Director/Senior Manager of AI Infrastructure (REF#DAISM20260921)

Hong Kong Cyberport Management Co Ltd

Hong Kong

In loco

HKD 600.000 - 1.100.000

Tempo pieno

14 giorni+

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Competitive compensation package

Descrizione del lavoro

Hong Kong Cyberport Management Co Ltd is seeking a Director/Senior Manager of AI Infrastructure to provide strategic leadership for Cyberport's AI infrastructure and supercomputing platforms. You will drive CPU/GPU cluster delivery and optimise high‑performance networking, storage and AI platforms while ensuring security, resilience and scalable operations.

You will collaborate with vendors, cloud services and data centres, manage outsourcing arrangements and guide investments in emerging AI

Competenze

12–15 years in IT/AI infrastructure, HPC, GPU computing or cloud platforms with leadership experience.
Experience with vendors, outsourcing, service delivery governance and risk management.
Solid knowledge of CPU/GPU cluster management, AI software stack and MLOps.

Mansioni

Provide strategic leadership for AI infrastructure architecture, governance and operations.
Lead delivery and optimisation of CPU/GPU clusters, networking, storage and AI platform tech.
Develop and maintain policies, standards and service management practices.
Collaborate with vendors, data centres and cloud providers for service delivery.
Manage outsourcing services, SLAs, risk and continuous service improvement.
Evaluate emerging AI infrastructure technologies and deployment platforms.
Guide users and internal teams on onboarding, usage optimisation and troubleshooting.
Prepare management reports, dashboards and improvement plans.

Conoscenze

CPU/GPU cluster management

Kubernetes

AI infrastructure

High‑performance computing

Cloud infrastructure

Workload scheduling

Python

C++

Networking

Formazione

Bachelor’s degree in Computer Engineering/CS/ICT/AI/Data Science/Software Engineering/Electronic Engineering

Postgraduate degree or AI infra/cloud/HCPCS/Security certification

Strumenti

Kubernetes

Container platforms

Workflow schedulers

GPU platforms

AI platforms

Descrizione del lavoro

Director/Senior Manager of AI Infrastructure (REF#DAISM20260921)

Provide strategic leadership for the architecture, governance, operation and evolution of Cyberport's AI infrastructure and supercomputing platforms.

Lead the delivery and optimisation of CPU/GPU computing clusters, high-performance networking, storage and AI platform technologies, while driving availability, performance, security, resilience and scalability to support current and future AI innovation initiatives.

Develop and maintain technical policies, standards, procedures and service management practices for Cyberport’s AI infrastructure and supercomputing platforms, ensuring secure, reliable and resilient operations and services.

Collaborate with hardware vendors, software providers, cloud service providers, data centre operators and managed service partners to ensure high-quality service delivery, platform performance, capacity planning and lifecycle management.

Manage infrastructure outsourcing services and related contractual arrangements, including service-level performance, compliance, risk management, quality assurance and continuous service improvement.

Evaluate emerging AI infrastructure technologies, including GPU platforms, high-performance network fabrics, storage architecture, container platforms, workload schedulers, model deployment platforms and inference infrastructure.

Work closely with subject matter experts, research users, enterprise customers, ecosystem partners and internal stakeholders to understand AI, LLM, generative AI and data-intensive workload requirements.

Provide technical guidance and support to users and internal teams on effective and secure use of AI supercomputing systems, including platform onboarding, usage optimisation and troubleshooting.

Support infrastructure risk assessments, control reviews, compliance assessments and remediation activities to ensure the security, availability and resilience of AI supercomputing services.

Monitor and analyse infrastructure events, alerts, capacity trends and service performance indicators, and coordinate timely response to infrastructure incidents, risks and service issues.

Prepare management reports, service dashboards, key metrics and improvement plans covering platform availability, utilisation, performance, incidents, risks, capacity and service quality.

Keep abreast of the latest developments in AI infrastructure, GPU computing, high-performance computing, cloud-native platforms, LLM operations and related industry trends to support future technology strategy and adoption.

Requirements

Minimum 12 to 15 years of relevant experience in IT infrastructure, AI infrastructure, high-performance computing, GPU computing, cloud infrastructure or large‑scale enterprise technology platforms, with proven leadership experience in managing technical teams, vendors and mission‑critical infrastructure services.

Bachelor’s degree or above in Computer Engineering, Computer Science, Information and Communications Technology, Artificial Intelligence, Data Science, Software Engineering, Electronic Engineering or a related discipline.

A postgraduate degree or relevant professional certification in AI infrastructure, cloud computing, high‑performance computing, cybersecurity or enterprise architecture would be an advantage.

Solid experience in AI infrastructure, high‑performance computing, GPU computing, cloud infrastructure or large‑scale enterprise technology platforms.

Strong technical knowledge of CPU/GPU cluster management, workload scheduling, AI software stack, AI operations platforms, distributed GPU computing, multi‑node AI training and high‑performance networking.

Sound technical knowledge of LLM, token and agentic AI infrastructure, model deployment, inference services, AI workload optimization, MLOps, LLMOps practices.

Strong working knowledge of enterprise networking, storage, cybersecurity, monitoring, backup, disaster recovery, capacity management and operational resilience.

Practical experience with Kubernetes, container platforms, infrastructure automation and cloud‑native operating models.

Familiarity with deep learning frameworks such as TensorFlow, PyTorch, Caffe or equivalent frameworks.

Understanding programming and scripting languages such as Python, Java, C++, R, CUDA or equivalent technologies for AI and infrastructure automation use cases.

Experience in managing large‑scale and mission‑critical infrastructure projects, production platforms, outsourcing services, service delivery governance, incident management, capacity planning and technology lifecycle management.

Strong analytical, troubleshooting and problem‑solving capabilities, with the ability to address complex performance, scalability, availability and integration challenges.

Ability to operate effectively in a fast‑paced and rapidly evolving technology environments.

Strong communication, stakeholder management and collaboration skills, with the ability to work effectively with technical teams, business users, vendors, partners and subject matter experts.

Good command of written and spoken English and Chinese.

Strong interest in AI infrastructure, AI supercomputing, emerging technologies and practical innovation.

Candidates with less experience may be considered for the Senior Manager position.

We offer competitive package to the right candidate.

Further information about the Cyberport is available at https://cyberport.hk/

Personal data collected will be treated in the strictest confidence and only be used for recruitment‑related purpose.

Cyberport is a creative digital community with more than 2100 community members. It is managed by Hong Kong Cyberport Management Company Limited which is wholly‑owned by the Government of the Hong Kong Special Administrative Region. With a vision to build a legacy of entrepreneurial excellence that establishes Cyberport as a leading global innovation and technology hub, Cyberport is committed to facilitating the local economy by nurturing digital industry start‑ups and entrepreneurs, driving collaboration to pool resources and create business opportunities, and accelerating digital adoption through strategic initiatives and partnerships and venture capital investment.

Central, Central and Western District, HK

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