苹果Backend / Full-stack Software Engineer

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 As an experienced Software Engineer, you’ll take part in the design and development of software for the current and next generation of Tesla’s After-Sales related systems. In this role, you’ll be developing highly complex applications, while acting as a team member, to streamline business operations and improve overall user experience. The ideal candidate is a self-starter with a strong desire to increase efficiencies and make an impact while contributing to a cross-functional team. Your ability to creatively collaborate and execute team goals will affect scalability and directly contribute to the company's mission of accelerating the world’s transition to sustainable energy. RESPONSIBILITIES • Work closely with a wide variety of stakeholders to analyze and break down large requirements into small, simple, workable deliverables. • Work across multiple projects simultaneously. • Design, implement, and deliver to production complete end-to-end fully functional solutions. • Develop scalable solutions using tools like .NET (C#), Java (for transitional candidates), Python, MySQL, and other open stack frameworks. • Ensure highest technical quality of your deliverables and they are cost-effective to maintain. • Contribute relevant, clean, concise and quality documentation to Tesla's knowledge base to support/increase information sharing within the organization. • Automate any repetitive development tasks and bring efficiency to the team. • Ability to multi-task and manage multiple assignments in a fast-paced environment. • Agile/SCRUM Software Development Process experience is a plus.

• Lead the architecture, design, and development of intelligent agent systems that integrate LLMs with real-world applications. • Drive full-stack engineering implementation, including backend services, API integration, database design, and task orchestration. • Select and optimize system components such as message queues, middleware, vector databases, and caching frameworks to meet performance and scalability targets. • Work closely with product and research teams to translate AI agent logic (e.g., tool-use, planning, reasoning) into robust, production-grade systems. • Take ownership of system performance tuning, including concurrency handling, throughput optimization, and service reliability. • Guide the team through best practices in code quality, CI/CD pipelines, and system observability. • Build and lead a team of engineers to deliver high-quality agent-driven applications from prototype to deployment.

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