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Caterpillar Inc.

Autonomy Simulation Engineer – World Sim

Caterpillar Inc.

. 基于3D Gaussian Splatting(3DGS)、NeRF等神经渲染技术,构建高精度三维数字场景 .

Posted 11/4/2026full-timeWuxi • ChinaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in 3D Gaussian Splatting, NeRF, and computer vision principles to develop high-precision 3D digital scenes and simulation environments. Proficient in Python and PyTorch, with a strong foundation in data structures and algorithms, supporting advanced AI applications in simulation and decision-making.

Highest-signal resume keywords
3D Gaussian SplattingNeRFPython ProgrammingPyTorch FrameworkComputer Vision

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
3D ReconstructionMulti-View GeometrySLAMData StructuresAlgorithms
Soft Skills
Learning AbilityTechnical Research SkillsCommunicationTeam Collaboration
Tools & Technologies
Linux Development EnvironmentGenerative AIFoundation ModelsReinforcement Learning
Industry Keywords
Vision-Language-ActionEmbodied AIWorld ModelSimulation Environment Development

Tech Stack

Tools & technologies
LinuxPythonPyTorch

About the role

Key responsibilities & impact
  • 基于3D Gaussian Splatting(3DGS)、NeRF等神经渲染技术,构建高精度三维数字场景
  • 将真实矿山、施工现场及道路环境快速迁移至仿真平台
  • 优化场景重建质量、渲染效率及场景资产管理流程
  • 参与Vision-Language-Action(VLA)模型研发与训练
  • 探索自然语言驱动的智能体行为生成方法
  • 支持仿真环境中的任务理解、决策执行及行为评估
  • 参与世界模型(World Model)设计与实现
  • 构建环境动态预测能力,支持场景演化模拟与长时序决策推理
  • 探索基于大模型的环境理解与未来状态预测方法
  • 开发自动化数据生成工具链
  • 建设闭环仿真验证体系,支持感知、规划和控制算法的大规模测试验证
  • 参与仿真场景开发、数据管理及测试结果分析
  • 跟踪并研究Generative AI、Foundation Models、Reinforcement Learning等前沿技术
  • 探索AI技术在场景生成、驾驶行为建模及智能体训练中的应用
  • 将最新研究成果快速落地到实际业务场景

Requirements

What you’ll need
  • 2027届硕士及以上学历(优秀本科生亦可)
  • 计算机科学、人工智能、自动化、机器人、数学、电子工程等相关专业
  • 熟悉计算机视觉基础理论
  • 了解3D重建、多视图几何、SLAM或神经渲染相关技术
  • 熟悉NeRF、3DGS等技术者优先
  • 了解世界模型及世界模型在仿真中的应用
  • 了解Transformer、LLM、VLM等基础架构
  • 对VLA、Embodied AI、具身智能方向有浓厚兴趣
  • 具备仿真环境开发经验者优先
  • 熟练掌握Python
  • 熟悉PyTorch深度学习框架
  • 具备良好的数据结构与算法基础
  • 具备Linux开发环境使用经验
  • 良好的学习能力和技术钻研能力
  • 对前沿AI技术保持持续关注和探索热情
  • 良好的沟通协作能力和团队合作精神
  • 具备阅读英文技术文献和论文的能力