特斯拉Sr.Product Engineer,Sales Automotive

THE ROLE: Join the AMD AECG (Adaptive and Embedded Computing Group) as the leader of our China Customer Engineering team to further strengthen and grow the team. In this role, you will lead the customer program engagements and deep customer co-engineering supporting Embedded x86 customers in the Greater China market. In this customer-facing role, you will collaborate with local FAE and sales managers, global Customer Applications Engineering teams and R&D Engineering teams, and many other cross-functional stakeholders to ensure successful, on-time and high-quality deployment of AMD Embedded x86 processors into customer designs from evaluation through development and production. You will also build strong and deep relationships with engineering leaders of the customers and be the influential voice of customer internally. Key market segments are networking, storage, automotive and edge-AI. THE PERSON: Brief description of what type of person would be successful in the role and key traits needed KEY RESPONSIBILITIES: Team Leadership: Lead a team of local Customer Application Engineers and other technical experts who may be remote to engage with China customers to adopt and develop designs with AMD Embedded x86 processors. Build and grow the Greater China Customer Engineering team through hiring and team development. Evaluations and Design-Wins: Engage yourself and team deeply with customers to understand the key care-abouts, enable hands-on evaluations and build compelling technical and architectural engagement to win China customer designs working closely with global teams Issue Resolution / Customizations: Oversee the triage, debugging, and resolution of customer issues, ensuring timely coordination with internal engineering and product teams, and drive issue closure. Build strongly technical team to create and deliver custom features in self-contained fashion. Escalation and Crises Management: Serve as the primary escalation point for complex customer engineering challenges, driving resolution and customer satisfaction. Technical Guidance: Provide training and support to customers and ODMs to adopt AMD Embedded x86 processors, development tools and design guides. Customer Communication: Drive the team to create and review technical information disclosure, training materials, and other customer-facing documentation. Resource & Onboarding Management: Direct hardware resources allocation, continue to manage, develop and grow a high-performing Customer Engineering team in China. Build strong competent team with the key expertise needed for emerging markets. Deep Partnership and Co-engineering with Customers : Built a customer obsessed team of strong technical engineers who can work in deep co-engineering working model with customers and this partnership building a competitive moat.

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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。

我们正在寻找一名经验丰富的ERP系统产品经理，负责设计特斯拉全球自研ERP系统物料主数据、库存管理、库存成本管理和厂内物流模块。该职位需要与内部用户合作，分析业务需求，设计相关模块功能，以改善库存管理效率和成本控制。 岗位职责： 产品规划与设计：负责物料主数据、库存管理、库存成本管理和厂内物流软件产品的整体规划与设计，制定产品路线图，确保产品功能满足内部客户需求和业务目标。 需求分析与管理：深入调研当前库存管理和成本控制业务场景，收集并分析用户需求，撰写产品需求文档，协调各方资源推动需求落地。 项目推进与协调：与研发、设计、测试等团队紧密合作，制定项目计划，跟踪项目进度，及时解决项目中出现的问题，确保产品按时高质量交付。 产品优化与迭代：关注产品上线后的用户反馈和相关数据，持续优化产品功能和性能，提升用户体验，推动产品的迭代升级。 跨部门、团队协作与沟通：与业务、开发、算法、运维等团队协作，确保团队对产品有清晰的理解，为产品的按时上线推广保驾护航。