具身智能平台研发工程师（仿真工程方向）
Tencent
具身智能平台研发工程师（仿真工程方向）
Job Description
具身智能平台研发工程师（仿真工程方向）
📋 Job Overview
The Embodied Intelligence Platform R&D Engineer (Simulation Engineering Direction) at Tencent focuses on developing advanced simulation environments for multimodal robots using tools like NVIDIA Isaac Sim, MuJoCo, and Gazebo. The role involves designing physical engine frameworks, implementing Sim2Real pipelines, and leveraging cloud resources for scalable parallel simulations to enhance robot learning efficiency. Additionally, it includes creating user-friendly simulation services and visualization tools to support algorithm development and validation.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.设计并实现高效的物理引擎交互框架，支持刚体/柔体动力学、传感器模拟（视觉、力觉、触觉）、及动态环境建模；
3.开发虚实迁移（Sim2Real/Real2Sim）pipeline，通过域随机化、动力学参数辨识、传感器噪声建模等技术，缩小仿真与真实世界的差距；构建自动化仿真-实机对标系统，持续优化仿真模型的精度与可靠性；
4.利用云端分布式计算资源，实现大规模并行仿真，支持强化学习、模仿学习等算法的训练与评估；探索“仿真-训练-部署”闭环系统，提升机器人技能学习的效率与泛化能力；
5.开发开箱即用的一键仿真服务及可视化调试工具，降低算法工程师的使用门槛；支持通过VR/遥操作设备在仿真环境中进行数据采集与算法验证。
🎯 Key Responsibilities
- 基于主流仿真工具（如NVIDIA Isaac Sim、MuJoCo、Gazebo等），搭建并优化面向多模态机器人（机械臂、人形机器人、移动平台等）的云端仿真环境
- 设计并实现高效的物理引擎交互框架，支持刚体/柔体动力学、传感器模拟（视觉、力觉、触觉）、及动态环境建模
- 开发虚实迁移（Sim2Real/Real2Sim）pipeline，通过域随机化、动力学参数辨识、传感器噪声建模等技术，缩小仿真与真实世界的差距；构建自动化仿真-实机对标系统，持续优化仿真模型的精度与可靠性
- 利用云端分布式计算资源，实现大规模并行仿真，支持强化学习、模仿学习等算法的训练与评估；探索“仿真-训练-部署”闭环系统，提升机器人技能学习的效率与泛化能力
- 开发开箱即用的一键仿真服务及可视化调试工具，降低算法工程师的使用门槛；支持通过VR/遥操作设备在仿真环境中进行数据采集与算法验证
🛠️ Required Skills
- Proficiency in mainstream simulation tools such as NVIDIA Isaac Sim, MuJoCo, Gazebo
- Experience with physical engine interactions including rigid/soft body dynamics, sensor simulation (vision, force, tactile), and dynamic environment modeling
- Knowledge of Sim2Real/Real2Sim pipelines, domain randomization, dynamics parameter identification, and sensor noise modeling
- Skills in cloud distributed computing for large-scale parallel simulations
- Familiarity with reinforcement learning, imitation learning, and robot skill learning optimization
- Development of simulation services, visualization tools, and support for VR/remote operation
Locations
- Shenzhen, China
Salary
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in mainstream simulation tools such as NVIDIA Isaac Sim, MuJoCo, Gazebointermediate
- Experience with physical engine interactions including rigid/soft body dynamics, sensor simulation (vision, force, tactile), and dynamic environment modelingintermediate
- Knowledge of Sim2Real/Real2Sim pipelines, domain randomization, dynamics parameter identification, and sensor noise modelingintermediate
- Skills in cloud distributed computing for large-scale parallel simulationsintermediate
- Familiarity with reinforcement learning, imitation learning, and robot skill learning optimizationintermediate
- Development of simulation services, visualization tools, and support for VR/remote operationintermediate
Responsibilities
- 基于主流仿真工具（如NVIDIA Isaac Sim、MuJoCo、Gazebo等），搭建并优化面向多模态机器人（机械臂、人形机器人、移动平台等）的云端仿真环境
- 设计并实现高效的物理引擎交互框架，支持刚体/柔体动力学、传感器模拟（视觉、力觉、触觉）、及动态环境建模
- 开发虚实迁移（Sim2Real/Real2Sim）pipeline，通过域随机化、动力学参数辨识、传感器噪声建模等技术，缩小仿真与真实世界的差距；构建自动化仿真-实机对标系统，持续优化仿真模型的精度与可靠性
- 利用云端分布式计算资源，实现大规模并行仿真，支持强化学习、模仿学习等算法的训练与评估；探索“仿真-训练-部署”闭环系统，提升机器人技能学习的效率与泛化能力
- 开发开箱即用的一键仿真服务及可视化调试工具，降低算法工程师的使用门槛；支持通过VR/遥操作设备在仿真环境中进行数据采集与算法验证
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Answer 10 quick questions to check your fit for 具身智能平台研发工程师（仿真工程方向） @ Tencent.
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具身智能平台研发工程师（仿真工程方向）
Tencent
具身智能平台研发工程师（仿真工程方向）
Job Description
具身智能平台研发工程师（仿真工程方向）
📋 Job Overview
The Embodied Intelligence Platform R&D Engineer (Simulation Engineering Direction) at Tencent focuses on developing advanced simulation environments for multimodal robots using tools like NVIDIA Isaac Sim, MuJoCo, and Gazebo. The role involves designing physical engine frameworks, implementing Sim2Real pipelines, and leveraging cloud resources for scalable parallel simulations to enhance robot learning efficiency. Additionally, it includes creating user-friendly simulation services and visualization tools to support algorithm development and validation.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.设计并实现高效的物理引擎交互框架，支持刚体/柔体动力学、传感器模拟（视觉、力觉、触觉）、及动态环境建模；
3.开发虚实迁移（Sim2Real/Real2Sim）pipeline，通过域随机化、动力学参数辨识、传感器噪声建模等技术，缩小仿真与真实世界的差距；构建自动化仿真-实机对标系统，持续优化仿真模型的精度与可靠性；
4.利用云端分布式计算资源，实现大规模并行仿真，支持强化学习、模仿学习等算法的训练与评估；探索“仿真-训练-部署”闭环系统，提升机器人技能学习的效率与泛化能力；
5.开发开箱即用的一键仿真服务及可视化调试工具，降低算法工程师的使用门槛；支持通过VR/遥操作设备在仿真环境中进行数据采集与算法验证。
🎯 Key Responsibilities
- 基于主流仿真工具（如NVIDIA Isaac Sim、MuJoCo、Gazebo等），搭建并优化面向多模态机器人（机械臂、人形机器人、移动平台等）的云端仿真环境
- 设计并实现高效的物理引擎交互框架，支持刚体/柔体动力学、传感器模拟（视觉、力觉、触觉）、及动态环境建模
- 开发虚实迁移（Sim2Real/Real2Sim）pipeline，通过域随机化、动力学参数辨识、传感器噪声建模等技术，缩小仿真与真实世界的差距；构建自动化仿真-实机对标系统，持续优化仿真模型的精度与可靠性
- 利用云端分布式计算资源，实现大规模并行仿真，支持强化学习、模仿学习等算法的训练与评估；探索“仿真-训练-部署”闭环系统，提升机器人技能学习的效率与泛化能力
- 开发开箱即用的一键仿真服务及可视化调试工具，降低算法工程师的使用门槛；支持通过VR/遥操作设备在仿真环境中进行数据采集与算法验证
🛠️ Required Skills
- Proficiency in mainstream simulation tools such as NVIDIA Isaac Sim, MuJoCo, Gazebo
- Experience with physical engine interactions including rigid/soft body dynamics, sensor simulation (vision, force, tactile), and dynamic environment modeling
- Knowledge of Sim2Real/Real2Sim pipelines, domain randomization, dynamics parameter identification, and sensor noise modeling
- Skills in cloud distributed computing for large-scale parallel simulations
- Familiarity with reinforcement learning, imitation learning, and robot skill learning optimization
- Development of simulation services, visualization tools, and support for VR/remote operation
Locations
- Shenzhen, China
Salary
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in mainstream simulation tools such as NVIDIA Isaac Sim, MuJoCo, Gazebointermediate
- Experience with physical engine interactions including rigid/soft body dynamics, sensor simulation (vision, force, tactile), and dynamic environment modelingintermediate
- Knowledge of Sim2Real/Real2Sim pipelines, domain randomization, dynamics parameter identification, and sensor noise modelingintermediate
- Skills in cloud distributed computing for large-scale parallel simulationsintermediate
- Familiarity with reinforcement learning, imitation learning, and robot skill learning optimizationintermediate
- Development of simulation services, visualization tools, and support for VR/remote operationintermediate
Responsibilities
- 基于主流仿真工具（如NVIDIA Isaac Sim、MuJoCo、Gazebo等），搭建并优化面向多模态机器人（机械臂、人形机器人、移动平台等）的云端仿真环境
- 设计并实现高效的物理引擎交互框架，支持刚体/柔体动力学、传感器模拟（视觉、力觉、触觉）、及动态环境建模
- 开发虚实迁移（Sim2Real/Real2Sim）pipeline，通过域随机化、动力学参数辨识、传感器噪声建模等技术，缩小仿真与真实世界的差距；构建自动化仿真-实机对标系统，持续优化仿真模型的精度与可靠性
- 利用云端分布式计算资源，实现大规模并行仿真，支持强化学习、模仿学习等算法的训练与评估；探索“仿真-训练-部署”闭环系统，提升机器人技能学习的效率与泛化能力
- 开发开箱即用的一键仿真服务及可视化调试工具，降低算法工程师的使用门槛；支持通过VR/遥操作设备在仿真环境中进行数据采集与算法验证
Tags & Categories
Answer 10 quick questions to check your fit for 具身智能平台研发工程师（仿真工程方向） @ Tencent.
Related Books and Jobs