Total 4,997 network engineer job vacancies in Engineering category in Hong Kong

About the Role

We are looking for exceptional AI Engineers to build the next generation of AI infrastructure and Machine Learning Systems(MLSys).

This role focuses on large-scale system infrastructure rather than model research. You will work on the core foundations that power large-scale AI training and inference systems, including Kubernetes cluster management, RDMA networking, unified KV Cache architecture, observability platforms, distributed systems, GPU orchestration, and CUDA kernel optimisation.

You will collaborate closely with AI researchers, infrastructure architects, networking engineers, and platform teams to maximize the efficiency, scalability, and reliability of AI systems.

Key Responsibilities

AI Infrastructure & Kubernetes

• Design, deploy, and operate large-scale Kubernetes-based AI infrastructure.
• Develop cluster governance frameworks, scheduling policies, resource isolation, and multi-tenancy capabilities.
• Build and optimize GPU orchestration platforms using Kubernetes, Slurm, Volcano, Kueue, Ray, and related technologies.
• Improve cluster utilization, reliability, elasticity, and operational efficiency.

RDMA & High-Performance Networking

• Design and optimize RDMA, InfiniBand, RoCE, and high-speed Ethernet fabrics for distributed AI workloads.
• Optimize GPU-to-GPU and GPU-to-NIC communication paths.
• Improve distributed communication efficiency for large-scale training and inference.
• Analyze and eliminate networking bottlenecks across AI clusters.

Unified KV Cache & Distributed Memory Systems

• Design and implement unified KV Cache architecture across:
• GPU HBM
• CPU Memory
• RDMA-accessible Memory
• NVMe SSD
• Distributed Storage
• Develop efficient KV Cache sharing, migration, offloading, and scheduling mechanisms.
• Optimize latency and throughput for large-scale inference systems.

CUDA & System Performance Optimisation

• Develop and optimize CUDA kernels for training and inference workloads.
• Profile and optimize GPU compute, memory, communication, and scheduling efficiency.
• Contribute to low-level optimization of AI frameworks and inference engines.
• Work on technologies such as FlashAttention, TensorRT, Triton, NCCL, CUTLASS, and custom operators.

Observability & Reliability

• Build end-to-end observability platforms for AI infrastructure.
• Design monitoring, logging, tracing, alerting, and troubleshooting frameworks.
• Develop performance dashboards and SLO-driven operational systems.
• Improve maintainability, debuggability, and operational excellence of AI platforms.

Automation & Platform Engineering

• Build automation tools for deployment, provisioning, monitoring, and operations.
• Develop Infrastructure-as-Code (IaC) solutions using Terraform, Ansible, and related tools.
• Build CI/CD pipelines and engineering productivity platforms.
• Improve platform scalability and operational efficiency.

Required Qualifications

Education

• Bachelor's degree or above in Computer Science, Software Engineering, Electrical Engineering, or related fields.

Technical Skills

• Strong software engineering and programming skills.
• Excellent system design capability and strong engineering craftsmanship.
• Strong coding standards and code quality awareness.
• Strong sense of ownership, accountability, and execution.

System Fundamentals

Strong understanding of:

• Operating Systems
• Computer Networks
• Distributed Systems
• Data Structures and Algorithms
• Linux Internals

Programming Languages

Proficiency in one or more of:

• C++
• Go
• Python
• Rust

AI Infrastructure Experience

Hands-on experience in one or more of:

• Kubernetes
• GPU Infrastructure
• Distributed Systems
• AI Infrastructure
• HPC (High Performance Computing)
• Cloud-Native Platforms

Networking Experience

Experience with:

• RDMA
• InfiniBand
• RoCE/RoCEv2
• GPUDirect
• NCCL
• UCX
• High-Speed Ethernet

GPU & Performance Engineering

Experience with:

• CUDA
• GPU Performance Optimization
• Multi-GPU Systems
• Distributed Training
• Distributed Inference

Preferred Qualifications

• Experience building large-scale AI training or inference clusters.
• Experience with vLLM, SGLang, TensorRT-LLM, Triton, DeepSpeed, Megatron-LM, Ray, or similar frameworks.
• Experience with unified KV Cache systems, memory hierarchy optimisation, or distributed storage systems.
• Experience with Kubernetes GPU Operator and NVIDIA NetworkOperator.
• Experience with Prometheus, Grafana, Loki, OpenTelemetry, and observability platforms.
• Experience contributing to open-source projects such as: vLLM, FlashAttention, CUTLASS, TVM, MLIR, Triton, Kubernetes, NCCL
• Experience working across AI Infrastructure, HPC, Networking, and Silicon Systems is highly desirable.

We are seeking a highly motivated and hands-on AI Engineer /Agentic AI Builder to drive the development, implementation, and optimization of autonomous, agentic AI workflows across our Testing, Inspection, and Certification (TIC) operations. In this role, you will be a core builder—leveraging Large Language Models (LLMs), workflow automation, and modern AI APIs. Design and deploy Agentic AI systems capable of executing complex, multi-step tasks to improve internal efficiency and enhance our standard operating procedures (SOPs).

This role is ideal for a builder who loves setting up autonomous AI agents, connecting them via modern APIs to real-world business tools, and deploying systems that drastically reduce manual operational bottlenecks.

Key Responsibilities:

• Agentic AI Setup & Orchestration: Design, build, and deploy single and multi-agent systems that utilize autonomous reasoning, tool-calling (function calling), and memory to complete complex workflows with minimal human supervision.
• Process Automation & Tool Integration: Identify opportunities to automate manual text- and data-heavy workflows within our testing, lab, and inspection operations (e.g., parsing compliance standards, synthesizing lab results, and auto-generating draft inspection reports).
• Hands-on Coding & API Deployment: Write, test, and deploy clean production-grade Python code to integrate AI agents with internal data sources and third-party APIs.
• Evaluation& HITL Integration: Implement Human-in-the-Loop (HITL) review mechanisms into agent workflows to ensure high-stakes data is verified by human experts before final execution.
• Prompt &Context Engineering: Fine-tune system prompts, establish agent guardrails, and implement robust context management to minimize AI hallucinations and ensure data security.
• Operational Collaboration: Work closely with laboratory technicians, inspectors, and operations managers to map out their manual SOPs and translate them into automated agent workflows.
• User Adoption & Enablement: Help drive the adoption of new AI tools by creating simple documentation, gathering feedback from end-users, and measuring how much time the tools save.
  

Qualifications:

Minimum Requirements:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical discipline (or equivalent practical experience/portfolio of built AI projects).
• Experience: at least 3 years of hands-on experience in software engineering, python programming, or AI prototype development.
• Agentic AI& LLM Familiarity: Practical experience setting up AI tools, writing effective system prompts, and utilizing LLM APIs (OpenAI, Anthropic, etc.) for tool-calling or multi-step execution.
• Programming Skills: Strong fundamental programming skills in Python, with experience using collaborative software workflows (e.g., Git).
• Problem-Solving Mindset: Ability to break down complex, manual human procedures into clear logical rules and steps that an AI agent can execute.

Preferred (not required but would be an advantage to have):

• Agentic Frameworks: Hands-on experience with modern agent orchestration frameworks or graph-based tools (e.g., LangGraph, CrewAI, AutoGen, or flow builders like Flowise/Langflow).
• Information Retrieval: Exposure to Retrieval-Augmented Generation (RAG) architectures and vector databases.
• Document Processing: Experience using OCR and AI tools to convert unstructured laboratory PDFs, images, and inspection logs into structured data for agent ingestion.
• TIC Industry Exposure: A basic understanding of or interest in lab workflows, ISO standards, or regulatory compliance

Responsibilities

• Provide technical support and effective site coordination, ensuring timely resolution of project and installation issues.

• Apply sound engineering knowledge, design expertise, and understanding of relevant building services codes and standards to support project execution.

• Ensure materials and installation works carried out by suppliers and subcontractors comply with project specifications and quality management requirements.

• Coordinate, monitor, and inspect supplier deliveries, equipment, and subcontractor works to maintain quality standards.

• Prepare and review shop drawings, coordinated drawings, and related technical documentation.

• Develop work schedules and participate in client, consultant, and internal project meetings.

• Support the Project Manager in managing daily project activities, including planning, quality assurance, safety compliance, and project progress monitoring.

• Liaise closely with the main contractor and project stakeholders to ensure smooth execution and minimize rework.

• Monitor and control site materials and equipment usage to reduce wastage and optimize resources.

• Maintain close communication with suppliers and subcontractors to ensure timely deliveries and avoid delays impacting project schedules.

• Conduct inspections to identify and rectify non-conforming materials, products, or installations, preventing defects and quality issues.

• Evaluate and implement innovative technologies and installation methodologies to enhance productivity and operational efficiency.

• Track site progress closely and provide clear direction and communication to subcontractors and suppliers.

• Perform any other duties and responsibilities as assigned. 

  Working days: 5 days working, 8:00 to 4:45 (Based on Project) 

For interested applicants, kindly send your resume in Word/PDF format to include the following in your resume including:

1. Current Salary

2. Expected Salary

3. Availability

4. Reason for leaving

Thank you for your application and we regret that only shortlisted applicants will be notified

By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers with the services provided by us.

NGUYEN THI DOAN | R23116355

RRecruiter Pte. Ltd. | 18C9514 

5 days working

8:00 to 4:45 (Based on Project) 

• Provide effective site coordination and technical problem-solving support to clients and project stakeholders.

• Apply engineering expertise in design, building services systems, and relevant codes of practice to ensure project requirements are met.

• Ensure materials and installation works performed by suppliers and subcontractors comply with quality standards and ISO procedures.

• Monitor and coordinate material deliveries, equipment, and subcontractor activities to maintain installation quality and project schedules.

• Prepare shop drawings, coordinated drawings, and other technical documentation required for project execution.

• Develop work schedules and participate in client, consultant, and internal project meetings.

• Assist the Project Manager in overseeing daily project operations, including planning, quality control, safety compliance, and progress monitoring.

• Liaise closely with the main contractor and project teams to ensure smooth coordination and minimize rework.

• Manage site materials and equipment efficiently to reduce wastage and optimize resource utilization.

• Maintain close communication with suppliers and subcontractors to ensure timely deliveries and prevent project delays.

• Conduct inspections to identify and rectify non-conforming materials or installations, ensuring compliance with project specifications.

• Evaluate and implement new technologies and installation methods to enhance productivity and operational efficiency.

• Monitor site progress closely and provide clear guidance to suppliers and subcontractors to ensure timely completion of works.

• Perform other duties and responsibilities as assigned.

For interested applicants, kindly send your resume in Word/PDF format to include the following in your resume including:

1. Current Salary

2. Expected Salary

3. Availability

4. Reason for leaving

Thank you for your application and we regret that only shortlisted applicants will be notified

By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers with the services provided by us.

NGUYEN THI DOAN | R23116355

RRecruiter Pte. Ltd. | 18C9514 

Main Responsibilities: 

• Configure and support MES workflows within PharmaSuite / Catalyst
• Support electronic batch record (EBR) design and execution
• Work closely with operations, QA, and IT teams for system integration
• Perform testing, validation, and troubleshooting of MES workflows
• Support change control, system upgrades, and hypercare activities

Requirements: 

• At least 4 years of experience in MES within pharma manufacturing
• Hands-on experience with PharmaSuite / Catalyst systems
• Strong understanding of GMP, ISA-95, and batch processes
• Exposure to system interfaces (ERP / DeltaV / PLC) and validation lifecycle

Contract Duration: 12 months with options to renew based on performance

Responsibilities

• Responsible for providing production and engineering support to all backend equipment-related activities
• Set up conversions of backend equipment for production utilization
• Perform timely set-up, repairs and maintenance of backend equipment such as laser mark, vision scanner and Tape & Reel platform
• Troubleshoot equipment-related issues and minimize equipment downtime
• Perform routine equipment preventive maintenance / calibration on timely basis
• Assist in implementing equipment improvement projects

Requirements

• Diploma in Mechanical / Electrical Engineering or equivalent
• Preferably with minimum 1 year relevant experience in semiconductor industry
• Knowledge of basic equipment troubleshooting
• Good communications and analytical problem solving skills
• Entry level candidates are welcome to apply

• MNC Company
• Basic $3500 - $4000 + Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Lorong Chuan
• Working hours: Monday to Friday (8.45am to 5.45pm)

Job Responsibilities:

• Handles end user requests for hardware and software for supported clients.
• Troubleshoots technical issues and provides user support through timely problem ticket resolution
• Updates, tracks, and maintains assigned support tickets
• Escalates incidents and service requests as appropriate to ensure timely resolution
• Maintains site documentation and maintenance records
• Provides IT infrastructure support for warehouse and logistic projects
• Contributes to desktop and laptop software upgrades and refresh initiatives
• Work with third party vendors to resolve hardware and software issues.
• Performs other duties as assigned.

Job Requirements:

• Possess minimum Bachelor's Degree in IT / Computer Science or equivalent with 1-3 years of relevant experience.
• Experience in Azure cloud services, Intune device management, and Microsoft Copilot adoption is an advantage.

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job description

Work directly with the technical director to develop electrical and electronic systems for inspection tools and other products

Design, build and test electrical, electronics, sensors and other systems for performance

Analyse designs and prototypes, to account for tolerance, precision, to meet specification requirements.

Work with other team members to integrate electronic designs onto practical systems with optical and mechanical systems.

Requirements

Master’s/PhD in electronic engineering or related disciplines with relevant experience in programming, EDA, FPGA, etc.

Ability to use commercial softwares to design and optimise electronic systems, ensuring that designs work according to specifications

Strong fundamental knowledge in electronics and relevant technologies such as optical sensors. Knowledge in other relevant disciplines such as physics, chemistry, material science etc. is a plus.

Capable and willing to design, build and test complex electronic setups from proof of concept to implementation on products.

Must have experience in setting up, troubleshooting and optimising electronic systems.

Must be an exceptional team player, willing to go the extra mile for high performing teams.

Must have adaptability to solve difficult problems with like minded team members.

At least 2 years of relevant working experience

Your Role
Probe Card Engineer responsible for probe card design, maintenance, troubleshooting, traceability, and continuous improvement initiatives. The role also includes supporting projects, maintaining documentation, ensuring workplace housekeeping, training new hires, and upholding safety and security compliance.

Experience

• Minimum of 2 years of relevant experience
• Hands-on experience in probe card maintenance and repair
• Experience with both offline and online cleaning processes
• Experience in measuring and monitoring probe card wear and lifespan
• Familiarity with production readiness activities and vendor coordination
• Experience working in a semiconductor manufacturing or cleanroom environment in a technical support role

Skills & Requirements

• Bachelor’s degree in Electronics, Electrical, Mechatronic, or Mechanical Engineering
• Proficiency in probe card design, inspection, repair, and troubleshooting
• Ability to operate PRVX analyzers, high-vision microscopes, and related equipment
• Strong understanding of circuit schematic diagrams
• Effective communication and cross-functional coordination skills
• Leadership, mentoring, and teamwork capabilities
• Strong documentation, traceability, and 5S discipline
• Problem-solving mindset with a focus on continuous improvement

Job Summary

The Senior Engineer (CSA – Civil/Structural/Architectural) will oversee technical aspects of the construction project, ensuring quality, compliance, and efficient execution. The role involves coordinating with design teams, supervising site works, and supporting project management in decision-making, planning, and problem resolution

Key Responsibilities

• Review and interpret design drawings, specifications, and construction documentation.
• Coordinate with architects, structural and MEP engineers, and consultants to resolve design and technical issues.
• Supervise and monitor site activities to ensure compliance with project specifications, quality standards, and safety requirements.
• Assist in construction sequencing, method statements, and temporary works planning.
• Conduct site inspections, quality audits, and progress monitoring; report findings to management.
• Support cost control by reviewing material usage, workmanship, and variation claims.
• Mentor and guide junior engineers and site staff to ensure smooth project execution.
• Attend project meetings and provide technical inputs for problem-solving and decision-making.

Qualifications & Experience

• Bachelor’s degree in Civil Engineering, Structural Engineering, or Architecture.
• Minimum 5–8 years of experience in construction projects (high-rise, infrastructure, or industrial projects preferred).
• Strong knowledge of construction methods, materials, and codes/regulations.
• Proficient in AutoCAD, MS Office.
• Excellent analytical, organizational, and problem-solving skills.
• Strong communication, leadership, and team collaboration abilities.

Experience:

• 4–8 years in automation, DevOps, cloud infrastructure, or security platform engineering
• Professional experience delivering and supporting production systems
• Built CI/CD pipelines, cloud infrastructure, workflows, or platform integrations (work or strong portfolio)
• Can deliver assigned work with guidance; escalates design decisions
• Strong experience owning production platforms and integrations end to end
• Several years building and running production CI/CD, cloud infrastructure, or workflow automation (not ad hoc scripts only)
• Experience mentoring engineers and leading technical work over multiple quarters

Technical skills:

• Hands-on with at least one major cloud (AWS, Azure, or GCP). Multi-cloud is a plus.
• Terraform, CloudFormation, Pulumi, or similar — standards, review, and ownership
• Kubernetes or cloud-native runtimes (e.g. Cloud Run, managed container services)
• Built or led pipeline design for GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar
• REST, GraphQL, gRPC, or WebSockets; API design and integration
• Automation platforms, orchestration, or SOAR playbooks
• Prometheus, Grafana, ELK, cloud monitoring, OpenTelemetry, or similar
• SOAR playbooks, orchestration platforms, or enterprise workflow systems
• Familiar with SIEM, SOAR, and SOC workflow systems, or threat intelligence platforms
• Strong Python, Golang, Node.js, or similar for services and automation; scripting (Bash, PowerShell)
• Message queues and pub/sub (Kafka, RabbitMQ, cloud pub/sub, etc.)
• Cloud warehouses, PostgreSQL, Redis, or similar Logging/tracing/metrics, secure coding, release governance

Desirable Skills (Added Advantage):

• Enterprise SIEM, SOAR, SecOps, or threat intelligence platforms.
• Low-code workflow tools (OutSystems, Mendix, Power Apps, ServiceNow, or similar).
• Full-stack development for operator tools and portals.
• BI dashboards or data visualisation.
• Cloud AI/ML and LLM-based workflows.

Education:

Degree in Computer Science, Computer or Electronics Engineering, Information Technology, or a related discipline.

By proceeding with the job application, you are deemed to have read and acknowledged our https://www.totalebizsolutions.com/job-applicant-privacy-policy/ and consented to us using the personal data you shared for the purpose stated in the said policy.

Key Responsibilities

• Develop and implement QAQC procedures.
• Conduct site inspections and quality audits.
• Ensure works comply with approved drawings and specifications.
• Prepare inspection reports and quality records.
• Coordinate with consultants, clients, and subcontractors.
• Manage Non-Conformance Reports (NCR) and corrective actions.
• Attend site meetings and quality reviews.
• Monitor testing and commissioning activities.

Experience

• Minimum 2–5 years of QAQC experience in construction projects
• Experience in: Building construction, M&E works, Infrastructure projects, Quality inspections and testing. Managing subcontractors and site quality issues

- IT support for end users on multiple sites

- Provide Technical support for all end users devices such as laptops, desktops, mobile devices printers, and approved software

- Facilitate and provide technical / event support for the classroom, Lab, meeting room and other areas that have Audio Visual System.

- To oversee the day-to-day teaching facility operations, which include loan of portable devices, accessory and supplying of consumable items such as battery for wireless mic.

Job Requirements: 

- At least a Higher NITEC or Diploma in IT / Audio Visual related disciplines or equivalent;

- At least 1 years of relevant IT support experience

- Must have relevant technical IT expertise and skills.

- Must have good customer service attitude and skills.

- Must be comfortable with Roaming different customer sites islandwide (Main location - Clementi)

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

• Responsible for the implementation, testing, optimisationand virtualisation of cloud infrastructure across on-premise, cloud and networkinfrastructure.

• Performs activities pertaining to cloud infrastructuredeployment and performance to ensure delivery of cloud infrastructure solutionsin alignment with service standards.

• Perform OS and database hardening according to theAuthority’s hardening guide

• Provision of new workload in a Cloud platform

• Integration of new workload to existing Common Services(eg backup, monitoring, etc)

• Integration of new workload to AD, DNS and DHCP

• Work with different OEM/Vendor/subcontractor forimplementation and integration

• Experience in Terraform will be an added advantage

Qualifications

• Degree/Diploma in Computer Science, Computer Engineering or equivalent, although consideration will be given to experience and certifications in lieu of degree.

• Minimum 2 to 4 years IT experience.

• Minimum 3 years of experience working as a System engineer within the operations environment.

• Past working experience in Cloud environment is an advantage.

• Excellent scheduling and multitasking skills

• Meticulous and process-oriented.

• Good, hard-working attitude with ability to work wel lunder pressure.

• Good communication skills English (written, spoken).

• Good analytical skills with ability to work with others to resolve problems.

• Good organization skills, with ability to properly document and track information.

• Dynamic, customer oriented, experience working in a fast-paced environment.

Skills

Proficiency in one or more cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI). Strong knowledge of cloud services, features, and capabilities.

We are seeking a Mainframe Backup Operations Engineer to support enterprise backup, recovery, and tape management operations within a large-scale mainframe environment. The role is responsible for ensuring the integrity, availability, and recoverability of business-critical data through effective backup administration and operational support.

Key Responsibilities

• Monitor and administer daily mainframe backup operations, ensuring successful completion of scheduled backup and recovery activities.

• Manage tape inventory and lifecycle processes using CA 1 Tape Management System, including tape allocation, retention, and archival controls.

• Execute backup and restore procedures using ADRDSSU and related mainframe utilities.

• Investigate backup job failures, perform root cause analysis, and implement corrective actions to minimize operational disruptions.

• Review backup reports, logs, and operational metrics to ensure compliance with service level requirements.

• Support disaster recovery testing and validation activities to verify backup recoverability and system resilience.

• Maintain backup and recovery documentation, operational procedures, and technical runbooks.

• Participate in incident, problem, and change management activities in accordance with established IT service management processes.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related discipline.

• Minimum 5 years of experience in mainframe backup operations and administration.

• Hands-on experience with CA 1 Tape Management System, tape operations, and tape lifecycle management.

• Working knowledge of ADRDSSU, FlashCopy, backup recovery procedures, and storage management concepts.

• Familiarity with disaster recovery processes, resiliency planning, and backup validation activities.

• Strong troubleshooting, analytical, and problem-solving skills.

• Ability to support production operations and participate in after-hours support when required.