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Open nowPosted 23 days ago

具身智能仿真平台 Agent 工程师

xiaopeng/index1,577 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen now具身智能仿真平台 Agent 工程师xiaopeng/index · Shenzhen, Guangdong, Chinese Mainland

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 23 days ago

The posting

职位描述

面向环境交互 Agent、评测 Agent、仿真框架与场景生成等方向招聘，根据个人专长承担其中一至两个方向。

我们正在为人形机器人构建一个能够感知、行动和交互的虚拟世界。在这里，机器人需要理解人的需求，穿行于动态环境，操作物体，并与人类角色和其他机器人协作；世界也会随着它的行为发生变化。

你将参与连接机器人软件、多智能体、三维场景与模型评测的平台建设，与机器人算法、世界模型和基础设施团队协作，把新的模型与生成能力变成可运行的交互环境，让机器人在走进真实世界之前经历更丰富的任务与考验。

工作方向

根据你的专长，重点负责以下一至两个方向：

1. 仿真引擎与平台架构：建设连接机器人与虚拟世界的运行框架，让机器人通过与真机一致的感知和控制接口完成任务；设计世界状态、时钟同步、运行隔离与回放机制，支持从本地调试到云端评测的开发流程。 2. 多智能体与自主交互：为仿真环境中的虚拟人物和其他机器人构建感知、推理、规划、对话与协作能力，使其能够围绕任务目标自主行动、主动发起交互，并对被测机器人的行为作出动态响应；探索大模型驱动的环境演化与任务生成，构建丰富、可控、可复现的交互场景。 3. Agentic Real-to-Sim 与资产生成：构建从真实场景与任务需求到可交互仿真环境的自动化流程，让 Agent 理解图像、视频、扫描数据和自然语言，自主规划并调用三维重建、资产检索、生成与编辑工具，完成场景还原、物体分解、语义与可交互属性配置，以及任务场景扩展；结合几何、碰撞和物理可用性检查迭代修复，通过实测数据与人工复核校验关键属性，建设相机与视觉传感器仿真、渲染及成像一致性能力，为机器人提供接近真实环境的视觉输入。 4. 评测 Agent 与自动化分析：与算法团队设计任务与指标，构建能够根据测试目标生成场景与用例、调用仿真工具执行任务的评测 Agent；结合运行日志、视频和机器人状态分析失败原因、比较模型版本，自动生成附带过程证据的评估报告，并探索由失败案例驱动的测试扩展与持续回归。指标计算由评测工具完成，Agent 负责调用与分析，主观评价及复杂归因支持人工复核。 5. 自动化与规模化运行：将复杂任务沉淀为可重复执行的实验，建设运行监控、异常诊断和回归能力，协同基础设施团队提升评测吞吐与稳定性，让新模型和新场景能够持续进入验证流程。

职位要求

1. 本科及以上学历，计算机、软件工程、机器人、自动化等相关专业。 2. 熟练掌握 C++ 或 Python，具备良好的软件设计和调试能力，能够独立完成模块开发与交付。 3. 在以下任一方向有实际项目经验：仿真或游戏引擎、机器人软件、多智能体或 Agent 系统、三维图形与场景工具、模型评测或自动化测试开发。 4. 能将复杂需求拆解为清晰的接口和模块，关注系统的可扩展性与稳定性，能够通过实验、日志和数据定位问题。 5. 对具身智能和交互式虚拟世界有兴趣，愿意与算法及其他工程团队协作，将探索性方案做成可持续使用的平台能力。

加分项

  • 熟悉 Isaac Sim、Unity、Unreal Engine 等引擎，或有 ROS/ROS 2、设备通信、音视频及实时系统经验。
  • 有大模型 Agent、工具调用、记忆与规划、多智能体协作或游戏 AI 开发经验。
  • 有 USD 资产流水线、相机与成像仿真、具备三维重建、3D Gaussian Splatting（3DGS）、三维生成（3DGen）、程序化场景生成或物理渲染中至少一个方向的经验者优先；有将重建与生成资产接入物理仿真环境的经验者优先。
  • 有评测 Agent、自动化测试生成、多模态日志与视频分析、评估报告生成经验，或有机器人及模型评测、实验管理与回归工具开发经验。
  • 有视觉语言动作模型（VLA）的应用、部署或评测经验，熟悉机器人操作任务的测试设计、效果评估与失败分析。

欢迎机器人软件、游戏引擎、图形学、3D重建/生成、Agent 开发和测试开发背景的候选人。你可以从擅长的方向切入，参与构建机器人与虚拟世界交互的核心能力。

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