Job Description

Location: Singapore, Singapore
Thales people architect solutions that support 85 million mainline and suburban passenger journeys, worldwide, every day. Our Rail Signalling and Communication systems are used on metro lines across major cities, and 72,000 kms of route, 52,000 trains per day in 16 countries are controlled by our Traffic Management Systems. Together We deployed the first-ever nationwide ticketing system which processes over 50 million ticketing transactions in 100 cities daily.
Thales established its presence in Singapore in 1973 to support the expansion of aerospace-related activities in the Asia-Pacific region. Throughout the last four decades, the company grew from strength to strength and is today involved in the primary businesses of Aerospace (including Air Traffic Management), Defence & Security, Ground Transportation and Digital Identity & Security. Thales today employs over 2,100 people in Singapore across all its business areas.

Position Summary :
Thales is deploying its state-of-the-art Distributed Intelligent Video Analytics (DIVA) system in the North-East MRT Line (NEL) in Singapore. DIVA is being deployed progressively in the five major interchange stations of NEL (Serangoon, Chinatown, Dhoby Ghaut, Little India and Outram Park). DIVA taps video streams from the existing NEL analog CCTV cameras and performs concurrent real-time intelligent video analytics using distributed computing.

This position is with the Systems Engineering team in Singapore.

The person joining the team will be working on the DIVA system integration.

In the course of your work, you will learn and understand on how to tailor DIVA and integrate it into the existing CCTV systems of NEL. You will help with the automation of our engineering process to ease DIVA customization. You will also work with the system engineering team on DIVA data visualization and verification.

Main Tasks & Responsibilities :
Main tasks and responsibilities involve customization of DIVA to seamlessly integrate it into NEL\xe2\x80\x99s existing CCTV systems, automation of DIVA configuration, and participate in the data visualization and verification. The person should also be proactive to help the team in any other areas within the scope of systems engineering.

Requirements:

• Currently enrolled in a full-time undergraduate course of Computer Science or any related technical field (e.g., IT, Engineering), and interested in doing Systems Engineering
• Experience or proficiency in Linux systems (e.g., CentOS, Ubuntu, Debian)
• Experience in network or having good knowledge of network concepts
• Knowledge in virtualization/containerization technologies (e.g., Docker, VMware, VirtualBox)
• Knowledge or experience in the following is a plus:

• CCTV, video management systems, Video Analytics software
• Edge-based IP cameras, Network Video Recorder (NVR)
• Adobe Illustrator, Scalable Vector Graphics (SVG)
• GPU technologies (e.g., nVidia CUDA)
• Kubernetes, Grafana
• JavaScript, AJAX, XML, JSON, YAML

• Good interpersonal skills, writing and verbal skills

Learning outcomes:
At the end of your internship you will be able to achieve the following:

• Understand how an intelligent video analytics system work, its configuration and deployment
• Experience working in a large-scale system, affirming your knowledge of systems engineering

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!