特斯拉2026/27届-嵌入式实习生，热管理系统 Embedded Software Intern, Thermal System Intern
任职要求
BS or MS degree in Computer Science, Mechatronics, Electrical, Mechanical or Systems Engineering or equivalent, with practical software engineering experience or proof of exceptional skills in related fields. Hands-on technical experience debugging microprocessors and software-controlled electrical or electromechanical devices. Experience analyzing and parsing data to develop technical insights and make decisions. Experience with …
工作职责
时间要求：2026年年初到岗，全勤实习4-6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.
时间要求：2026年2月底或3月初到岗，全勤实习４-6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。 特斯拉正在寻找一名高压系统产品工程师实习生。你需要能够高效地处理大量信息，和具备高压系统自诊断以及分析脚本的技术背景，该系统有重要的软件内容，并部署在关键应用程序中。你将与特斯拉产品工程师一起负责工程和制造等工作，从数据角度，辅助工程师进行高压诊断工具开发（嵌入式），系统失效分析，以实现未来可持续和改进的产品。该职位需要你对产品充满热情，具有较强的批判性思维，熟悉和理解技术系统级架构和问题。 职责描述 - 嵌入式开发 - 协助分析高压系统问题，分类总结。 - 控制器硬件故障分析。 - 高压系统数据分析，通过对电压电流数据诊断定位故障信息。 - 高压系统自诊断和在线诊断脚本验证和开发。 - 协助优化数据查询/分析脚本。
安克创新正式启动了机器人发展战略，计划分三个阶段推进： 「二维基础型」：以扫地机器人、割草机器人为典型的平面作业机器人。 「三维移动型」：包含机器狗、无人机等具有三维空间移动能力的机器人。 「三维交互型」：通过机械臂来实现复杂操作的人形/类人形机器人。" 招聘方向： 【大模型与多模态算法工程师】 【强化学习算法工程师】 【仿真工程师】 【机器人数据闭环工程师】 【灵巧手机电工程师】 【灵巧手算法工程师】 【灵巧手触觉传感器工程师】 【机器人运动规划工程师】 【机器人感知算法工程师】 【AI算法工程师】 【嵌入式软件工程师】 【机械结构工程师】 【电机驱动工程师】 【传感应用工程师】
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.
工作地点：特斯拉上海超级工厂研发中心 要求时间：2026年1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 *针对2026届为常规实习，无转正机会。 What to Expect Consider before submitting an application: This position is expected to start around Jan. 2026 with a duration of 4-6 months, 5 days per week on-site. The Role The Factory Firmware Team is focused on vehicle software and integration engineering in support of manufacturing and new product introduction. This will include projects to create or improve integration tools, as well as tasks to investigate vehicle software improvements in the manufacturing environment. It is important that this person is excited about learning new skills and systems and has strong collaboration skills. This person will be expected to move projects along at an aggressive pace and to get your hands dirty in the details of various subsystems – digging through backend logs, root causing issues and developing solutions to complex problems. The Factory Firmware Team is the eyes and ears of the Firmware organization within the factory and often have the last say on the deployment of new firmware to manufacturing – providing valuable insight and feedback to accelerate development of new software features. Responsibilities • Develop software tools for vehicle diagnostics, testing, and validation under manufacturing environment • Create software solutions to bridge manufacturing process gaps and help team be more productive and efficient • Dig into data, system design and source code to identify and debug issues at the system level and propose robust solutions