Summary
At Meta Reality Labs, our goal is to explore, innovate and design the hardware for the next generation of AI glasses, wearables, and 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 a highly motivated Battery Algorithm Intern with a background in battery modeling, state estimation, and controls to join our team.
In this role, you will develop, implement, test, and validate new battery algorithms that improve run time, reduce charge time, improve performance across temperature, and extend battery life.
You will also build agentic workflows that speed up how we model, test, and validate batteries.
You will apply your knowledge, experience, and expertise to solve complex engineering and technological challenges.
Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
Required Skills
Battery Algorithms Engineering Intern Responsibilities:
Collaborate with cell, algorithm, and validation engineers to develop and validate battery models, such as multi-RC equivalent circuit models, that guide battery design decisions
Propose ways to identify model parameters quickly and efficiently from experimental data, and validate model accuracy
Leverage battery models to estimate battery life and power delivery capability across operating conditions such as temperature, state of charge, and aging
Develop and validate battery algorithms that improve performance metrics such as charge time, cycle life, and run time
Analyze field battery telemetry to assess the performance of existing algorithms and derive representative use cases that guide the development of new ones
Leverage insights from electrochemistry to propose current modeling and estimation techniques, and compare their efficacy
Design agentic workflows, with human-in-the-loop review, that automate repetitive battery engineering tasks such as test data processing,



model parameter identification, model validation, and field telemetry triage
Package battery models, simulations, and analysis scripts as tested, well-documented tools that both engineers and AI agents can use reproducibly
Minimum Qualifications
Currently pursuing a Ph.D. degree in engineering, mechanical engineering, materials science, chemistry, physics, or a related field
Knowledge of Li-ion battery technology, including electrochemistry, electrical characteristics, and battery testing
Experience with equivalent circuit modeling of Li-ion cells, including parameter estimation
Knowledge of control and estimation theory and its application to Li-ion battery modeling
Proficiency with scripting, data processing, and dynamic simulation in MATLAB and/or Python
Hands-on experience using AI tools, such as LLM-based coding assistants or agents, as collaborators to accelerate research or engineering work
Interpersonal skills and experience working effectively in a dynamic, team-oriented environment
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Intent to return to full-time degree program after completion of the internship
Preferred Qualifications
Experience developing battery management algorithms, such as state-of-charge, state-of-health, or charging algorithms
Experience developing test plans to validate algorithms for battery management systems
Working knowledge of battery fuel gauge algorithms used in consumer electronics, including those from common fuel gauge vendors
Experience with embedded programming in C/C++,



unit testing, and firmware integration
Knowledge of model order reduction, efficient optimization methods, and adaptive control techniques for real-time battery management on memory-constrained ICs
Experience applying data-driven or physics-informed AI/ML methods to battery modeling, control, and health diagnostics
Experience designing AI agents and agentic workflows, for example with tool calling, Model Context Protocol (MCP) servers, retrieval, or multi-agent orchestration
Experience evaluating and safeguarding AI outputs, such as designing evals, test cases, or quality checks that catch errors before results are used
Familiarity with cell/battery testing equipment (Maccor, Arbin, Neware, BioLogic, or equivalent)
Prior internship or work experience in high-volume consumer electronics
Public Compensation
$7,313/month to $12,667/month + benefits
Industry
Internet
Equal Opportunity
Meta is proud to be an Equal Employment Opportunity and employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Meta participates in the E-Verify program in certain locations, as required by law.
Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
If you need any assistance or accommodations due to a disability, please let us know at ******.
#J-*****-Ljbffr

📌 Battery Algorithms Engineering Intern (Western Australia)
🏢 Meta for Work
📍 Western Australia