岗位:IBM Technical Computing Software Engineer
工作地点:北京
要求:硕士或博士应届毕业生、英语CET-6、具有较强的项目实现能力
简历发送至:lihongliangjlu@yahoo.com
截止至星期日晚(9月21日)、简历筛选后再进行通知
IBM Technical Computing Software Engineer
Location: Beijing
IBM Technical Computing is a family of systems software that aids in Cloud, Big Data & Analytics and High Performance Computing (HPC), including computationally and data-intensive design, manufacturing, financial analytics, and business, research applications. More than 2,500 clients including 23 of the top 30 largest global enterprises, use Technical Computing solutions. Due to continuous revenue/profit growth and competitive enhancements of our products in the past few years and outstanding 2014, along with excellent Technical Support, we foresee continued growth excellence in future.
Cloud, Big data & Analytics and HPC are most popular IT technologies in recent years, and will be key technologies in the coming decades in IT area. They are also highest revenue growth area in IBM and being continuously heavily invested by IBM. Join the team, you have the opportunity to work on those most popular technologies and build your future career.
As the development and service center of IBM Technical Computing, we will be participating in end to end development including:
-
Function specification, design and implementation
-
Product maintenance and enhancements.
-
Function, performance, scalability and stress tests
-
Project management
-
Customer management and service
Requirements:
-
Self-motivation and the ability to learn fast
-
Excellent communication skills and team spirit
-
Fluent oral and written English
-
Ph.D, Master's or bachelor's degree, majoring in computer science or equivalent
-
Good Windows and/or UNIX/Linux system development and computer network knowledge is highly desired
-
Skills in at least one of the programming languages(C/C++, JAVA, Perl)
-
Strong problem-solving & trouble-shooting skills.
-
Distributed system programming knowledge is a plus
-
Skills in Java based web development is a plus
-
Understanding of Hadoop and Map/Reduce is a plus