苹果Camera Metrology Engineer

As a Display Metrology Technologist, you will • Deep dive and FMEA for new display technology/architecture in prototype phase. Collaborate with cross functional teams to build end-to-end calibration and test strategy. • Design corresponding metrology system with good balance of engineering requirements, development cycle time and financial budgeting. • Touch every aspect of a display test system, including requirement specification, hardware/software development and audit process definition. • Provide trustable report with subjective data, to help new display design convergence by revealing or even predicting hidden risks. • Practice modeling, simulation and machine learning to assist data driven decision. • Present progress and result in working level and executive level meeting. • Up to 5% domestic + international traveling

You will be responsible for designing and developing objective solutions for calibrating, characterizing, and testing display modules and components for Apple products. You will work on system design, development, validation, and production deployment during the New Product Introduction (NPI) stage, with support from SW/HW cross-functional teams. Develop industry-leading calibration and metrology methodology and solutions Develop macOS SW interfacing with various HW systems utilizing common communication interfaces such as SPI, 12C, TCP/IP, USB and instrument-specific SDs Develop automation software and test sequences that control optical instruments, electronics driving boards, fixture controllers, and display modules. Work with team to define calibration & measurement SW requirements Conduct SW/FW FA of measurement tools.

The Technology Program Office in Hardware Test Engineering (HWTE) champions technology calibration and test strategy while balancing between quality/customer experience with operational requirements. In this highly cross functional role, we are looking for leaders to engage in early stages of technology development supporting incubation, prototyping, design validation, simulation & metrology development activities, as well as identifying mass production intent solutions. This would require proactively driving alignment and convergence plan with cross functional teams, identifying risks & mitigating them — all while presenting frequently to senior leadership across Apple. Are you ready for your next challenge?

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。