CBtalent 在臺東協印度人才交流平臺

和碩聯合科技

Pegatron Corporation

在2008年成立,和碩聯合科技股份有限公司(PEGATRON)專注於設計、製造電子產品,涵蓋通訊、資訊、消費性電子領域,致力於技術創新與永續發展。

Established in 2008, Pegatron Corporation is a leading global company specializing in the design, manufacturing, and service of computing, communications, and consumer electronics products. We are committed to innovation, quality, and sustainability across all operations.

Job Vacancies

For any nationality

Pegatron Corporation

For any nationality

Pegatron Corporation

For any nationality

Pegatron Corporation

For any nationality

Pegatron Corporation

For any nationality

Pegatron Corporation

For any nationality

Pegatron Corporation

For any nationality

Pegatron Corporation

For any nationality

Digital Twin平台工程師

Job Description

Join our team and have the opportunity to design and develop innovative full-stack applications focused on our enterprise-level Agentic AI and Digital Twins platform, driving digital transformation in the industry. We are looking for passionate individuals who are eager to build high-performance AI-driven applications, integrating cutting-edge technologies such as large language models and real-time data processing to deliver exceptional experiences for enterprise users. In this role, you will collaborate closely with cross-functional teams to translate business needs into innovative technical solutions, ensuring our systems meet the highest standards of security and performance, and become a key player in advancing the industry.

And followings are the R&R for this job:
• Design, develop, and maintain full-stack applications for an Enterprise Agentic AI and Digital Twins platform.
• Build and optimize scalable, high-performance AI-driven enterprise applications, integrating LLMs, multi-agent systems, and real-time data processing.
• Develop intuitive front-end interfaces for enterprise users, enabling seamless interaction with AI-powered decision-making tools.
• Architect and implement robust back-end systems to support AI model deployment, real-time analytics, and business process automation.
• Work with AI/ML, cloud, and data engineering teams to integrate AI models, data pipelines, and simulation environments into enterprise workflows.
• Ensure system security, scalability, and performance optimization for enterprise-level applications.
• Collaborate with product managers, data scientists, and engineers to translate business needs into technical solutions.

Job Requirement

• Bachelor Degree or above in Computer Engineering, or Electrical Engineering related fields
• Strong proficiency in front-end frameworks (React) or back-end development (Python, Go).
• Experience with cloud-native architectures (AWS, GCP, or Azure) and microservices development.
• Proficiency in database technologies (SQL, NoSQL) and distributed systems.
• Strong understanding of AI, and Digital Twins.
• Familiarity with real-time data streaming, event-driven architectures, and API design.
• Fluent in English, with the ability to collaborate with global engineering and business teams.
•Experience in full-stack engineering experience, ideally in AI-driven or enterprise SaaS platforms is preferred.

For any nationality

AI 工程師

Job Description

Join our team and have the opportunity to design and develop innovative full-stack applications focused on our enterprise-level Agentic AI and Digital Twins platform, driving digital transformation in the industry. We are looking for passionate individuals who are eager to build high-performance AI-driven applications, integrating cutting-edge technologies such as large language models and real-time data processing to deliver exceptional experiences for enterprise users. In this role, you will collaborate closely with cross-functional teams to translate business needs into innovative technical solutions, ensuring our systems meet the highest standards of security and performance, and become a key player in advancing the industry.

And followings are the R&R for this job:
• Design, develop, and maintain full-stack applications for an Enterprise Agentic AI and Digital Twins platform.
• Hybird cloud design, implement and deploy on-prem / public cloud (AWS, Azure)
• Build and optimize scalable, high-performance AI-driven enterprise applications, integrating LLMs, multi-agent systems, and real-time data processing.
• Develop intuitive front-end interfaces for enterprise users, enabling seamless interaction with AI-powered decision-making tools.
• Work with AI/ML, cloud, and data engineering teams to integrate AI models, data pipelines, and simulation environments into enterprise workflows.
• Ensure system security, scalability, and performance optimization for enterprise-level applications.
• Collaborate with product managers, data scientists, and engineers to translate business needs into technical solutions.

Job Requirement

• Bachelor Degree or above in Computer Engineering, or Electrical Engineering related fields
• Experience with cloud-native architectures (AWS, GCP, or Azure) and microservices development.
• Proficiency in database technologies (SQL, NoSQL) and distributed systems.
• Strong understanding of AI/ML model integration, agentic AI, and Digital Twins.
• Familiarity with real-time data streaming, event-driven architectures, and API design.
• Experience in LLMs, AI agent orchestration frameworks, and enterprise AI solutions is a plus.
• Fluent in English, with the ability to collaborate with global engineering and business teams.
•Experience in full-stack engineering experience, ideally in AI-driven or enterprise SaaS platforms is preferred.

For any nationality

Digital Twin應用工程師

Job Description

Join our team and have the opportunity to design and develop innovative full-stack applications focused on our enterprise-level Agentic AI and Digital Twins platform, driving digital transformation in the industry. We are looking for passionate individuals who are eager to build high-performance AI-driven applications, integrating cutting-edge technologies such as large language models and real-time data processing to deliver exceptional experiences for enterprise users. In this role, you will collaborate closely with cross-functional teams to translate business needs into innovative technical solutions, ensuring our systems meet the highest standards of security and performance, and become a key player in advancing the industry.

And followings are the R&R for this job:
• Build and optimize scalable, high-performance AI-driven enterprise applications, integrating LLMs, multi-agent systems, and real-time data processing.
• Integrate with Nvidia Omniverse to implement applications related to the virtual space.
• Work with AI/ML, cloud, and data engineering teams to integrate AI models, data pipelines, and simulation environments into enterprise workflows.
• Collaborate with product managers, data scientists, and engineers to translate business needs into technical solutions.

Job Requirement

• Master Degree in Computer Engineering or Electrical and Electronic Engineering related fields
• Strong understanding of AI/ML model integration, agentic AI, and Digital Twins.
• Familiarity with real-time data streaming, event-driven architectures, and API design.
• Fluent in English, with the ability to collaborate with global engineering and business teams.
• Experience in full-stack engineering experience, ideally in AI-driven or enterprise SaaS platforms is preferred.

For any nationality

全端工程師

Job Description

Join our team and have the opportunity to design and develop innovative full-stack applications focused on our enterprise-level Agentic AI and Digital Twins platform, driving digital transformation in the industry. We are looking for passionate individuals who are eager to build high-performance AI-driven applications, integrating cutting-edge technologies such as large language models and real-time data processing to deliver exceptional experiences for enterprise users. In this role, you will collaborate closely with cross-functional teams to translate business needs into innovative technical solutions, ensuring our systems meet the highest standards of security and performance, and become a key player in advancing the industry.

And followings are the R&R for this job:
• Design, develop, and maintain full-stack applications for an Enterprise Agentic AI and Digital Twins platform.
• Build and optimize scalable, high-performance AI-driven enterprise applications, integrating LLMs, multi-agent systems, and real-time data processing.
• Develop intuitive front-end interfaces for enterprise users, enabling seamless interaction with AI-powered decision-making tools.
• Work with AI/ML, cloud, and data engineering teams to integrate AI models, data pipelines, and simulation environments into enterprise workflows.
• Ensure system security, scalability, and performance optimization for enterprise-level applications.
• Collaborate with product managers, data scientists, and engineers to translate business needs into technical solutions.

Job Requirement

• Master Degree in Computer Engineering or Electrical Engineering related fields
• Strong proficiency in front-end frameworks (React) or back-end development (Python, Go).
• Proficiency in database technologies (SQL, NoSQL) and distributed systems.
• Strong understanding of AI/ML model integration, agentic AI, and Digital Twins.
• Familiarity with real-time data streaming, event-driven architectures, and API design.
• Fluent in English, with the ability to collaborate with global engineering and business teams.
• Experience in full-stack engineering experience, ideally in AI-driven or enterprise SaaS platforms is preferred.

For any nationality

PEGAAI系統軟體工程師

Job Description

本團隊主要的工作是將海量數據處理、機器學習、深度學習及統計分析等技術應用在智能製造領域以及利用datadriven
方式輔助企業決策。
在智能製造部份,我們會運用各種演算法分析生產製造、人員或能源數據,發掘潛在的異常狀況,進而達到流程的優化及最佳化。
我們致力於開發模型訓練平台、即時數據監控、資料分析及查詢網站系統,使用者可以透過人性化界面,整合企業資源,有效減少
開發時程,使用簡易清楚的操作介面進行效能監控與資料分析。
目前團隊主要分為數據分析、資料工程、Full Stack及DevOps四大領域,經過幾年的經驗累積,已在公司內部建立了許多成功的案例及數據分析系統。
近年隨著LLM的興起,更加注重在AI應用、Oniverse的部屬。

工作項目:
1. 系統架構設計
2. 微服務開發
3. AI應用(model/LLM/Agent)

Job Requirement

• Master Degree in Computer Engineering or Electrical Engineering related fields
• Model inference (torch, tf, onnx, huggingface, LLM, etc)
• System(docker, k8s, backend)
• Database sql/nosql(mongodb)
• Python
• LLM application(RAG, Agent, Prompt …etc)
• 開發模式: Scrum

For any nationality

人資管理師

Job Description

招募與員工關係:
1.開發產學合作與多元招募管道
2.規劃招募專案
3.招募行銷企劃與宣傳設計(DM、網頁、影像多媒體等)
4.執行招募及甄選日常作業
5.海外招募
6.員工關係活動規劃

組織與任用管理:
1. 任用管理:包含各類新進人員任用作業、系統維護與員工個人資料更新/維護、任用系統優化
2. 派駐管理:派駐人員申請(含資格標準及工作簽證)/展延/歸建作業、各類派駐人員問題處理(含假勤/機票/展延)、派駐機票系統管理
3. 離職留停管理:離職留停作業管理、離職系統維護與優化
4. 識別證管理:員工識別證製卡、門禁權限設、製卡系統維護與優化
5. 異動管理:組織異動作業、人員部門異動作業(含轉廠/職類異動)、人員輪調作業管理
6. 晉升/績效與職等職位管理:年度晉升作業、年度績效作業、名片管理、獎懲作業管理
7. 各類人力統計、人事報表與分析,福委福利名單提供
8. 各類人資專案與交辦事項

薪酬:
1. 保險相關事宜,包含勞保、健保、勞退、團保之加退保及相關給付申請,以及每月結算作業。
2. 年度團保規劃提案,並協助海外據點團保項目確認。
3. 假勤相關事宜,負責員工出勤與假勤管理及每月假勤結算。
4. 人資系統維護。
5. 協辦年度調薪相關作業 。
6. 假勤及保險法規遵循 。

Job Requirement

• 英文精通
• 科系:商管相關科系、人力資源管理科系
• 具備勞基法相關知識尤佳
• 樂於學習新知與新技能
• 勇於挑戰及創新
• 良好溝通與團隊合作意識及能力
• 保有積極正向的態度,勇於挑戰與承擔工作
• 細心度及問題分析解決能力

For any nationality

Machine Learning Engineer

Job Description

1. Understand business objectives of customers and eliciting requirements.
2. Formulate real world problems into corresponding solvable abstract representations.
3. Collect, process and cleanse raw data from a wide variety of sources.
4. Evaluate the practicality of SOTA ML/DL algorithms and implement corresponding methods using real-world data.
5. Test-Driven Development (TDD) throughout the development process.
6. Integrate machine learning product into PEGAAi.
7. Track product performance in the field and drive continual performance improvements.

Job Requirement

• Good communication skills.
• Master’s degree in Computer Science, Electrical Engineering, Statistics, or a related technical field, or equivalent practical experience.
• Familiarity with Generative AI and Multimodal Foundation Models is a plus.
• Proficient programming skills in Python (additional proficiency in C, C++ is a plus).
• Familiarity with machine learning tools such as PyTorch and TensorFlow.
• Minimum 1-2 years of hands-on experience in data science and machine learning-related projects.

返回頂端