The Hong Kong Applied Science and Technology Research Institute (ASTRI) was established by the Hong Kong SAR Government in 2000 with a mission to enhance the city’s global competitiveness. To remain globally prominent, Hong Kong strives to find new ways for its traditional sectors to thrive, and...

The Hong Kong Applied Science and Technology Research Institute (ASTRI) was established by the Hong Kong SAR Government in 2000 with a mission to enhance the city’s global competitiveness. To remain globally prominent, Hong Kong strives to find new ways for its traditional sectors to thrive, and for the potential of emerging sectors to be unleashed. Harnessing the power of technology is key to achieving this.

ASTRI lives up to its mission by pursuing applied Research and Development (R&D) that is delivering technological solutions that strengthen institutions, improve businesses, and benefit communities. Its R&D endeavours focus on five key areas of applications:

  • Smart City
  • Financial Technologies
  • Intelligent Manufacturing
  • Health Technologies
  • Application Specific Integrated Circuits

 

To support our constant endeavour to position Hong Kong as a world-class smart city and an international hub of innovation and technology, we are seeking qualified professionals to fill the following position(s):

Principal Engineer, Machine Learning

Job level Middle
Work exp Minimum 5 Years
Education Master Degree
Location
Shatin
Benefits 5-day week, Dental plan, Medical plan, Performance bonus
Industry Information Technology
Job function Engineering > Electrical / Electronic Engineering
Information Technology > Engineering - Hardware
Science / Lab / Research > Research & Development (R&D)
Published On 17/06/2021
ref. CTO/ICS/MLP/2702/210204

Job Responsibilities

  • Deep learning related FPGA/ASIC/SoC hardware design architect.
  • Lead hardware architecture design, development and evaluation.
  • Work with Software and Algorithm team to come up with an optimized hardware architecture.
  • Assist the CCG leader to define the AI chip development roadmap apply for ITF projects according to the business plan and strategy.
  • Provide training and support to team members.
  • Modelling and simulating algorithms for hardware implementation.
  • Participating in AI system design and implementation for commercialization.

Requirements

  • Ph.D. or Master holder in Computer Science, Electronic Engineering, Electrical Engineering, Information Engineering, IC Design or relevant disciplines with minimum 6 years of related experiences. Candidate with less experiences may also be considered.
  • Experience in HDL coding is highly preferred.
  • Hands-on experience in IC design and verification is highly preferred.
  • Experience in SoC integration and development is an advantage.
  • Experience in FPGA prototyping and debugging is an advantage.
  • Research and development experiences in machine learning, computer vision, image processing or artificial intelligent relevant areas is a plus..
  • Professional background in at least one of the following areas: machine learning, computer vision, image processing, IC design, FPGA implementation & prototyping, firmware development, compiler, and strong programming skills Verilog or System Verilog is highly preferred.
  • Team player with good analytical and strong communication skills.
  • Excellent analytical and troubleshooting skills is highly preferred.
  • Passionate about new technology.

Application

The appointment will be on renewable contract terms with a competitive salary and performance-linked variable pay. Fringe benefits include paid leave, medical and dental benefits, insurance coverage and contribution to MPF. The incumbent will normally work a five-day week.

Interested candidates please send application (quoting Ref. No.) with detailed resume, current and expected salary to Talent Acquisition by clicking  

Application will be open until the position is filled. Only short-listed candidates will be notified. ASTRI reserves the right not to fill the position.

ASTRI is an Equal Opportunities Employer. Personal data provided by job applicants will be used exclusively for recruitment only.