特斯拉嵌入式开发实习生，电池管理系统 Embedded Software Intern, Battery Management Systems

任职要求

Must Have
• BS in Electrical Engineering, Computer Science, Computer Engineering or proof of exceptional skills in related fields with practical software engineering experience
• Expertise testing devices and debugging hardware (oscilloscope, logic analyzer, DMM)
• Desire to participate in improving code robustness and designing testing infrastructure
• Ability to th…

工作职责

到岗时间要求：2026年4月或5月
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：2026年或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

The Role
As an Embedded Software Intern on the Battery Management System (BMS) Team, you will have the opportunity to accelerate the delivery of quality Tesla products to consumer markets. You will be responsible for architecting, designing, and implementing firmware validation procedures, equipment, and automation regarding high voltage systems. Your effort to create and spin up various automated validation infrastructures will have a direct impact on the reliability and robustness of the Tesla products as well as the customer experience. The Tesla battery team is extremely focused on the quality of users’ indicators (i.e. range, SOC, power, etc.) which directly plays into the overall experience and the safety of the system as a whole. The team strives to create robust, efficient firmware and your responsibility is to ensure the code quality extremely high. You will work within the development and integration teams to create innovative automated test systems and implement tests are on these platforms. These systems explore and validate the performance capabilities of our hardware and firmware. You will also play an important role in our future technologies roadmap, including firmware support for new products, packs, cells, etc.

Responsibilities
• Work with various cross-functional teams to develop requirements for new BMS features, diagnostics, algorithms, etc
• Design, implement and test cutting-edge algorithms for run-time BMS logic to derive State-of-Charge, State-of-Health, State-of-Power and State-of-Energy computations.
• Develop Software-in-the-Loop infrastructure in a object-oriented fashion, making high degree of re-use of existing objects and objects that are highly reusable
• Develop and enhance existing battery models to ensure Real vs. Simulation accuracy
• Design rapid test iteration framework for developers to use for quick, at-desk spot checks
• Develop “real world” playback mechanism for field data, integrating with existing Tesla data systems
• Develop behavior models for various subcomponents of the vehicle, complete with fault insertion capability engineered in
• Develop complex battery aging model(s) which accurately reflect true cell aging patterns