特斯拉Staff/Sr. Data Algorithm Engineer-CV

工作描述

任职要求
必备条件
具备计算机科学、数学、统计学或相关学科的高等学历。
具备较强的C++和Python开发背景，能够处理高性能3D视觉算法实现。
具备很强的3D视觉算法背景，包括点云滤波、分割、检测、配准和6D位姿估计等，以及视觉尺寸测量算法（如3D重建和计量技术）
具备TensorFlow或PyTorch等框架的模型开发经验，并理解常用神经网络（如卷积网络、点云网络）在3D应用中的原理和优化。
具备数据科学相关能力，如Pandas、Numpy、Matplotlib以及MongoDB Aggregation等工具的使用经验。
了解机器人相关控制技术（如ROS框架、路径规划），并具备工厂3D机器视觉经验，包括视觉尺寸测量在制造质量控制中的应用。

优先考虑
有实际将3D视觉技术应用于工业、制造或机器人领域的项目经验，例如自动引导系统或缺陷检测，或视觉尺寸测量系统。
在相关领域的学术期刊或会议（如CVPR、ICCV、IROS）上发表过研究论文。
具有机器人/PLC控制、工业相机/激光传感器/光源解决方案的经验。
有在敏捷环境中工作的经验。
具有算法开发竞赛经验，如ACM、Kaggle或Robotics挑战赛。
熟悉多模态数据融合（如RGB-D与点云结合）或实时3D重建技术，特别是在视觉尺寸测量中的应用（如融合传感器数据提升测量精度）。

加入特斯拉，您将有机会在一个充满活力和创新的环境中工作，与世界一流的工程师和科学家一起，通过机器视觉技术推动工业自动化和智能制造的发展。如果您对机器学习、人工智能和机器视觉充满热情，并渴望在这一前沿领域中实现自己的价值，欢迎加入我们的团队。

The Role
The Data Algorithms team plays a key role in Tesla's industrial intelligence research and development. We build our own data algorithms platform to empower areas such as production manufacturing, supply chain, sales, services, and charging networks, transforming information into high-value data assets to create superior products and deliver a perfect user experience.

As a Data Algorithms Engineer at Tesla, you will participate in the full lifecycle of in-house data algorithms products and projects, from incubation to deployment, and from prototype to maturity. You will lead the entire process of data collection, cleaning, preprocessing, model training, and production deployment. The ideal candidate should be passionate about artificial intelligence and 3D vision technology, and stay abreast of the latest developments in the field.

This position primarily focuses on factory-related 3D machine vision applications, including automated visual quality inspection, robot guidance, vision-based dimension measurement (such as precise size verification, tolerance checking, and 3D shape analysis), object pose estimation, as well as point cloud processing and real-time perception in industrial automation scenarios.

Responsibilities
Machine Collaboration Control: Responsible for camera calibration, hand-eye calibration, and point cloud data processing (such as filtering, segmentation, detection, registration, and 6D pose estimation), collaborating with technologies like robots/PLC to drive the integration of 3D vision applications with production. Proactively conduct robot control and guidance to enhance production manufacturing efficiency.
3D Data Processing: Responsible for the collection, organization, …