(Sr.) Applied AI Module Engineer

Location: Taipei

Time Type: Full time

Job Description

Join Trend ‧ Join New Generation

趨勢科技 - 全球雲端資安領航者 / 全亞洲最大軟體公司 / 企業版圖橫跨五大洲 / 趨勢全球研發基地在台灣 
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Overview

We Endpoint Module team is responsible for building Trend Micro’s most fundamental and critical engines, the core of our security technologies. These engines power key protection capabilities across our entire endpoint product line.

To stay ahead of today’s evolving threats and meet the ever-changing needs of our customers, we continuously refine and advance our technologies. Here, we don’t just maintain—we innovate.

Join us, and you’ll work hands-on with the most essential components in Trend Micro’s protection stack, gaining deep insights into how we safeguard our customers’ products in real-world environments.

We are now looking for passionate and experienced software engineers to join our team. You will help develop and maintain our core detection and protection engines on endpoint platforms (Windows/Linux), playing a critical role in Trend Micro’s overall security portfolio.

Your Mission

Build, maintain, and advance core detection and protection engines on endpoint platforms (Windows/Linux), while operating as an AI-native engineer — leveraging AI tools across every stage of the development lifecycle to deliver stable, high-quality output efficiently.

What You'll Do

Security Engineering

• Develop and maintain low-level security modules in C/C++ and Python on Windows and Linux platforms

• Build and maintain both user-mode DLLs and kernel-mode drivers

• Understand and model real-world threats to inform detection and protection logic

• Troubleshoot complex issues using Windows native infrastructure — including memory dump analysis and crash diagnostics

• Monitor and improve engine performance; identify bottlenecks and optimize for production workloads

AI-Native Development

• Use AI-native development tools (e.g., Claude Code, GitHub Copilot, Cursor) across every stage of the development lifecycle

• Maintain a repeatable AI-native workflow with consistent configurations and context engineering practices

• Leverage or build agent tools (e.g., AI Agent Skills, MCP servers) to automate and accelerate engineering tasks

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Reliability & Collaboration

• Develop automation processes and testing systems

• Apply DevOps practices to enhance engine availability and reliability

• Collaborate cross-functionally to resolve customer issues

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What You'll Learn

• Deep Linux/Windows system internals and driver development

• C/C++/Python engineering at the system level

• Automation testing design and execution

• Memory dump analysis and crash forensics

• Performance profiling and optimization techniques

• AI-native development workflows and tooling

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Requirements

• 3+ years of C/C++ development experience

• Familiarity with Linux/Windows system mechanisms

• Proficiency with AI-native development tools (e.g., Claude Code, GitHub Copilot, Cursor) and established AI workflow practices

• Highly proactive, self-motivated, strong team player

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Nice to Have

• BS or MS in Computer Science or a related field

• Strong knowledge of Windows/Linux internals (kernel, memory management, driver model)

• Experience with memory dump analysis (WinDbg, crash forensics)

• Familiarity with Python for scripting and automation

• Deep threat knowledge — malware behavior, detection techniques, or offensive security background

• Performance analysis experience (profiling, benchmarking, latency optimization)

• Experience driving team-level AI workflow standardization or measurable improvements

• Good English communication skills

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Culture Fit

• Passionate about AI and eager to share knowledge with teammates

• Embraces experimentation and continuous learning in a fast-evolving landscape

• Cares deeply about product quality and real-world performance impact

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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World