崗位職責：1.負責公司無人駕駛系統關鍵基礎模塊開發；2.負責關鍵軟件模塊的性能優化以及產品化改進；3.參與軟件架構的實現；崗位要求：1.本科及以上學歷，計算機相關專業，三年以上C/C++開發經驗；2.熟練掌握Makefile，cmake，有一定的編譯優化經驗；3.sse/neon指令加速經驗，深入了解CUDA原理，熟練使用CUDA編程；4.熟練掌握git，以及常用測試框架，如 googletest pytest；5.有插件類型框架軟件開發經驗，熟練使用各類性能分析工具，對多線程、軟件性能優化等有較深入的研究和積累；6.了解 ROS/ROS2 框架者及dds&mqtt等類似通訊中間件開發經驗者優先；7.有多媒體處理如gstreamer相關經驗者優先；8.有良好的編程習慣，熟悉常用的數據結構及算法，熟悉設計模式。

上海西井科技股份有限公司（簡稱西井科技WESTWELL），致力于以人工智能激活多產業潛能，做全球智能服務業的開疆者。西井科技是目前為止中國首批基于正向自研無人駕駛重卡的公司，也是在全球范圍商業交付無人駕駛車輛及系統超過數百套規模的公司，場景已覆蓋海港、陸港、制造工廠等貨運物流，產品及服務已落地全球18個國家和地區，服務160余家客戶。秉持“取智于人，賦能予人From Human To Human”的企業哲學，西井科技憑借獨特的應用場景理解能力，已形成以WellOcean?（海港）、鐵路樞紐、陸港、空港、工廠等代表的大物流領域多場景智能解決方案，通過Qomolo?（新能源無人駕駛及智能商用車），用運力串聯起各生產要素的運營與流轉，并通過構建Loopo?（數字化生產要素流轉互聯平臺），從生產節點、貿易流程等環節，為終端用戶創造更高效并可持續的生產力價值。Shanghai Westwell Technology Co., Ltd (“Westwell”) is committed to activating the potential of various industries through artificial intelligence, and to be the industry pioneer of global intelligent services.Westwell has been the leading company to independently develop autonomous heavy trucks, and also the company to deliver hundreds of autonomous vehicles and sets of autonomous driving systems commercially worldwide. Westwell’s products and services cover most freight logistics scenarios, such as seaports, dry ports, manufacturing plants, spanning 160-plus clients in 18 countries and regions around the world. Adhering to the company’s Value Concept “From Human to Human” and through its extraordinary insights, Westwell has developed multi-scenario intelligent solutions for the bulk logistics fields, including seaports (dedicated seaport solution — WellOcean?), railway hubs, dry ports, airports, and factories, etc. With Qomolo? (our autonomous new energy commercial vehicle brand), Westwell connects operation and circulation within various production factors with transport capacity. With the launch of Loopo? (our digital interconnection platform for production factors), Westwell is capable of delivering more efficient and sustainable productivity value for end users in every sector, such as production nodes and trading flow, etc.