Battery Algorithms Intern

Job Description

About the Job

• Employment Type: Internship
• Compensation: $50-70 / hr
• Start Date: Summer
• Department: Engineering Research & Development

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Job Description: Battery Algorithms Intern

We are seeking a highly motivated and skilled intern to join our dynamic Battery Algorithms team. This position offers a unique opportunity to contribute to cutting-edge battery management features for mass-market passenger vehicles and energy products. The ideal candidate will possess a strong background in battery control and algorithms, modeling, and various battery chemistries, approaching work with vigor and determination in a fast-paced environment.

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Your Responsibilities:

• Work within a dynamic, cross-functional team to advance our innovative battery management features.
• Contribute to our world-acclaimed battery product portfolio for mass-market passenger vehicles and energy products.
• Collect and review laboratory and fleet data to support the development and quality assessment of high-quality battery controls and algorithms, ensuring real-time safety and performance of vehicle battery packs.
• Develop and/or improve advanced battery controls and algorithms to significantly enhance vehicle performance and customer experience.
• Collaborate effectively with cross-functional teams including controls, battery cells, embedded software, system engineering, and vehicle integration teams to define requirements and perform integration testing.
• Provide support to the Battery Software department with additional duties/tasks as needed.

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The Essentials – You Will Have:

• Knowledge of Battery Chemistries: Proficiency with LFP and NMC.
• Battery Controls & Algorithms: Strong understanding of general battery controls and algorithms design.
• Battery Management Systems: Experience with Battery Management Systems (BMS) and EV powertrain.
• Software Proficiency: Expertise in MATLAB/Simulink and C/C++.
• Academic Background: Currently enrolled in a Master’s or PhD program at an accredited university in one of the following fields:
• Mechanical Engineering
• Electrical Engineering
• Industrial Engineering
• Manufacturing Engineering
• Other related engineering fields.
• Proof of Enrollment: Ability to provide proof of current enrollment or enrollment into the next program (MS, PhD).
• Electrochemistry & Modeling: Knowledge of electrochemistry and battery modeling.
• Vehicle Controls: Familiarity with vehicle controls such as motor, onboard charger, and thermal systems.

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Important Notes:

• We encourage students currently studying in any university in the USA majoring in: Electrical Engineering, Mechanical Engineering, Civil Engineering, Manufacturing Engineering, Materials Engineering, Packaging Engineering, Biomedical Engineering, Chemical Engineering, Safety, Supply Chain, Bioengineering, Industrial Engineering, Petroleum Engineering, Aerospace Engineering, Construction Management, and Industrial & Systems Engineering to apply.
• Candidates outside the US cannot be considered.

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About Us:

We are an HR consultancy firm that leverages an Artificial Intelligence System to match candidates with potential roles, offered free of cost. Our matchmaking approach incorporates various formats throughout the recruiting process, including direct interaction with our recruiters and client-serving professionals, alongside the AI system, to help you understand your strengths and strategize your career path. Submit your resume to learn more about how we can assist you.