, patent, or invention disclosure.

• Strong interest in technology development and crafting production-worthy technologies

• Ability to build and maintain relationships with cross-functional teams and vendors

• Excellent communication skills (written, verbal, and presentation).

• Proficiency in statistics, data analysis, Design of Experiments (DOE), and comfort with analysis software tools.

• Ability to work in a fast-paced and dynamic environment