软件开发工程师（针对2018届毕业生）

此岗位简历投递截止时间：各地区笔试前一天24：00前
行程详情请关注“行程安排”。

工作职责:
In this position, you will be responsible for working in software product development
which is used by our global customers. As a programmer at Trend Micro, you will help
to design, develop, maintains, implements and update the code and software modules
for our projects & products. You will work with minimal supervision on analysis task. You
will participate in the definition of the lifecycle of software process and in code reviews.

任职资格：
1. BS, MS, or PHD in Computer Science, Software Engineering, Electronic Engineering or related
technical discipline (or equivalent), graduating in 2018.
2. Good programming experience in C/C++ or Java on Windows, Linux/UNIX or MacOS.
3. Solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
4. Coding skills in Python, Perl, JavaScript, database design and SQL, and/or knowledge of TCP/IP and network programming are a plus.
5. Mobile platform (Android, iOS, Windows Mobile) or Mac development experience is a plus.
6. Distributed System, Big-Data and Deeping learning related experience is a plus.
7. Development experience on AWS or Azure cloud platform is a plus.
8. Fluency in English (reading and writing).
9. Has a strong passion for innovation. Can see problem in a unique view and come up with creative solutions.

安全特长生（针对2018届毕业生）

此岗位简历投递截止时间：9月16日24：00
此岗位一律采用线上笔试形式。

工作职责:
This position comes from CoreTech Group of Trend Micro, available for talents with strong interest,
capability and potential on security domain.
In this position, you will be responsible for working in anti-malware engine research & development
which is used as core module in products to protect our global customers. Beyond as a programmer
at Trend Micro to design, develop, maintains, implements and update the code and software modules
for our projects & products, you also need to deep understand the threat behavior, landscape &
evolution trend, as well as attack & defense techniques.

任职资格：
1. BS, MS, or PHD in Computer Science, Software Engineering, Electronic Engineering or
related technical discipline (or equivalent), graduating in 2018.
2. Strong interest & good experience on Reverse Engineering and good programming skills.
3. Solid foundation in computer science with strong competencies in data structures & algorithms.
4. Fluency in English (reading and writing).
5. Has a strong passion for innovation. Can see problem in a unique view and come up with
creative solutions.
6. Deep understanding on Network and Windows OS internals especially user/kernel mode
hook is a plus
7. Deep understanding on Exploitation Technology (e.g., Shellcode, Heap Spray, ROP) is a plus
8. Deep understanding on Computer Language Compiler Theory is a plus
9. Deep understanding on Mobile (Android, iOS) or Mac platform is a plus.

机器学习工程师（针对2018届毕业生）

此岗位简历投递截止时间：各地区笔试前一天24：00前
行程详情请关注“行程安排”。

工作职责:
1. Study Malware characteristics for Mac OS/Windows/Linux or other cyber threats and work with threat experts to design possible features.
2. Handling real traffic data and analyzing distribution of features, selecting and/or changing features, purifying data, building up good quality training/testing data set as well as automatic processes for training and testing.
3. Research machine learning approaches to learn knowledge from real world data and prediction results should be comparable to worldwide competitors.
4. Based on gained knowledge from above research to provide advice or solution POC on new or enhanced methods of malware detection for Titanium, OfficeScan, and other Trend Products.
5. Implement and deliver machine-learning solutions as packages of Intelligent Engine embedded into Trend Products.
6. Join and speak in global security conference about research. Observations and findings.

任职资格：
1. PhD/Master graduates in Computer Science or related fields.
2. Fast-Learning, Creativity and self-motivated.
3. Strong Developing Skill under Linux with C/C++ or Python.
4. Strong passion on pattern recognition/machine learning/neural network with some programming to validate certain algorithms.
5. Good at Statistics would be a plus.