{"id":1182852,"url":"https://alion.io/job/inbond-lectronics-takekita-i-olutions-ngineer-da-nfrastructure","title":"(竹北) AI Solutions Engineer-EDA & Infrastructure","company":{"id":62235,"name":"Winbond Electronics","domain":"winbond.com","url":"https://alion.io/company/winbond-electronics","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hsinchu, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":124000,"period":"year","method":null,"sample_n":2468},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWQ","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Gemma","optional":false},{"name":"GGUF","optional":false},{"name":"GitHub","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Ollama","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"Qwen","optional":false},{"name":"RAG","optional":false},{"name":"SFT","optional":false},{"name":"SLURM","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"vLLM","optional":false},{"name":"PEFT","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-09-02T00:00:00Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-09-24T22:34:15Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"作為華邦的(竹北) AI Solutions Engineer-EDA & Infrastructure ，你將開發並建構最佳化的設計流程，提供IC設計工程師最優良的電腦模擬環境。工作內容包含：\n工作內容\n1. 內部 AI 相關知識技能提升與推廣\n2. EDA Tool 地端 LLM 建立與使用推廣\n3. 系統 Log 智慧分析：開發 EDA Tool 執行 Log、系統 Error Log 與安裝日誌之 AI 自動診斷與 Parsing 工具\n4. 整合與復用AI 架構：導入 RAG 與 LLM API，建置 Layout Varification 專屬知識庫與維運助手\n5. 地端 Open LLM 微調與優化：針對內部工程與維運需求，於內網環境進行 Open LLM 之 Training / Fine-tuning (SFT, LoRA) 與量化部署\n工作地點：竹北辦公室(新竹縣竹北市文興路二段539號)\n聘僱性質：全職\n條件要求\n學歷要求：大學\n科系要求：電機電子工程相關 │ 資訊工程相關 │ 工程學科類(全部)\n相關經驗：不拘\n語言能力：英文 高級 │ │\n管理責任：No\n輪班需求：No\n出差需求：1個月以下\n外派需求：No\n其他條件：\n[必要條件]\n1. 熟悉 Python / Linux Shell Scripting (具備實務開發與系統自動化經驗)\n2. 具備地端/離線環境 (Offline/Air-gapped Environment) 之 Open Source LLM 部署與 RAG 實作經驗\n3. 具備系統資料處理解析能力 ( Log / Text / JSON / System Status Data )\n4. 具備實際專案經驗 ( GitHub / Side project / System tool )\n5. 能完成 end-to-end 系統 ( 從 Server Log/資料 → 地端 AI 模型/RAG → 自動化工具 )\n[加分條件]\n1. 離線/內網環境 LLM 訓練與微調經驗：具備在無外網環境下進行 Open Source LLM (如 LLaMA, Gemma, Qwen) 結合 RAG 之 Training / SFT / LoRA 實務經驗\n2. 伺服器與維運工具經驗：熟悉 Linux 伺服器管理、Slurm / LSF 資源調度工具、EDA License Server (FlexLM) 或相關 Server 管理工具\n3. 模型部署與在地化加速：熟悉 vLLM, Ollama, TensorRT-LLM 或模型量化 (Quantization / AWQ / GGUF) 技術\n4. EDA / CAD 背景：具備 Layout verification 工具實作流程如 DRC/LVS/LPE rule deck 基礎知識","description_format":"text","description_chars":1207,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Semiconductors","Storage"],"lifecycle":[{"event":"open","at":"2026-09-24T14:26:31Z"}],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.558,"p_room":0.55,"age_days":22,"expected_fill_days":20,"reasons":["conf:1","win:tail","comp:brand"],"computed_at":"2026-09-24T23:42:37Z"},"pay":null,"html_url":"https://alion.io/job/inbond-lectronics-takekita-i-olutions-ngineer-da-nfrastructure","json_url":"https://alion.io/job/inbond-lectronics-takekita-i-olutions-ngineer-da-nfrastructure.json","meta":{"generated_at":"2026-09-24T23:42:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1897,"day_limit":5000,"remaining_today":3103,"minute_limit":60,"resets_at":"2026-09-25T00:00:00Z"}}}