特斯拉Sr. IT Engineering & Delivery Engineer

The Role Tesla is looking for a technical and industry-experienced engineer to join a team of talented engineers. As part of Tesla IT Operation team, we are responsible to deliver 7x24 system infrastructure and provides a portfolio of services including configuration management, engineering tools, identity access and control, managing public, private cloud infrastructure, ensure security and extreme reliability is our fundamental design principal, the candidate must be hands-on on day-to-day basis with experience in building, operating and driving reliability and security for production systems at scale. Responsibilities • Responsible for the design, deployment, and support of manufacturing systems and network infrastructure. • Provide support for China-based infrastructure build-out, including datacenter, Linux system (both virtualized and bare-metal servers). • Installation, configuration, and maintenance of Linux server environment. • Ensure the reliability of the existing systems to guarantee uptime and availability of core infrastructure services. • Perform root-cause analysis of complex issues ranging through hardware, operating system, application, network, and information security platforms. • work with different business units to identify, plan, test and deploy or upgrade Linux system according to business requirements. • Partner with teams from across the organization to help tackle hard problems in a collaborative, high velocity environment. • Tackle issues across the entire stack: hardware, software, network and application. • Managing engineering tools and platform such as GitHub, Artifactory, etc. • Perform analysis, troubleshooting, and introspection on core infrastructure components and handle incident response. • Creating and maintain well documented knowledge base and be a mentor of junior engineers. • Take on call role and respond quickly to emergency bridge and provide quick and effective solutions to minimize system downtime.

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 Tesla’s Finance team combines traditional financial planning and analysis with broader business decision making and strategy, directly supporting leadership. Finance is embedded in daily operations, supporting both near-term execution and long-term planning. Team members are expected to analyze data and provide recommendations and to lead cross-functional decision-making and implementation of the recommendations. This role will work closely with purchasing team and Engineering R&D team to drive BOM cost reduction opportunities. RESPONSIBILITIES • Conduct part level should-cost analysis and provide pricing insight to purchasing team • Build and improve should-cost database structure to enable more in-depth and detailed cost analysis • Build tooling database and drive business towards more robust tooling PO placement & more in-depth and detailed cost analysis • Forecast BOM cost and analyze forecast vs.actual variance • Work with engineering and design team to optimize product BOM cost • Work with purchasing team to identify cost reduction roadmap and track various cost reduction initiatives • Work cross-functionally with engineering, NPI and purchasing team and conduct various business cases analysis for part-cost related decisions

· Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available. · Apply Statistical and Machine Learning methods to specific business problems and data. · Create global standard metrics across regions and perform benchmark analysis. · Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. · Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions. · Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds. · Develop efficient data querying and modeling infrastructure. · Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time. · Utilizing code (SQL, Python, R, etc.) for analyzing data and building statistical models.