Battery Engineering Intern, Cell Modeling (BS/Masters)

Battery Engineering Intern, Cell Modeling (BS/Masters)
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At Meta Reality Labs, our goal is to explore, innovate and design the hardware for the next generation of virtual, augmented, and mixed reality experiences. The mission of the battery team is to develop power sources for the devices that enable these experiences. We are looking for an experienced and motivated Battery Modeling Intern to join our team who specializes in leveraging the principles of electrochemistry to maximize the utilization of Li-ion batteries in our products. In this role, you will develop battery cell models and identify ways to optimize the modeling process to generate accurate models quickly in order to aid the design iteration process. You will apply your knowledge, experience and expertise to solve complex engineering and technological challenges. Our internships are twelve (12) to sixteen (16) weeks long.
Battery Engineering Intern, Cell Modeling (BS/Masters) Responsibilities
  • Collaborate with cell, algorithm, and validation engineers to generate multi-RC equivalent circuit models of battery cells
  • Propose ways to experimentally identify parameters quickly and efficiently and validate accuracy of models
  • Leverage insights from electrochemistry to propose newer modeling techniques and compare efficacy of various techniques
Minimum Qualifications
  • Currently has, or is in the process of obtaining, a PhD in engineering, materials science, chemistry, physics, or related field
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Experience with equivalent circuit modeling of Li-ion cells, including parameter estimation, using commercial modeling tools such as MATLAB, Python, etc.
  • Knowledge of Li-ion technology, electrochemistry, and battery testing
  • Interpersonal skills: cross-group and cross-culture collaboration
Preferred Qualifications
  • Currently has, or is in the process of obtaining, a Bachelors or Masters degree in engineering, materials science, chemistry, physics, or related field
  • Experience with using data driven AL/ML algorithms for battery control and battery health diagnostics
  • Knowledge of control and estimation theory, model order reduction techniques and their application to Li-ion battery modeling.
  • Knowledge of efficient optimization methods and adaptive control techniques for real-time battery management suited for implementation on memory constrained ICs
  • Familiarity with cell/battery testing equipment (Maccor, Arbin, Neware, BioLogic, or equivalent)
  • Intent to return to degree-program after the completion of the internship/co-op
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

$error/year to $11,134/month + benefits We apologize for the inconvenience, please be patient as we work to correct the issue.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.


Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.