Diagnostic軟體開發主管

1. uFEI BIOS porting 

2. BIOS debug

CESBG-產品線Server 

1. 伺服器BIOS軟體開發及維護 

2. 客戶規格審閱 

3. 專案問題分析及解決 

1.BIOS development engineering feasility estimation  

2.BIOS product specification definition  

3.BIOS engineering specification creation  

4.BIOS development  

5.BIOS debug and mantainance

1. HPC/AI 網路系統設定與管理 

2. HPC/AI 網路測試與佈署程式開發 

3. HPC/AI 網路效能分析 

3. HPC/AI 網路架構規劃

1. Server platform BMC development, validation, debugging. 

2. BMC requirements implementation and issues fixed. 

3. Project handle and collaborate with customer and cross-functional teams.

＜About this job＞ 

You will join an advanced artificial intelligence department as the need for Al model solutions rapidly grows. We are expanding our team and looking for a talented Full-Stack Engineer passionate about building highly interactive applications and scalable backend systems for various use cases and expanding their tech skillset in this world-class company. 

＜Job Description＞ 

As a Full-Stack Engineer, you will play a crucial role in designing, developing, and maintaining both the frontend and backend of our applications. You’ll be responsible for creating user-friendly web interfaces, developing robust backend APIs, and ensuring seamless deployment and service integration. If you‘re proactive, team-oriented, have strong problem-solving skills, and enjoy building reusable and scalable code, we’d love to meet you! 

＜Key Responsibilities＞ 

- Develop responsive and interactive frontend web applications using JavaScript and Vue.js. 

- Design and implement backend APIs to support frontend and other interfaces using Java, Python, and related technologies. 

- Build applications and schedule tasks based on client and project requirements. 

- Design and implement modular, high-flexibility components and scalable systems to maximize code reusability and adaptability. 

- Set up and configure essential services such as databases, NginX, and Docker environments. 

- Ensure smooth deployment processes by utilizing CI/CD concepts and automation. 

- Collaborate closely with team members to improve workflows and optimize the development cycle. 

＜Required Skills＞ 

- Frontend: Strong proficiency in JavaScript and Vue.js with experience in building dynamic and interactive UIs. 

- Backend: Solid understanding of Java and Python for API development. 

- Databases: Experience working with SQL (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB). 

- Software Design: Proven expertise in creating modular, reusable code with high adaptability and flexibility for scalability. 

- Tools and Technologies: 

。Docker and Git for containerization and version control. 

。NginX for web server configuration and management. 

。Familiarity with CI/CD concepts and automation techniques to streamline deployments. 

- Soft Skills: Strong communication skills and a team player, able to collaborate effectively across departments. 

- System Architecture: Understanding of distributed systems and hardware architecture concepts.

1. Manage team 

2. BIOS development planning and management 

3. Across function teams communication 

4. Customer relationship maintain 

5. Cultivate talents

1. 制定自動化設備視覺應用改進完善方案 

2. 視覺應用工作整體把控 

3. 機器視覺方案設計及可行性分析 

4. 自動化機器視覺算法設計及開發 

5. 與客戶檢討設備方案及驗證狀況改善推動 

6. 有良好的帶隊能力或專案驅動力

1. 伺服器BMC韌體設計開發 

2. 既有專案維護 

3. 跨單位技術上的溝通探討 

4. 了解客戶需求與熟悉產品規格

1. Embedded Linux development on ARM/MIPS SOCs.  

2. Linux technology and GNU tool chains. 

3. Experience of developing device drivers or kernel modules.  

4. Cloud Server, Storage Server, Data Center Server & Micro Server firmware development.

1. Lead the lead of firmware team for server project.  

2. Study technical issue for project‘s needs. 

3. Review & sign off requirement specification. 

4. Review engineer design. 

5. Review function/interface specification. 

6. Review bug fixing. 

7. Help the design and review the common definitions for debugging and profiling.

您將共同進行以下工作項目:  

1. DPU 韌體開發  

2. NVMe over RDMA系統分析與設計  

3. 分散式網路儲存系統效能優化  

4.開源軟體開發與測試  

5. Redfish API開發維護

1.BIOS development engineering feasility estimation  

2.BIOS product specification definition  

3.BIOS engineering specification creation  

4.BIOS development  

5.BIOS debug and mantainance

1. 伺服器BIOS軟體開發及維護 

2. 客戶規格審閱 

3. 專案問題分析及解決

工作內容： 

＜About the job＞： 

We‘re seeking AI/ML enthusiasts with experience and skills in working and are passionate about extending AI/ML expertise. The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the AI/ML engineer, you‘ll join the AI/Big Data Analytics program/projects of headquarter IT and assist in building the model/algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd). 

＜Job Type Option：＞  

*Type1: AI/ML Engineer (Engineering-Oriented)  

(1) Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements.  

(2) Building the model lifecycle from data exploration to feature engineering to model evaluation and validity analysis capabilities.  

(3) Execute efficient, scalable, automated processes for model development, model validation, and model implementation  

(4) Deploy the model to production and maintain/optimize the models by MLOps. 

(5) Experience in Azure Data Lake, Azure Databricks, and Azure Data Factory is preferred. 

(6) Experience in AWS SageMaker is preferred. 

*Type2: NLP AI Engineer 

(1) Focused on NLP Algorithm/Machine Learning & Deeping Learning for Text. 

(2) Develop the Algorithm of NLP(Natural Language Processing)/ Computational Linguistics/Text Mining/Topic Modeling 

(3) Join the project to build the end-to-end NLP systems, from understanding the requirements to selecting training datasets to model, evaluate, and deliver/deploy NLP models. 

(4) Fine-tune LLMs and optimize and resolve issues related to LLM usage in production scenarios, enhancing reliability, accuracy, and performance. 

*Type3: AI/ML Engineer (Analytics-Oriented) 

(1)Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. 

(2)Build the model lifecycle, e.g., from data exploration to feature engineering to model evaluation and validity analysis capabilities. 

(3)Execute efficient, scalable, automated processes for model development, model validation, and model implementation. 

(4)Apply quantitative methods including but not limited to above tasks to solve business problems. 

(5)Being passionate and patient about working with complex data 

＜Skills＞ 

．Type1 & 3 : AI/ML Engineer(Engineering-Oriented & Analytics-Oriented)  

(1)Familiarity with any one of Machine Learning, Statistical Modeling, Deep Learning (Nature Language/Image/Time Series) model/algorithm building of the practical application in the industry. 

(2) Being familiar with Python Libraries, e.g., Numpy, Pandas, Scikit-Learn, SciPy, Matplotlib, etc.  

(3)(For Engineering-Oriented) Knowledge of Big Data with Machine Learning/Statistical modeling related technologies such as Spark MLlib or PySpark or SparkR/SparklyR.  

(4)(For Analytics-Oriented) Knowledge of Deep Learning Framework such as TensorFlow/Caffe/Pytorch/Keras. 

．Type 2: NLP AI Engineer 

(1) Experience with text mining algorithms such as word segmentation, POS tagging, named entity recognition...etc.  

(2) Experience in algorithms and libraries of NLP(Natural Language Processing), especially in machine learning techniques applied to NLP, such as Text mining, Text classification, Information Extraction, Keyword Tagging, and content discovery. 

(3) Familiar with one general-purpose programming language (e.g., Python, Java, C/C++) 

(4) Experience manipulating and integrating unstructured, semi-structured, and structured data. 

(5) Excellent knowledge and demonstrable experience using open-source NLP packages such as NLTK, Word2Vec, Standford CoreNLP, SpaCy, and Gensim. 

(6) Knowledge of Open source LLMs, such as BERT, BLoom, LLaMA..., etc., and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX