全端與自動化工程師

職務說明：
1. 負責協助公司內部產品開發流程的智慧化與自動化
2. 提升 Digital Design Verification (DV) 的驗證效率與品質
3. 工作常與不同部門協調和討論需求，重視團隊溝通與合作，互相支援提醒

職務內容：
1. 開發與維護前後端系統、資料庫、API、自動化工具
2. 開發維護與內、外部系統工作流 & 資料流的串接
3. 與機器學習工程師及數位設計驗證 (DV) 工程師合作，開發客製化的應用程式或工作流程

職缺需求：
1. 熟悉 PHP、HTML、CSS、jQuery、JavaScript、MySQL
2. 熟悉 PERL 或 Python 3
3. 具 Docker、Kubernetes、Spark、Hadoop、Apache、AirFlow 者尤佳
4. 具備 LLM 觀念與應用開發經驗
5. 具 LangChain、LlamaIndex、vLLM 等 LLM Inference 框架使用經驗者尤佳
6. 具 Vector Database 開發經驗者尤佳
7. 具 AI Agentic Workflow 開發經驗者尤佳
8. 具 SystemVerilog、SVA、UVM、Design Verification 經驗者尤佳
9. 具 MLOps 經驗者尤佳
10. 具問題發現能力、問題分析能力、問題組織能力、問題解決能力、問題追蹤能力、溝通能力
11. Data Science、Data Engineering、Computer Science、Information Engineering、Electrical and Electronic Engineering、Physics 等相關科系畢業者佳

Position Overview:
1. Support the intelligentization and automation of the internal product development processes
2. Enhance the efficiency and quality of Digital Design Verification (DV)
3. Collaborate across departments to address requirements, with emphasis on team communication, cooperation, and mutual support

Key Responsibilities:
1. Develop and maintain front-end and back-end systems, databases, APIs, and automation tools
2. Develop and maintain integration with internal and external systems, workflows, and data flows
3. Collaborate with machine learning engineers and digital design verification (DV) engineers to develop customized applications and workflows

Qualifications:
1. Proficiency in PHP, HTML, CSS, jQuery, JavaScript, and MySQL
2. Proficiency in PERL or Python 3
3. Strong problem identification, analysis, organization, solving, and tracking abilities, along with excellent communication skills

Preferred Qualifications:
1. Experience with Docker, Kubernetes, Spark, Hadoop, Apache, or AirFlow
2. Understanding of LLM concepts and application development
3. Experience with LLM Inference frameworks (LangChain, LlamaIndex, vLLM)
4. Experience with Vector Database development
5. Experience with AI Agentic Workflow development
6. Experience with SystemVerilog, SVA, UVM, or Digital Design Verification (DV)
7. Experience with MLOps

Academic Background:
Data Science, Data Engineering, Computer Science, Information Engineering, Electrical and Electronic Engineering, or Physics-related fields.