特斯拉Sr. IT Engineering & Delivery Engineer
任职要求
Basic
• Bachelor’s degree or higher in Computer Science, Software Engineering, Information Systems, Automation, or a related engineering field.
• 5+ years of IT project management experience, with a minimum of 2 years in software development/testing management, plus 1–2 years of hands-on experience in manufacturing/factory IT infrastructure projects.
• Deep expertise in the Software Development Life Cycle (SDLC), with proven proficiency in Agile (Scrum), Waterfall, and other project management methodologies. Ability to independently develop comprehensive development plans and test strategies.
• Solid knowledge of IT infrastructure architecture (networks, servers, data centers, IoT devices, etc.), with a clear understanding of software-hardware integration principles. Skilled at coordinating cross-functional software and hardware project resources.
• Strong project management acumen, including expertise in project planning, …工作职责
The Role As an IT Engineering & Delivery Engineer (TPM) at Tesla Giga Shanghai, you will own the end-to-end lifecycle management of IT software systems—spanning development, testing, and delivery—while also steering the planning and execution of IT infrastructure construction projects. You will partner closely with global and local technical teams to ensure seamless synergy between software products, manufacturing digital systems, and IT infrastructure, driving IT operations excellence and fueling growth across all IT-enabled business functions, all while upholding Tesla’s rigorous standards for quality and efficiency. Responsibilities 1. Software System Development & Testing Leadership • Own the development roadmap, test execution, and deployment of business-critical systems, including business support platforms, IoT applications, and edge computing solutions. • Lead requirement gathering and solution design, bridging business stakeholders and development teams to translate on-site operational needs into actionable technical blueprints, alongside robust development plans and test strategies. • Oversee the full software testing lifecycle—from unit, integration, and system testing to User Acceptance Testing (UAT). Establish standardized test case repositories and defect resolution workflows to ensure software functionality, performance, and security align with Tesla’s global benchmarks. • Drive continuous software iteration and optimization, leveraging business feedback to enhance system adaptability and stability, and accelerate the factory’s digital transformation journey. 2. IT Infrastructure Construction & Cross-Functional Delivery • Lead IT infrastructure planning and deployment across factory construction, expansion, and new production line rollouts, covering network architecture, data center buildouts, server provisioning, end-user devices, physical security systems, and IoT device integration. • Coordinate cross-functional stakeholders (Engineering, Facilities, EHS, Manufacturing, and Security teams) to align IT infrastructure delivery timelines with master construction schedules, ensuring the hardware environment fully supports software deployment and operational demands. • Manage outsourced construction vendors and on-site teams, enforcing strict controls over quality, safety, and cost. Champion on-site standardization—including wiring protocols, rack layout, asset labeling, and document management best practices. • Oversee end-to-end integration and debugging between software systems and infrastructure, resolving compatibility issues to guarantee stable, post-deployment system performance. 3. Digital Project Execution & Technology Innovation • Lead the rollout of AI, IoT, and automation-driven digital projects, such as intelligent terminal application development, robot fleet management systems, computer vision algorithm deployment, and predictive maintenance platform implementation, to embed cutting-edge technology into manufacturing operations. • Collaborate with Tesla’s global IT teams to align system architecture, data security protocols, and technical standards, ensuring software and infrastructure solutions adhere to the company’s global technical framework. • Serve as the critical link between technology and business, driving manufacturing process optimization through software feature enhancements and strategic hardware resource allocation, boosting production efficiency and digital management maturity. 4. Project Governance & Process Optimization • Establish a unified project management framework covering the full lifecycle of both software (development-testing-delivery-operations) and infrastructure (planning-construction-acceptance) initiatives. Define clear milestones, budget guardrails, risk mitigation protocols, change management procedures, and documentation standards. • Proactively identify lifecycle risks—such as software development delays, hardware compatibility gaps, or cross-team collaboration bottlenecks—and design targeted mitigation plans to ensure on-time, on-budget, and quality-compliant project delivery. • Continuously refine project execution workflows, scaling Agile development, modular testing, and other lean methodologies to enhance cross-team collaboration efficiency and communication transparency. • Own the long-term lifecycle management of IT projects, supporting post-launch system maintenance, version upgrades, and infrastructure modernization to ensure sustained, reliable IT support for business operations.
THE ROLE This role will be a support engineer within the Tesla IT Infrastructure Engineering & Operations department. The Sr. Incident Response Engineer will be coordinating with cross-functional engineering teams for Incident Response & Management in terms of the high availability to Tesla Manufacturing, Business Operations, Customer Service & Experience. We help to reduce the occurrence of incidents by using efficient IT Operation monitoring, effective risk analysis and professional team collaboration. The Tesla APAC Incident Response Center is a growing team consist of professionals from diverse backgrounds, which will offer you a fantastic development environment. This role will be based on Giga Factory Shanghai, China but will provide support to Tesla Business globally considering of the growing business & great mission. RESPONSIBILITIES • Independently lead incident response and management to minimize impact and ensure optimal response times. Develop incident response plans, conduct post-mortem analyses, and organize drills to enhance preparedness. • Drive IT service management projects. Establish/optimize SOPs to reduce inter-team communication barriers, promote technical knowledge sharing, and improve team incident response capabilities. • Monitor IT infrastructure and data center operations, including servers, networks, and applications. Analyze real-time stability metrics, mitigate risks, and deliver regular operational analysis reports. • Proactively enhance team efficiency through tool automation, process refinement, and adoption of industry best practices. Support daily operations and foster a culture of continuous improvement. • Oversee infrastructure changes to minimize risks, streamline approval workflows, and ensure compliance with change management protocols.
The Role As a Software Product Engineer of IT Sales applications, you will be responsible for leading a wide variety of cross-functional programs across sales and customer experience application,system integration, server systems, and diagnostics. In this role, you will lead the design and development of some of the most advanced and sophisticated systems in the world, with unparalleled agility. Responsibilities • Design the new functionalities in applications to support the growth of our sales. • Work with US IT team to implement global rollout to China with local gap prioritized. • Manage the implementation as project manager. • Manage cross-functional software programs from end-to-end. • Develop and manage project plans and ensure on-time delivery. • Work closely with engineering teams to effectively coordinate complex design inter-dependencies. • Constantly work to evolve our processes towards increasing precision and dependability, while still maintaining the agility that has gotten Tesla to where we are now. • Work with the UX, dev, and QA teams with strength and confidence through rapid development cycles, changing requirements, and uncertainty. • As business partner to manage IT requirements of specific domain.
The Role As a Product Manager of IT Charging and Infrastructure, you will be responsible for leading the Energy & Charging product software , including the Customer Asset Tools , Cloud Control Platform, Network Operation platform and integration with cross functional product. In this role, you will lead the requirement analysis with business users , design the product roadmap or landscape , tracking the project delivery. Responsibilities • Design the new functionalities in applications to support Energy and Charging Product. •Promote the solution or functionality to Global business and import the global function locally. • Manage the implementation as project manager. • Manage the daily operation of application. • Manage cross-functional software programs from end-to-end. • Develop and manage project plans and ensure on-time delivery. • Work closely with engineering teams to effectively coordinate complex design inter-dependencies. • Constantly work to evolve our processes towards increasing precision and dependability, while still maintaining the agility that has gotten Tesla to where we are now. • Lead your teams with strength and confidence through rapid development cycles, changing requirements, and uncertainty. • As business partner to manage IT requirements of Energy business.
The Role TESLA is offering a full-time IT Support DevOps AI position in the Information Technology Department (Work Location: Tesla Giga Factory Shanghai). If you are a versatile expert integrating AI development, DevOps practices—someone who can efficiently tackle challenges, solve complex technical problems in user support and experience scenarios, and reject repetitive and inefficient work patterns—this role is perfect for you. IT Support DevOps AI is a core role connecting the company’s IT systems and user-facing processes, standing at the forefront of enhanced user support implementation. You will engage in work across multiple domains, including AI technology R&D, containerized deployment, and operational support. Through technical practice, you will support the company in optimizing user interactions, improving support efficiency, and contributing to the core goal of user experience transformation. Responsibilities • Undertake AI algorithm R&D, model optimization, and training, with a strong emphasis on fine-tuning (FT), supervised fine-tuning (SFT), reinforcement learning (RL), and advanced tuning techniques; focus on user support scenarios such as data analysis, query resolution, issue detection, and automated assistance to ensure AI technology aligns with user experience needs. • Complete the deployment, monitoring, and scaling of AI solutions based on container technologies like Kubernetes (K8s) and Docker, ensuring high availability and stability of the system in the operational environment, while integrating AI underlying technologies like neural networks and Transformer architectures for efficient performance. • Participate in DevOps process development, optimize the full lifecycle of AI model and system development, testing, and deployment, and realize automated deployment, continuous integration (CI), and continuous delivery (CD), incorporating RL-based optimization and model tuning for adaptive user support systems. • Collaborate with user support-related departments such as helpdesk, customer service, and product teams to deeply understand user pain points and provide data-driven AI technical solutions, leveraging SFT and attention mechanisms to enhance personalized user experiences. • Respond quickly to technical requirements and faults in user-facing systems, troubleshoot issues in AI systems, container clusters, and network environments, minimize impacts on user interactions, and improve support efficiency and satisfaction through advanced AI tuning and underlying model diagnostics. • Track cutting-edge technologies in the AI and DevOps fields (e.g., large language models with FT/SFT/RL integration, cloud-native operations) and industry trends, promote the pre-research and application of new technologies in user support scenarios, and continuously optimize system performance using techniques like model compression and quantization.