公司人數:47
資本額:
地址:新竹市東區慈雲路118號6樓之2

洽詢電話: | 人力資源處

線上登錄履歷

擷發科技股份有限公司(MICROIP)一直致力於成為積體電路(IC)設計服務解決方案的全球領導業者。專精於高性能和低功耗的晶片設計與優化晶片效能分析服務,並透過專利尖端技術,為人工智慧 ( AI)、物聯網(IoT)、工業自動化、服務機器人、車用電子與電源管理等領域提供創新與高效的客製化解決方案。 擷發科技以其獨創的「無晶片設計模式」(Designless)理念,幫助系統廠商與需要客製化晶片廠商,無需具備深厚的半導體專業知識,即可透過擷發科技的服務進行自主晶片設計,大幅降低了晶片設計的入門門檻與所需投入的資源和進入市場的時程。

營業項目

Green IC Design Service, AI Software Design Service

應徵須知

薪資福利

團體保險、績效獎金、年度體檢、員工旅遊、活力補給站(點心/零食)



目前共有 2 個職缺類型

求才職稱資格條件工作內容待遇工作地點需求人數
AI演算法工程師

(理工科系職缺:不拘)

1. Proficiency in AI Frameworks
Extensive experience with AI frameworks such as TensorFlow, PyTorch, Keras, or similar and transformation between.
2. Good Programming Skills
Proficiency in Python and C++ languages and Linux programming. Familiarity with libraries like pandas, scikit-learn, and OpenCV is a plus.
3. Data Processing & Analysis
Good knowledge of data preprocessing, labeling and feature extraction for training AI models.
4. Network Communication
Knowledge of multimedia transmission on network protocol(TCPIP/RTSP).
5. Collaboration and Teamwork
Experience working in cross-functional teams and collaborating with non-technical teams to deliver AI solutions.



1. Model Development
Design, develop, and implement/convert AI models for various business applications.
2. Data Preprocessing
Clean, preprocess, and transform data into formats suitable for AI model training.
3. Algorithm Optimization
Evaluation, tuning and improve the performance of AI models in terms of accuracy, speed, and scalability, to achieve optimal results.
4. Integration and Deployment
Integrate AI models into production systems and ensure smooth deployment to customer's environments.
5. Documentation & Maintainance
Document AI stuff(processes/algorithms/results) for sharing and maintain commitments of projects.

面議 新竹市
東區慈雲路118號6樓之2
1
AI工程師

(理工科系職缺:)

1. Implementation and design for AI platform on embedded linux, Ubuntu and Windows such as image preprocess, AI model output postprocess and system integration.
2. Study certain AI models and open sources for feasibility study or research AI algorithms for industrial field.
3. Dataset collection and labeling and training AI model such as pytorch, tensorflow and caffe.



1. Familiar with Python, C/C++, Linux shell script.
2. Familiar with fundamental AI algorithm and computer vision knowledge.
3. Experience in deploying any kind of AI model and the ability of designing customized AI Runtime applications.
4. Experience for related AI dataset collection, labeling and AI model training.
5. Experience with operating, porting and implementing any opensource related for AI feasibility study or AI system performance verification and analytics on Linux/Ubuntu or Windows.
6. Must be passionate about new technologies and have a positive and innovative independent learning attitude.
7. Good communication skills and high sense of responsibility.

面議 新竹市
東區慈雲路118號6樓之2
1