Company | Visa Labs |
Industry | Technology |
Location | Singapore |
Position Type | Internship |
Post Date | 26 January 2015 |
Closing Date | n.a |
Employer Description
Visa Inc. is a global payments technology company that connects consumers, businesses, financial institutions and governments in more than 200 countries and territories, enabling them to use digital currency instead of cash and checks.
Visa does not issue cards, extend credit or set rates and fees for consumers. Visa’s innovations enable its bank customers to offer consumers choices: Pay now with debit, ahead of time with prepaid or later with credit products. From the world’s major cities to remote areas without banks, people are increasingly relying on digital currency along with mobile technology to use their money anytime, make purchases online, transfer funds and access basic financial services. All of which makes their lives easier and helps grow economies.
Responsibilities
Project 1: Graph Databases: Cloud-based processing of extremely large graphs.
Key responsibilities include: Develop a distributed platform for graph processing; Investigate and prototype graph processing algorithms; and, as a use case, Develop a cloud-based prototype (with web UI) for analyzing large-scale data sets.
Project 2: Trusted Computing on Embedded Systems
Key responsibilities include: Testing and development of software and hardware on an embedded system, to evaluate how an existing system can be extended for security applications.
Project 3: Natural Language Processing
Other responsibilities include: Develop algorithms for NLP processing and pattern recognitions on large data sets.
Qualifications
Master’s degree in Computer Science, Electrical Engineering, Information Systems or other technical discipline preferred.
Strong programming skills in at least one of the following languages: Jave, C, C++, Python.
Solid understanding of the core database principles, embedded system programming/cross-compilation, or natural language processing.
Linux or UNIX, shell scripting, Hadoop or relevant technologies, network science (i.e., Studies on complex networks, HDL/FPGA, software engineering.
Application link
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