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Open nowPosted 101 days ago

【2027届秋招】AI 应用开发工程师（游戏性能与研发效能方向）

moonton/campus92 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【2027届秋招】AI 应用开发工程师（游戏性能与研发效能方向）moonton/campus · Shanghai, Chinese Mainland

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. moonton/campus postings stay open a median of 15 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 101 days ago

moonton/campus median: 15 days open

The posting

面向大型移动游戏，建设 AI 驱动的性能工程体系。你将把大模型、Agent、数据分析和工程工具接入游戏研发流程，围绕内存、卡顿、功耗建立“提前发现回归—快速定位根因—持续挖掘优化机会”的闭环。 岗位不以模型训练或性能报表为主：一方面通过自动化防守降低高频版本的性能回归风险，另一方面从线上数据、调用堆栈、代码和资源中挖掘优化机会。 岗位职责 1. 参与游戏性能分析平台建设，将 RAG、Agent、Tool Calling 等能力接入代码、性能数据、测试任务和研发知识库。 2. 建设提交、每日巡检、版本准入和线上灰度等性能防线，实现风险识别、测试推荐、异常检测、回归归因和告警自动化。 3. 分析性能指标、Profiler、调用堆栈、日志和版本变更，辅助定位代码、资源、配置、SDK 或引擎问题。 4. 从线上数据和历史案例中挖掘高收益优化点，围绕 GC、资源生命周期、渲染、脚本和线程耗时开展实验与收益验证。 5. 建设可评估、可观测、可回溯的 AI 工作流，并将分析经验沉淀为规则、工具和知识。 6. 与客户端、引擎、测试、数据及业务团队协作，推动分析结论落地和同类经验复用。

1. 计算机、软件工程、人工智能等相关专业，本科及以上学历。 2. 具备良好的 Python 以及 C++、C# 中至少一种语言的编程和系统集成能力。 3. 熟悉游戏研发流程和 Unity、Unreal 等主流游戏引擎，有实际游戏开发经历。 4. 有 Agent、LLM 应用或研发效能工具实践，理解 Prompt、Tool Calling、RAG 等技术。 5. 熟练使用 Codex、Claude Code 等 AI 编程工具，能够独立完成原型或工具开发。 6. 具备问题抽象、数据验证和跨策划、美术、程序、QA 协作能力，对游戏性能优化有浓厚兴趣。 加分项 - 有 AI 应用、代码分析或研发工具相关项目、实习或竞赛经历。 - 接触过 Spark、Presto/Trino、ClickHouse 等数据工具，或有大规模日志分析经验。 - 了解 Android、iOS 移动端开发，有完整游戏项目或 Game Jam 经历。 - 使用过 Unity Profiler、Memory Profiler、Perfetto、Simpleperf 等性能工具。 - 有大规模日志分析经验，或在 GC、内存、渲染、资源、帧率、功耗等方向有实践。 你将获得 - 参与大型移动游戏从研发提交、自动测试到线上运行的完整性能链路。 - 将 AI 从原型落地到生产流程，学习工具、评测和工程闭环建设。 - 在导师指导下参与真实问题定位与优化，建立游戏客户端、数据和 AI 应用的交叉能力。 - 面向明确业务结果工作：更早发现回归、更快定位根因，并取得可量化的优化收益。

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