Battery Algorithms Intern

Job Description

Here is the enriched job description:

Job Title: Battery Algorithms Intern

Employment Type: Internship

Compensation: $50-70 / hr

Start Date: Summer

Department: Engineering Research & Development

About the Role:

We are actively seeking an intern to join our cutting-edge Battery Algorithms team. This critical position is designed for an individual possessing a robust foundation in battery control, algorithms, modeling, and diverse battery chemistries. Our ideal candidate is characterized by a “can-do” attitude, approaching tasks with vigor, determination, and a commitment to excellence. You will be expected to demonstrate expertise in your field, learn rapidly, and strive for perfection within a dynamic, fast-paced environment.

Your Responsibilities:

• Work collaboratively within a dynamic, cross-functional team to advance our cutting-edge battery management features.
• Contribute significantly to our world-acclaimed battery product, designed for mass-market passenger vehicles and energy storage solutions.
• Collect and thoroughly review laboratory and fleet data to support the development and quality assessment of high-quality battery controls and algorithms. This is crucial for ensuring the real-time safety and optimal performance of vehicle battery packs.
• Develop and/or improve advanced battery controls and algorithms aimed at enhancing overall vehicle performance and enriching the customer experience.
• Collaborate effectively with various cross-functional teams, including controls, battery cells, embedded software, system engineering, and vehicle integration teams, to define requirements and execute comprehensive integration testing.
• Provide additional support to the Battery Software department with duties and tasks as needed.

The Essentials – You Will Have:

• In-depth knowledge of battery chemistries, such as LFP (Lithium Iron Phosphate) and NMC (Nickel Manganese Cobalt).
• Strong understanding of general battery controls and algorithms design principles.
• Proven experience with battery management systems (BMS) and EV powertrain components.
• Proficiency in programming and simulation tools, specifically MATLAB/Simulink and C/C++.
• Solid knowledge of electrochemistry and battery modeling techniques.
• Familiarity with vehicle controls, including motor, onboard charger, and thermal management systems.

Education & Enrollment Requirements:

• Currently enrolled in a Master’s or PhD program at an accredited university.
• Ability to provide proof of enrollment in your current or upcoming program (MS, PhD).

Preferred Fields of Study:

• Mechanical Engineering
• Electrical Engineering
• Industrial Engineering
• Manufacturing Engineering
• Or other closely related technical fields.