特斯拉Sr. Full Stack Engineer，Angular+.Net

供应链应用团队致力于特斯拉全球供应链及企业内部管理系统的研发，业务涵盖供应链管理与洞察、智能研发运营、库存策略与运营风险预测、物联网、智能财务等核心产品模块。我们需要热爱通过技术创新优化特斯拉业务，具备创造力、革新精神并勇于自我挑战的您。 作为资深软件工程师，您将参与特斯拉现有及下一代系统的设计、开发、测试与支持工作。候选人需精通后端 Web 开发，同时具备全栈（前端与基础设施）协作能力。理想人选应热衷打造世界级软件产品，并拥有成功构建高可用、可扩展软件系统的实绩。您创造性协作与执行团队目标的能力，将直接影响系统的可扩展性，并直接助力公司加速世界向可持续能源转型的使命。 岗位职责： • 参与和主导特斯拉自研 SRM 系统的核心模块开发与架构设计，支撑供应商数据管理、招投标管理、供应商绩效评估等业务场景 • 使用 C#/.NET 构建高可用微服务架构，通过 Angular/React 开发响应式前端界面，实现供应商协作流程的数字化闭环 • 通过 APM 工具（Splunk/Grafana/等）监控供应商系统运行指标，持续优化系统可用性与扩展性 • 从架构设计到生产部署，交付端到端完整功能解决方案 • 撰写相关、简洁、高质量的文档，完善特斯拉知识库以促进组织信息共享 • 在快节奏环境中具备多任务处理及并行任务管理能力

THE ROLE The Sales & Delivery application team is responsible for building applications to support Tesla's rapid growth while providing an amazing customer experience. The business covers the whole customer journey including discovery, ordering, vehicle fulfillment, ownership, charging and service. The application scope covers Tesla Web, App, Mini Program, internal tools, Tesla for Business and new product launch. The mission of our team is to streamline business operations, decrease costs, improve customer experiences, and solve the business challenges from both product and technology perspective. Our engineers are hands-on and encouraged to own their own projects, contribute to new ideas, and make an impact on the way that our company operates. As a Full Stack Engineer, you will own end-to-end development in a split frontend-backend architecture, bridging client-side experiences with scalable server-side APIs to power Tesla's customer ecosystem. RESPONSIBILITIES • Design, code, and maintain mobile and web user experiences end-to-end, including frontend interfaces and backend services. • Develop and maintain backend API servers using .NET/Golang, handling data processing, authentication, integration with databases, caching layers, event streaming, and search functionalities. • Optimize code for performance, stability, and maintainability across the full stack, including API scalability, error resilience, and monitoring. • Build, configure, and deploy backend API servers in a frontend-backend split architecture, with the capability to independently handle core infrastructure tasks (e.g., from initial setup to production rollout) while collaborating on system-wide integrations, ensuring high availability, security, and scalability. • Work with a cross-functional team of frontend and backend software engineers, product teams, QA/validation, and designers. • Collaborate on integrating frontend components with backend services, troubleshooting issues across layers, and implementing features that leverage SQL for data persistence, Redis for caching, Kafka for real-time event processing, and Elasticsearch for search and analytics.

The Role We are seeking a highly motivated and skilled Full Stack Developer to join Tesla. The ideal candidate will have a strong foundation in full stack development, coupled with hands-on experience in building and deploying LLM (Large Language Model) Agents and a deep understanding of Machine Learning pipelines. Responsibilities • Design, develop and maintain scalable and efficient full stack applications especially for business intelligence (BI) reporting tool via Apache Superset, EChart or Dash. • Develop intuitive and performant user interfaces using React or Next.js. • Build and manage backend services using Python (FastAPI or Flask), with flexibility for Java (SpringBoot) . • Build, deploy and optimize LLM application like Agentic RAG for real-world use cases. • Design and implement containerized applications using Docker and orchestrate them with Kubernetes. • Integrate and optimize data analytical solution with Neo4j and MongoDB and Apache Airflow. • Collaborate with cross-functional teams to deliver high-quality software solutions.

The Role We are seeking a highly motivated and skilled Full Stack Developer to join Tesla. The ideal candidate will have a strong foundation in full stack development, coupled with hands-on experience in building and deploying LLM (Large Language Model) Agents and a deep understanding of Machine Learning pipelines. Responsibilities • Design, develop and maintain scalable and efficient full stack applications especially for MLOps Platforms and LLM Agents. • Develop intuitive and performant user interfaces using React or Next.js. • Build and manage backend services using Python (FastAPI or Flask), with flexibility for Golang (Gin). • Build, deploy and optimize LLM application like Agentic RAG for real-world use cases. • Design and implement containerized applications using Docker and orchestrate them with Kubernetes. • Collaborate with cross-functional teams to deliver high-quality software solutions.