David Liu began his career in software engineering, focusing on frontline development of Android-based consumer electronics. Over the years, he has expanded his expertise across embedded systems, mobile devices, smart automotive technologies—including ADAS, millimeter-wave radar, and Driver Monitoring Systems (DMS)—as well as robotics, covering visual algorithms and reinforcement learning. His diverse technical background enables him to bridge emerging technologies with practical product development and transformation.
At Pegatron, David brings extensive experience in software architecture design, code reviews, and technical decision-making. He is also skilled in cross-functional collaboration and engineering team coordination, driving projects through a structured, end-to-end approach encompassing requirements alignment, technical strategy, delivery management, and continuous quality improvement. His leadership emphasizes engineering excellence, innovation, and the successful translation of technology into real-world applications.
WORK EXPERIENCE AND AWARDS
Pegatron, Taiwan
Head of Software Development Department 1, Deputy Manager (2026 - present)
Head of Artificial Intelligence Product Software Department, senior manager (2022 - 2025)
Software Development Engineer (2009 - 2022)
EDUCATIONAL BACKGROUND
Master in Computer Science and Engineering, National Sun Yat-sen University
Bachelor in Computer Science and Information Engineering, Tamkang University
Job Positions
AI Application Software Engineer
1 Vacancy
| Work Type: Full-Time
Co-Supervisor Information
Roger Huang
黃昱傑
Institution
PEGATRON
Division/Department
Software Technology Center-Software R&D Div.3-Software Development Dept.-AI product development software Sec.
Job Title
Manager
Brief Introduction of the Department
【Software Technology Center-Software R&D Div.3-Software Development Dept.-AI product development software Sec.】
The AI Product Development Software Section, under the Software Technology Center, Software R&D Division 3, Software Development Department, focuses on evaluating, selecting, fine-tuning, and deploying multimodal predictive models, as well as leveraging large language models (LLMs) to develop intelligent applications and automated workflows. The team also drives system integration and process validation to accelerate the practical implementation and deployment of AI technologies in consumer electronics, transforming innovative AI capabilities into real-world product applications.
Department Staff Number
- 5-10 people
Internship Job Description
- AI Model Evaluation and Fine-tuning: Evaluate and select suitable open-source models for project requirements (such as physiological signals, sound, or visual data), and perform lightweight fine-tuning and deployment.
- LLM Workflow and Application Development: Interact with Large Language Model (LLM) APIs, build and optimize automated workflows, and be responsible for writing backend business logic code.
- System Integration and Automated Testing: Plan and write automated integration test scripts and toolchains to perform functional verification and process integration for project projects.
- Existing Application Maintenance: Responsible for the refactoring, unit test writing, and daily maintenance of the team's existing software project code.
Preferred Intern Education Level
- Undergraduate students (third year and above) - Master students
Preferred Intern Skill Sets or Qualities
- Core Languages and Frameworks: Proficient in Python and familiar with the PyTorch or TensorFlow deep learning ecosystem.
- AI Model Application Capabilities: Practical experience in deploying open-source models, optimizing inference performance, or fine-tuning models.
- Software Engineering Core Competencies: Proficient in Linux system operation, Git version control, asynchronous programming, and experience with RESTful API/Webhook architecture and calls.
Others
- Expected working hours per week: 30+
- Salary/Financial Support: NT$20,000~30,000 per month
- Additional Benefits: NT$70 contribution per working day for meals
Students may be offered the opportunity to continue as interns for up to six additional months after completing the NTU International Mentorship Program, at the discretion of the host organization.