公司簡介
Diodes Incorporated (美商達爾集團,Nasdaq:DIOD) 是標準普爾小型股 600 指數和羅素 3000 指數成員公司,為高品質應用特定標準產品全球製造商與供應商,產品涵蓋廣泛領域,包括分離、邏輯、類比及混合訊號半導體市場。Diodes 亦為汽車、工業、運算、消費性電子及通訊等市場提供服務。
Diodes 的產品包括二極體、整流器、電晶體、MOSFET、GPP橋、GPP整流器、保護裝置、特定功能陣列、單閘極邏輯、放大器與比較器、霍爾效應與溫度感測器、電源管理設備,包括AC-DC 轉換器與控制器、DC-DC 開關與線性穩壓器,以及電壓參考與LED驅動器;以及特殊功能裝置,例如 USB 電源開關、負載開關、電壓監控器及馬達控制器。Diodes 亦提供高速信號的定時、連接、開關與信號完整性解決方案。
Diodes 公司總部及美洲銷售辦公室位於美國德州普拉諾 (Plano) 與加州米爾皮塔斯 (Milpitas)。設計、行銷與工程中心位於普拉諾、米爾皮塔斯、臺北、桃園、新竹、上海、揚州、英國奧爾德姆及德國紐豪斯 。Diodes 的晶圓生產設施位於美國緬因州南波特蘭;英國格林諾克奧爾德姆;中國上海和無錫;還有基隆和新竹。Diodes 在中國上海、濟南、成都、無錫、中壢和基隆以及德國紐豪斯設有組裝與測試設施。另外在多個據點設有工程、銷售、倉儲及物流辦公室,包括臺北、香港、上海、深圳、武漢、揚州;英國奧爾德姆;南韓城南市以及德國慕尼克、法蘭克福,並於世界各地設有支持辦公室。
公司生產設施已通過國際公認標準ISO-9001:2015、ISO 14001:2015和IATF16949:2016的品質認證。
Diodes 公司目前擁有 C-TPAT 認證。
上述品質獎反映 Diodes 公司優異的品管技術,並進一步提升我們在重視品質與一致性的 OEM 業者心目中極佳廠商的地位。
「響應參與【產學研工程人才實務能力卓越基地計畫】工程人才網路就業媒合平台」IDBET_104
主要商品 / 服務項目
美商達爾集團聚焦於以下幾個領域中高成長的終端用戶應用的市場:
汽車:連接式駕駛、舒適/風格/安全和電動/動力總成
工業:嵌入式系統、精密控制和工業物聯網
運算:雲計算,包括伺服器、存儲和數據中心應用
消費電子:物聯網、可穿戴裝置、家庭自動化和智能基礎設施
通訊:智能手機、5G 網絡、高級協議規範和充電解決方案。
公司地址:231 新北市新店區民權路50號7樓
聯絡電話1:0289146000#66197
聯絡電話2:NA
電子郵件:Emma_Kuo@diodes.com
公司網址:http://www.diodes.com
公司傳真:NA
統一編號:
員工人數:1200
資本額:暫不透露
公司負責人:趙進
1. 善薪酬制度:年度調薪、績效獎金與年終獎金
2. 節慶關懷福利:三節、勞動節與生日禮券
3. 全面保險保障:全額補助團體保險(含員工、配偶與子女)
4. 健康照護優於法規:定期健康檢查與彈性休假制度
5. 長期激勵機制:績優員工可獲那斯達克上市公司限制型股票
6. 持續學習成長:完整內、外部教育訓練與專業發展資源
1.依績效表現與專業能力提供晉升機會
2.定期績效評核
0~5人看過
面議(經常性薪資達 4 萬元或以上)
JOB SUMMARY: As Product Engineer, you will lead and drive new product development team to support new product business analysis, to manage project schedule, to control development cost, and to assure product quality and reliability. Be responsible for product verification, characterization, qualification, and releasing to production. Coordinate wafer fabs, assembly and test sites, and subcontractors to develop and release new products to market on time. ESSENTIAL DUTIES: • Lead and drive new product / new technology development activities from concept to production. • Capable of leading project team, planning and tracking project activities, and completing projects on schedule. • OSAT project follow up and management. • Conduct regular meetings with wafer fab, assembly and test sites, and external vendors to resolve issues. • Team with FAEs, marketing, and sales to define new product specifications, to perform product competitive benchmark, and to support business analysis. • Sustain existing products for production low yield disposition, yield improvement, field failure returns, customer data requests, and engineering change requests • Direct or perform product characterization and testing at engineering lab when needed. • Report projects status to managers on a regular basis • Other duties as assigned. OTHER SKILLS: • BSEE or Equivalent, 1 – 3 years’ experience in semiconductor as a Product Engineer or similar position • MSEE or similar MS degree preferred, but not required • Knowledge of discrete semiconductor physics, semiconductor wafer and assembly processes and testing • Experience with general product and package qualification requirements • Excellent communication skills, verbal and written, including presentations • Team player and independent contributor taking full ownership and responsibilities • Project management skills and knowledge • Self-managed, self-starter, and a proactive problem solver • Efficient time management skills, good work ethics • Proficient in Microsoft Office Environment • Ability to travel up to 10% including protracted trips overseas
0~5人看過
面議(經常性薪資達 4 萬元或以上)
Key responsibilities • Data Analysis & Insight Generation - Execute end-to-end analysis: Perform data analysis for special projects and routine activities, moving from raw data to actionable insights that directly influence management decisions. - Predictive Modeling: Contribute to machine learning modeling (supervised and unsupervised) and develop advanced prototypes to solve complex enterprise problems. - Statistical Application: Apply advanced mathematical and statistical skills to analyze operational performance and identify trends or anomalies. • Reporting & Visualization - Build Dashboards: Develop and maintain interactive dashboards using curated data in the big data lake warehouse solution to monitor key performance indicators (KPIs). - Automation: Streamline and automate data gathering and reporting methodologies to replace manual processes and increase efficiency. • Executive Presentation: Present your findings and analysis results clearly to the leadership team, explaining the \\\"why\\\" behind the data. • System & Strategic Support - Query Operations: Directly query data warehouses using SQL-like languages to extract the necessary information for projects. - Supply Chain Transformation: Support the broader strategy of digital transformation within the supply chain by working with global planning and sales Preferred Skills • Experience with software development (R, Python, Java), data wrangling/munging (SQL), data analytics workflows (Jupyter Notebook), machine learning, and data visualization (Tableau etc). • Coursework in machine learning (supervised and unsupervised), mathematics, statistics, computer applications, software engineering, and networking. • Ability to query data sources directly using SQL-like query languages from data warehouse. • Ability to develop dashboards using curated data • Understand Business vision and ability to support strategy and business teams. • Passion for developing efficient, testable and scalable analytics algorithms. • Familiar with big data analytics tools and distributed systems a plus • Ability to contribute to machine learning modeling and design and develop advanced prototypes. Excellent analytical, problem solving and organizational skills. • Ability to work in a team environment and a professional environment. • Knowledge of cloud technologies a plus. (Databricks, Snowflake) • Experience in developing data science/AI models a plus • Domain knowledge in Supply Chain, Finance and Sales a plus. Opportunity • Work with a set of highly motivated individuals driving business decision making • with the use of the right cutting edge technology • Present to higher management with a focus on data analysis and insights Performance Objectives • Utilize data analysis and statistical skills on various supply chain projects and activities. • Work with Global teams to understand the problem and partner on providing solutions. • Perform data analysis activities for special projects • Analyze data and provide actionable insights that drive decisions • Automate and streamline data gathering and reporting methodologies • Present results to the leadership team to explain your analysis findings
0~5人看過
面議(經常性薪資達 4 萬元或以上)
Key Responsibilities: - Reviews and completion of 8D reports for technical customer returns. - May occasionally need to support internal or external customer quality audits. - Manage assigned customer quality issues and ensure they can be resolved in an efficient & timely manner. - Work with internal teams to establish root cause & appropriate short/long term corrective actions. - Drive & follow up continuous improvement programs with related parties. - Review internal 8D FAR and work out customer reports. - Effectively communicate customer quality issues with internal & external teams. - Work with customers to keep their production line running before completing 8D FAR. - Coordinate customer audit and conduct preaudit to the responsible A/T sites or FAB. - Support customer product survey, inquiry, qualification/approval documents. - Onsite customer support upon requests - Provide backup supports within Customer Quality team.
0~5人看過
面議(經常性薪資達 4 萬元或以上)
Job description: • Order entry /pull in/push out • Backlog management • MRP/Schedule update • Shipment arrangement • RMA/Discount • Customer survey/PPAP application • CCR application • Sample application • Quotation application • Report consolidation and analysis • AR tracking
0~5人看過
面議(經常性薪資達 4 萬元或以上)
在我們公司,Planner 是串連 Design、FAB 與 AT 的關鍵角色。 你將整合研發、業務與製造資源,實際決定一顆 IC 從 wafer 投片到最終出貨運輸完成的整體節奏與優先順序,直接影響產品量產時程與客戶交付。 【你會做的事情】 規劃並協調 FAB 與 AT 的整體產能配置與生產節奏 管理 wafer out → assembly → test → shipping 的 end‑to‑end 生產流程 分析製程瓶頸、cycle time 與產能限制,提出可行的最佳化與改善方案 與 製程、製造、RD、Marketing 等單位密切合作,整合需求與變動