实习岗位详情

2027届-电池管理系统自动化及验证
 招聘时间
即日起 至 2026-08-27
 招聘单位
TESLA-特斯拉
 所在地区
上海
 工作地点
上海市浦东新区正嘉路1188号,特斯拉上海超级工厂
 学历要求
不限
 实习时长
每周5天,每天4小时
 职责描述
工作地点:特斯拉上海超级工厂研发中心
要求时间:2026年8月或9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 BMS system, including developing validation strategies, test cases for new hardware and firmware, and building automation validation bucks, 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 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.
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