About the role#
This internship focuses on the development of power sources for next-generation wearables and augmented reality hardware. You will join the battery team to create, test, and validate algorithms that manage power delivery, run time, and charging performance. You will also build automated agentic workflows to improve how the team processes data and validates models.
What you'll do#
- Collaborate with cell, algorithm, and validation engineers to build battery models like multi-RC equivalent circuits.
- Identify model parameters from experimental data and confirm model accuracy.
- Use battery models to estimate power delivery and life across different temperatures, states of charge, and aging conditions.
- Develop algorithms to improve charge time, cycle life, and device run time.
- Analyze field telemetry data to assess algorithm performance and identify new use cases.
- Apply electrochemistry insights to propose and compare modeling and estimation techniques.
- Design agentic workflows with human-in-the-loop review to automate tasks like test data processing and telemetry triage.
- Package simulations and analysis scripts into reproducible, documented tools for use by engineers and AI agents.
What you'll need#
- Current enrollment in a Ph.D. program for engineering, materials science, chemistry, physics, or a related field.
- Knowledge of Li-ion battery technology, including electrochemistry, electrical characteristics, and testing methods.
- Experience with equivalent circuit modeling and parameter estimation for Li-ion cells.
- Proficiency in control and estimation theory as applied to battery modeling.
- Scripting and data processing skills in Python or MATLAB.
- Experience using AI tools or LLM-based coding assistants to accelerate engineering work.
- Ability to work effectively in a team environment.
- Intent to return to a full-time degree program after the internship.
- Experience with battery management algorithms, embedded C/C++, or firmware integration is preferred.
- Familiarity with AI agent design, physics-informed ML, or battery testing equipment like Maccor or Arbin is a plus.
Location & details#
- Locations: Sunnyvale, California or Redmond, Washington.
- Status: Full-time internship.
- Duration: 12 to 24 weeks.
- Work authorization: Must obtain and maintain work authorization in the country of employment.
About Meta
Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.
How to get in at Meta
Landing an internship at Meta requires a proactive approach to the application process. Intern Insider sends an instant alert the moment a role matching your target is published, allowing you to apply among the first. Early applicants often have their materials reviewed before the applicant pool grows significantly. You can use Intern Insider to surface the recruiters behind specific roles at Meta. Reaching out directly to these individuals to ask about the position or a referral often improves your response rates compared to applying into a queue.
