Smart Mobility - Principal Engineer/Asso Principal Engineer/Snr Lead Engineer/Lead Engineer

ASTRI - Hong Kong Applied Science and Technology Research Institute; Hong Kong Island; On-site; HKD 446,400 - 781,200; Full time

Benefits offered by this job

Competitive salary

Paid leave

Medical and insurance coverage

Contribution to MPF

Job summary

ASTRI - Hong Kong Applied Science and Technology Research Institute is seeking a Smart Mobility Engineer to advance Hong Kong's smart city initiatives. The role involves conducting R&D in cutting-edge technologies such as autonomous driving and developing innovative solutions for smart mobility. Applicants should have at least a Bachelor's degree in a relevant field and experience in AI, sensor fusion, or related programming languages. This full-time position offers a competitive salary between HKD 40,000 to HKD 70,000 monthly, depending on qualifications and experience.

Qualifications

• Bachelor’s degree or higher in Computer Science, Electronic Engineering, Telecommunications or relevant discipline.
• Candidates with less experience may also be considered.
• Proficiency in using Microsoft Office is a basic requirement.

Responsibilities

• Conduct R&D in smart mobility-related areas, including autonomous driving and intelligent transportation.
• Define requirements and specifications for smart mobility technology.
• Perform on-site deployment and testing of Smart Mobility technology.

Skills

C++

Java

Python

AI & Perception

Sensor Fusion Algorithms

Simulation Tools

GIS Software

Education

Bachelor’s degree in Computer Science, Electronic Engineering, or Telecommunications

Job description

Smart Mobility - Principal Engineer/Asso Principal Engineer/Snr Lead Engineer/Lead Engineer

Join to apply for the Smart Mobility - Principal Engineer/Asso Principal Engineer/Snr Lead Engineer/Lead Engineer role at ASTRI - Hong Kong Applied Science and Technology Research Institute

Smart Mobility - Principal Engineer/Asso Principal Engineer/Snr Lead Engineer/Lead Engineer

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Hong Kong Applied Science and Technology Research Institute (ASTRI) was founded by the Government of the Hong Kong Special Administrative Region in 2000 with the mission of enhancing Hong Kong’s competitiveness through applied research.

ASTRI’s core R&D competence in various areas is grouped under five Technology Divisions: Advanced Electronic Components and Systems; Artificial Intelligence and Trust Technologies; Communications Technologies; IoT Sensing and AI Technologies; and Intelligent Perception and Control Technologies.

It is applied across six core areas which are Smart City, Financial Technologies, New Industrialisation and Intelligent Manufacturing, Digital Health, Application Specific Integrated Circuits and Metaverse.

Over the years, ASTRI has nurtured a pool of research, I&T talents and received numerous international awards for its pioneering innovations as well as outstanding business and community contributions.

As of 2023/24, ASTRI has transferred more than 1,500 technologies to the industry and has been granted over 1,100 patents in the Mainland, the US, and other countries.

Project Description

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):

This project aims to provide autonomous bus and passenger services that are compatible with different traffic systems, capable of handling different traffic system information and various geographical differences between the Mainland and Hong Kong.

The autonomus bus is proposed under trial at Lok Ma Chau Loop to advance the development of future cross-border autonomous driving and vehicle-to-everything (V2X) technology.

For further details, please refer to Connected Autonomous Bus with Multi-system Compatibility.

Job Responsibilities

• Conduct R&D in cutting-edge smart mobility-related areas, including Vehicle-to-Everything (V2X), autonomous driving, intelligent transportation systems and the Low-Altitude Economy (LAE), with the objective to deploy commercial trials and rollouts in the market in partnership with industry leaders in these areas
• Define requirements, specifications, and innovative designs for smart mobility technology
• Perform on-site deployment, integration, and testing of the Smart Mobility technology based on the varying requirements of different customers and partners
• Design and implement new patents in smart mobility-related areas
• Research and build up know-how and hands-on experience in one or more of the following areas, but not limited to:
• AI & Perception
• Intelligent perception of traffic events, including multi-modal sensor fusion, object tracking, and event detection, by combining data from LiDAR, cameras, radar, and other sensors
• Data-driven microscopic modelling of transportation system
• Behavior modelling and cognitive AI in transportation systems
• Develop predictive analytics models to forecast traffic trends and recommend real-time traffic adjustments
• Simulation
• Design and implement autonomous simulation software that model and simulate traffic elements, traffic patterns, transportation systems, infrastructure and various scenarios
• Design and implement data mining algorithms and statistical models to extract insights from large datasets from transportation system
• Analyze simulation results to identify potential traffic safety and efficiency issues and propose solutions for improvement
• Conduct performance testing and optimization of simulation models
• Backend & Frontend
• Design, develop, and maintain server-side logic, ensuring high performance and responsiveness
• Design and implement distributed system architectures for large-scale applications
• Develop and maintain microservices architecture for modular and scalable applications
• Design and maintain relational and NoSQL databases, optimize queries and database performance for scalability and efficiency
• Design, develop, and maintain GIS-based applications and tools for spatial data management, analysis and visualization
• Design intuitive Human-Machine Interaction (HMI) interfaces for autonomous vehicles and smart transportation systems
  

Job Requirements

• Bachelor’s degree or higher in Computer Science, Electronic Engineering, Telecommunications or relevant discipline with a minimum 3 years of related experience
• Candidates with less experience may also be considered
• For applying the AI-related opening(s), candidates are expected to have sound knowledge and understanding in principles of machine-leaning, including neural networks, optimization methods, and statistical methods, as well as experience in at least one of the following programming languages: C++/C/Java/Python
• For applying the perception-related opening(s), candidates are expected to be proficient in sensor fusion algorithms for object detection and tracking, as well as in sensor data processing and deep learning frameworks for perception tasks
• For applying the simulation-related opening(s), candidates are expected to be familiar with simulation tools such as SUMO, CARLA, NS-3
• Candidates with solid experience in Java and its ecosystem (including frameworks like Spring Boot, OSGi, Hibernate, and Java EE), web services and APIs (such as REST, gRPC, WebSockets, MQTT) will be prioritized
• Candidates with solid experience in modern frontend frameworks and libraries such as React and Vue.js, along with knowledge of responsive design principles and intuitive Human-Machine Interfaces (HMI) will be prioritized
• Proficiency in GIS software such as ArcGIS, Mapbox, or OpenLayers, as well as databases including PostGIS (PostgreSQL), and MongoDB, with the ability to manage and process large-scale geospatial datasets, will be prioritized
• Good command of both written/spoken English and Chinese (including Putonghua)
• Proficiency in using Microsoft Office is a basic requirement
• Characteristics such as good teamwork, communication, and a strong work ethic will be a plus
• Live ASTRI values
  
  

Application

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

For interested parties, please submit your application with detailed CV within two weeks of the post date. Applicants are encouraged to submit their applications as soon as possible. The review of applications will continue until post is filled.

The resume should not include any sensitive personal information such as ID card number or travel document number etc.

Position offer is subject to the applicant’s experience and academic qualification. 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. For details, please refer to ASTRI Privacy Policy Statement.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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