特斯拉2026/27届-系统验证实习生,驾驶系统(Python/JS) System Validation Intern, Drive Systems
任职要求
Currently pursuing a Bachelor's, Master's Degree or higher in Computer Science, Mechatronics, or related technical field.
Understanding of hardware and software development processes.
Hands-on technical experience debugging complex systems involving networked microprocessors and software-controlled electrical or electromechanical devices.
Strong in Python
Ability to use oscilloscopes, multimeters, and other electrical t…工作职责
时间要求:2025年年底或2026年年初到岗,全勤实习3-6个月。 技能要求:较强的Python能力并有丰富开发经验,熟悉JS并有电子电气基础加分。 是否提供转正机会:表现优异且通过转正面试的情况下可转正。 About the Team Tesla’s Systems Validation Team is seeking interns who will be responsible for ensuring firmware for new vehicle features and new hardware are designed, implemented and tested to achieve Tesla’s standards for safety and customer experience. The intern will develop robust validation strategies, and deliver automated solutions to execute those strategies efficiently and repeatedly, thus enabling rapid iteration and evolution of Tesla’s vehicle systems. Come join a team of deeply knowledgeable and motivated engineers that strive to build the most robust, performant and reliable vehicles in the world, using cutting edge software and hardware development tools and practices. What to Expect Work with the cross-discipline development and design engineers throughout the engineering organization to ensure the relevant subsystems are designed with appropriate requirements, interfaces and interactions to achieve specific vehicle functions. Understand and debug interfaces/interactions required for successful implementation of complex vehicle level firmware. Develop, document and execute comprehensive system and sub-system level test specifications and test plans based on system requirements. Invent methods and build technology to execute tests and evaluate results efficiently and repeatedly. Specify, design, develop and integrate test automation frameworks and tools. Deliver test setups to integrate new subsystems with simulated and/or actual vehicle components. Report and track issues with software and/or hardware releases. Investigate field issues through data analysis and issue reproduction. Continuously look for ways to improve the safety, performance and customer satisfaction with Tesla products.
工作地点:特斯拉上海超级工厂研发中心 要求时间:2025年11月或12月开始实习,至少4个月,6个月以上优先,一周五天全勤 英文:流利,需与美国团队日常会议沟通 *提供转正机会,应届生优先。 About the Role The Systems Validation team is responsible for system level testing of all vehicle product launches, new hardware introduction, new features or any software release. System Validation tests are primarily developed using python for complex and robust validation strategies and deliver automated solutions to execute those strategies efficiently and repeatedly, thus enabling rapid iteration and evolution of Tesla’s vehicle systems. This role will be responsible for firmware validation of the charging system, including developing validation strategies, test cases for new hardware and firmware, and building automation validation bucks for ACDC system, improve the automation. Required to complete system bench validation and vehicle level system validation for new HW and FW; This role will also require collaborating and support the firmware development and integration teams to root cause issue, to iterate and complete a mature and stable product; Come join a team of deeply knowledgeable and motivated engineers that strive to build the most robust, performant and reliable vehicles in the world, using cutting edge software and hardware development tools and practices. What to Expect l Deliver automation test setups to integrate charging ACDC subsystems with simulated and/or actual vehicle components; l Work with the cross-discipline development and design engineers throughout the engineering organization to ensure the charging subsystems are designed with appropriate requirements, interfaces and interactions to achieve specific vehicle functions. l Develop, document and execute comprehensive system and sub-system level test specifications and test plans based on system requirements. l Specify, design, develop and integrate test automation frameworks and tools l Report, track and debug issues with software and/or hardware releases l Investigate field issues through data analysis and issue reproduction.
1. AI Agent研究与实现:跟踪AI Agent、智能体等前沿技术,快速复现学术论文中的算法实现,构建原型系统并验证效果; 2. 大模型应用开发:基于现有大语言模型(LLM)开发智能应用,包括但不限于MCP(Model Context Protocol)集成、工具调用、多模态交互等功能实现; 3. AI驱动数据分析:探索和实现AI大模型在大数据分析场景中的应用,包括自动化数据处理、智能报表生成、数据洞察挖掘等; 4. 技术调研与落地:持续关注AI Agent框架(如LangChain、AutoGPT、MetaGPT等)的最新进展,评估并集成到实际项目中; 5. 知识沉淀与分享:整理技术文档,定期进行技术分享,协助团队提升AI技术能力;
时间要求:2025年年底或2026年年初到岗,全勤实习3-6个月。 是否提供转正机会:表现优异且通过转正面试的情况下可转正。 Description Tesla is looking for a highly motivated individual to join the Vehicle Software organization’s Systems Team with a focus on powertrain thermal and HVAC controls. It is the responsibility of this team to lead all software driven, system level, vehicle requirements prior to any new hardware or software release or new product introduction. As a thermal system intern, you are expected to understand the software/hardware dependencies in thermal system, from thermal devices (compressor, EXV, pump, fan, temperature sensors, BLDC) to system integration (cabin HVAC control, heat pump fundamentals). You must maintain a close relationship with all members of the design cycle to guarantee you are prepared to rigorously and comprehensively test all new features and changes made in your area of responsibility. Responsibilities: Work with hardware and software, modeling, controls and development teams, to understand thermal system features and define executable software specification. Develop and execute comprehensive system and sub-system level test specifications and test plans and provide feedback to development teams. Develop prototype test setups to integrate new subsystems with simulated or actual vehicle components for early evaluations. Investigate field issues through data analysis and issue reproduction. Dig into data and source code to identify and debug issues and propose robust solutions.