特斯拉尺寸公差工程师 Dimensional Engineer

THE ROLE Tesla Dimensional Team is responsible for establishing tolerance strategies to meet requirements and supporting Quality to ensure delivery of the targets. We are seeking a passionate team member to represent the Dimensional team and lead the initiatives at the Tesla Gigafactory 3 Shanghai. The candidate is responsible for ensuring that the design of all Tesla products are of the highest standards of dimensional precision. This enables high quality appearance, precise vehicle operation, and high-yield assembly processes either by humans or by robots. Candidates must demonstrate an exceptional analytical approach and be capable of developing statistical analysis software skills. They must have experience with fundamental data analysis techniques, be able to draw logical conclusions and make data driven recommendations. Personal skills must include the ability to meet tight deadlines, have strong interpersonal and communication skills, be detail oriented, and can work independently. He/she must establish and maintain a professional working relationship with external and internal teams at all levels across the company. They must be a top contributor in large groups and must be comfortable with representing Dimensional Engineering requirements in meetings that with participants varying from assembly technicians to senior execs. The candidate will identify and help to root cause the major Dimensional Issues in the factory. RESPONSIBILITIES • Locator and datum scheme development, documentation and coordination between parts & tooling. • Dimensional analysis (1D and 3D) to mature concepts and drive dimensionally optimized designs. • Analyze statistical data to establish target based design compatibility and to make recommendations. • Support the development of part and system based tolerance requirements through GD&T with Design, Manufacturing and Quality. • Review assembly and measurement tooling to ensure alignment with agreed and optimized design strategies. • Identify and prioritize Dimensional issues requiring resolution. • Drive resolution of Dimensional issues through quantitative data analysis, negotiation and influence. • Track status and report progress for critical issues, at management level. • Support the development of measurement requirements to ensure product build meets design criteria. • Support local suppliers to ensure dimensional requirements are understood and appropriate fixture designs are in place. • Liaising between local manufacturing team and US counterparts.

数据算法团队在特斯拉工业智能研发方面扮演关键角色。我们通过自主搭建数据算法平台，赋能生产制造、供应链、销售、服务和充电网络等领域，将信息转化为高价值的数据资产，从而创造更优质的产品并提供完美的用户体验。 作为特斯拉应用软件团队的数据算法工程师，您将参与自研数据算法产品和项目的全生命周期，从孵化到落地，从雏形到成熟。您将领导数据的收集、清理、预处理、模型训练以及生产部署的全流程。理想候选人应对人工智能和3D视觉技术充满热情，并紧跟该领域的最新进展。 本职位主要聚焦于工厂相关的3D机器视觉应用，包括自动视觉质检、机器人引导、视觉尺寸测量（如精确尺寸验证、公差检查和3D形状分析）、物体姿态估计以及工业自动化场景中的点云处理和实时感知。 岗位职责 机器协同控制相关：负责相机标定、手眼标定、点云数据处理（如滤波、分割、检测、配准和6D位姿估计），配合机器人/PLC等技术，驱动3D视觉应用与生产协同。主动开展机器人控制和引导，促进生产制造效率。 3D数据处理相关：负责机器视觉项目中大批量3D数据（如点云、深度图像）的收集、整理、过滤和清洗。需熟练处理视觉尺寸测量任务，包括使用激光三角测量或立体视觉方法进行物体尺寸提取、形状建模和精度校准。需熟练使用Python、C++、OpenCV、PCL、Numpy、Blender等工具处理3D数据。 模型开发相关：负责3D视觉项目的物体检测、分割、姿态估计模型的数据预处理、训练、迭代、重训练，以及模型准确率提升和搜索任务。在视觉尺寸测量领域，需开发和优化相关模型（如基于PointNet的尺寸估计网络），确保测量精度达到工业标准（如微米级）。需具备Python、C++、TensorFlow/PyTorch等框架经验，并理解常用神经网络（如CNN、PointNet、Transformer变体）在3D视觉中的应用。熟悉Pandas、MongoDB（Aggregation）、Redis、Kafka等工具用于模型部署。 创新相关：对最新的3D视觉技术和趋势（如实时SLAM、神经辐射场NeRF、多模态融合）保持敏感，能够提出创新解决方案应对工业生产挑战，例如机器人路径规划中的点云配准优化或视觉尺寸测量中的实时公差检测优化，以提升质量控制效率。

1、负责造型可行性分析、DTS定义、尺寸链仿真、DTS实现方案及风险评估，并制定相应对策 2、负责制定车身、内外饰、底盘、动力等零件的定位策略、尺寸公差要求 3、负责审核重点零部件图纸并发布总成级图纸 4、支持装配、性能相关尺寸链分析 5、开展产品开发、工艺开发的同步工程工作 6、参与感知质量评审并对感知质量问题制定相应对策 7、支持工业化阶段尺寸问题分析及验证工作 8、负责尺寸开发问题的闭环管理并不断改进 9、新材料、新工艺、新造型相关尺寸研究

1、负责造型可行性分析、DTS定义、尺寸链仿真、DTS实现方案及风险评估，并制定相应对策 2、负责制定车身、内外饰、底盘、动力等零件的定位策略、尺寸公差要求 3、负责审核重点零部件图纸并发布总成级图纸 4、支持装配、性能相关尺寸链分析 5、开展产品开发、工艺开发的同步工程工作 6、参与感知质量评审并对感知质量问题制定相应对策 7、支持工业化阶段尺寸问题分析及验证工作 8、负责尺寸开发问题的闭环管理并不断改进 9、新材料、新工艺、新造型相关尺寸研究