Battery Algorithms Intern

Job Description

Battery Algorithms Intern

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

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We are currently seeking a highly motivated intern for our Battery Algorithms team within Engineering Research & Development. This position requires an individual with a strong background in battery control and algorithms, modeling, and battery chemistries. Our ideal candidate exhibits a ‘can-do’ attitude, approaches their work with vigor and determination, and strives for perfection within a fast-paced environment. Candidates will be expected to demonstrate excellence in their respective fields and possess the ability to learn quickly.

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Your Responsibilities:

• Work in a dynamic, cross-functional team to advance our cutting-edge battery management features.
• Contribute to our world-acclaimed battery product 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 the safety and performance of vehicle battery packs in real time.
• Develop and/or improve advanced battery controls and algorithms to enhance vehicle performance and customer experience.
• Collaborate with cross-functional teams such as controls, battery cells, embedded software, system engineering, and vehicle integration teams to define requirements and perform integration testing.
• Support the Battery Software department with additional duties/tasks as needed.

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The Essentials – What You Will Bring:

• Currently enrolled in a Master’s or PhD program at an accredited university.
• Proof of enrollment in current or into the next program (MS, PhD).
• Strong knowledge of battery chemistries (e.g., LFP, NMC) and electrochemistry.
• Solid understanding of general battery controls and algorithms design.
• Experience with Battery Management Systems (BMS) and EV powertrain concepts.
• Proficiency in MATLAB/Simulink and C/C++.
• Knowledge of battery modeling.
• Familiarity with vehicle controls such as motor, onboard charger, and thermal systems.
• Academic Background: Field(s) of study must include, but are not limited to, one of the following engineering disciplines:
  • Electrical Engineering
  • Mechanical Engineering
  • Civil Engineering
  • Manufacturing Engineering
  • Materials Engineering
  • Packaging Engineering
  • Biomedical Engineering
  • Chemical Engineering
  • Bioengineering
  • Industrial Engineering
  • Petroleum Engineering
  • Aerospace Engineering
  • Construction Management
  • Industrial and Systems Engineering