特斯拉｜2027届-嵌入式实习生，热管理系统-上海

Embedded Software Intern, Thermal System 到岗时间要求：2026年8月底或9月上旬 实习时间要求：一周五天全勤，至少4个月，6个月及以上优先考虑。 毕业时间：2027年 转正机会：在表现优异且通过面试考核的前提下可转正 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. Requirements 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 C and/or C++ for embedded systems. Good writing skills to document complex test plans, results and findings Good communication in Chinese and English Better to have: Experience with Python or other scripting languages. Experience with CAN and Vector tools. Skills to use machine learning to process data/extract feature Strong fundamentals in heat-transfer and thermodynamics and devices like pumps, radiators, and refrigerant systems.