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Assistant Director, High Performance Computing

Date:  6 Jul 2026
Job Code:  1849/2026/EDD/AIDATA

The Position

  • Lead the technical services team for the High-Performance Computing (HPC) platform
  • Provide technical leadership on the HPC development with a focus on enabling AI-related R&D activities
  • Manage the customer projects by formulating requirements and objectives, providing resource estimation, defining milestones, identifying risks, handling critical issues, and liaising with the business and IT teams
  • Establish and implement best practices for the HPC technical operations
  • Ensure a smooth and successful transition of the HPC project from the project development phase to the operational phase with comprehensive and up-to-date documentation and reliable maintenance related procedures, etc.
  • Collaborate with the IT operation team to provide daily services and adhere to the SLA
  • Conduct performance tuning and capacity management for the HPC platform
  • Provide technical support and user training for scientific computing, especially in the domain of AI/ML
  • Provide consultantcy services and pre-sales support to the business team
  • Contribute to community engagement activities and develop showcases to demonstrate the use cases of the HPC platform
  • Perform any othe duties as assigned 
     

The Candidate

  • A bachelor’s degree in engineering, science, related disciplines or equivalent; Possession of a higher degree by research (e.g. Mphilip or PhD) is an advantage
  • 10 years of hands-on experience preferably in managing and supporting HPC Platforms
  • Higher education or professional qualifications with less experience will also be considered
  • Sound knowledge and experience in Artificial Intelligence, Data Analytics, Python, R, Machine Learning, and Deep Learning using HPC Platform highly preferred
  • Strong understanding and hands-on experience with job management, cluster management and high-performance file systems
  • Practical experience in designing and building HPC systems desirable
  • Experience in setting up monitoring and optimization for HPC systems desirable
  • Familiar with the Linux Operating System, including setup and configuration in a large-scale computing clusters/HPC environment
  • Familiar with the Nvidia DGX platform and cluster management software will be an advantage
  • Familiar with Kubernetes platform and able to set up monitoring, logging, and alerting for Kubernetes clusters
  • Experience with setting up and performance tuning on both open-source and licensed HPC applications
  • Knowledge in Large Language Models (LLM) and Prompt Engineering
  • Strong experience in supporting various Research and Development Projects in large enterprises or universities
  • Experience in customer training and providing technical enabling services to clients
  • Strong project and people management skills, with a demonstrated ability to work independently
  • Results-oriented, analytical, and collaborative, with the capacity to multitask and adapt effectively in a fast-paced environment
  • Excellent in verbal and written English and Chinese (Cantonese and Putonghua)


What We offer  

 

  • Unique Work.Live.Play.Learn culture in Hong Kong’s largest Innovation & Technology ecosystem
  • 5-day work week, attractive annual leave and additional special leave
  • Medical benefits including dental and annual check-up from Day-1, with extended coverage to dependent(s)
  • Professional training and career advancement opportunities
  • Accessible to various bus service with network across different locations in HK

 


Interested parties please submit your application by clicking “Apply Now”.  Direct applicants who do not apply via the “Apply Now” will not be progressed further. Commencing position will be commensurate with qualifications, relevant experience, and competencies.  

 

The application will remain open until the position is filled. HKSTP reserves the right not to fill the position.

 

Personal data provided will be treated in strict confidence and used for recruitment purpose only.  All personal data collected will be used strictly in accordance with employer’s personal data policies, you can refer to the Corporation’s Privacy Policy Statement at https://www.hkstp.org/privacy-policy/

 

Applicants not invited for interview within 6 weeks may consider their applications unsuccessful.  Personal data of unsuccessful applicants will be retained for a maximum of two years counting from the date the vacancy has been filled.

 

About Hong Kong Science & Technology Parks Corporation

 

Hong Kong Science and Technology Parks Corporation (HKSTP) was established in 2001 to foster a thriving innovation and technology (I&T) ecosystem that nurtures emerging companies, supports numerous research professionals and technology firms from various countries. This ecosystem focuses on developing sectors such as life and health tech, AI & robotics, fintech, and smart city technologies, etc.

 

HKSTP provides comprehensive support to attract and nurture talent, accelerating the commercialization of innovations for technology ventures. The Corporation continues to contribute in establishing I&T as a pillar of growth for Hong Kong.


More information about HKSTP is available at www.hkstp.org.

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