華晶科技股份有限公司

1. Global Business Development • Proactively identify and engage with potential B2B customers in key markets (U.S., Japan, Europe, SE Asia, Middle East). • Lead customer pitching, technical consultation, and business model alignment (ODM, JDM, NRE-based models). • Represent Altek’s capability in AI camera, biometric imaging, and system integration solutions. 2. Account & Project Ownership • Act as the primary business contact for international clients, ensuring alignment across specifications, cost targets, schedules, and deliverables. • Coordinate closely with internal teams (PM, R&D, QA, operations) throughout the ODM project lifecycle. • Manage RFQ/RFP processes, NRE negotiations, and commercial contract finalization. 3. ODM Operations Familiarity • Demonstrate strong understanding of ODM workflows, including customer engagement process, design-to-manufacturing flow, supply chain collaboration, and volume production logistics. • Align product customization and modularization strategies with customer roadmap. 4. Commercial Strategy & Execution • Structure competitive proposals based on BOM breakdown, tooling cost, and regional pricing models. • Negotiate key commercial terms such as MOQ, lead time, IP rights, and payment conditions. 5. Market Intelligence & Customer Insights • Analyze market trends, regional regulations, competitor activities, and customer behavior. • Provide strategic input to internal teams on product positioning and go-to-market plans.

1. 主導專案開發流程（從 Kick-off 到量產） 從客戶需求定義、設計評審、樣品驗證、量產導入，完整負責專案時程與里程碑管理，確保專案如期、如質交付。 2. 主導客戶技術與商務需求整合 包含規格定義（Spec-in）、成本控管、交期排程、品質與安規要求、驗證流程協調，以及持續優化開發流程與專案管理效能。 3. 跨部門協同與外部對接 • 內部：協調 RD、QA、ME、製造與採購部門，統籌開發計劃與樣品進度；主導 PRD/RFQ 建置、專案會議。 • 外部：與客戶、SI、原廠 SoC/Sensor 夥伴溝通技術需求、合作模式建構。 4. 具備 ODM/JDM 業務模式理解與產製導入經驗 熟悉國際品牌代工流程與客製化產品開發邏輯，能掌握 ODM 專案獲利關鍵點，包括 BOM 成本拆解、NRE 採購與交期風險控管。 5. 協助並執行新客戶/專案開發策略 協助業務與 BD 團隊推進新客戶開發，針對已導入專案進行橫向擴展規劃，並從模組選型、解決方案、驗證流程等面向導入規模化策略。

Responsibilities: 1. Develop and optimize image processing algorithms, including but not limited to image segmentation, enhancement, feature extraction, etc. 2. Apply generative AI techniques (e.g., GANs) to create and improve image/video. 3. Design and implement deep learning models, conducting experiments and fine-tuning to improve image processing and performance. 4. Collaborate with cross-functional teams to apply AI technologies to real-world business problems. 5. Stay updated with the latest AI research trends and explore how cutting-edge technologies can be applied to company products. 6. Write efficient, maintainable code and produce technical documentation and reports. Qualifications: 1. Master’s degree or higher in Computer Science, Electrical Engineering, Mathematics, or a related field. 2. Proficiency in image processing techniques such as image enhancement, feature detection, segmentation, and filtering. 3. Strong understanding and practical experience with generative AI technologies. 4. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and practical experience with these tools. 5. Proficiency in Python programming, capable of efficiently developing and deploying AI models. 6. Strong data processing and analysis skills, with experience using tools like NumPy, OpenCV, etc. 7. Strong mathematical foundation, especially in machine learning and computer vision. 8. Good teamwork and communication skills.