What To Expect
Consider before submitting an application:
This position is expected to start around August 2025 and continue through the entire Fall term (i.e. through December 2025) or into Spring 2026 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most internships.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.
The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success.
About The Team
Battery Cells are the common denominator for every Tesla product. Our product requirements demand ground-up cell architectures with state-of-the-art performance, manufactured at volumes that are orders of magnitude higher than the products they power. Our environment is fast-paced and incredibly exciting. Tesla moves quickly, so being passionate and self-motivated to push your limits is critical. Our team works alongside engineering groups across various disciplines, requiring strong communication skills and a team-first mentality. You will work alongside seasoned industry experts, high aptitude recent graduates, and people from every stage in between.
We are seeking a highly motivated quality person to help continuously drive improvements to 4680 quality by gathering and utilizing data from downstream customers as well as the fleet of 4680 products. This person will track all opportunities to improve quality and drive those improvements to the product and process. They will also work with fleet analytics to build and maintain a model for product warranty and relative failure modes. This person is seasoned in manufacturing quality or reliability engineering for high reliability applications such as Li-ion cells, medical or a similar field with several years’ experience.
What You'll Do
Collaborate with cross-functional software and data teams to design LLM-powered tools that enhance problem-solving efficiencyAnalyze and interpret high volume manufacturing data from various sources and assembly operations to extract useful statistics and insights about the operationWork effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modelingInterpret data, analyze results using statistical techniques and provide ongoing reportsMonitor key product metrics, understanding root causes of changes in metricsIdentify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reportsCreate and maintain standardized reporting tools for the operation, providing results on the health of the business for various audiences, including senior managementAcquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysisDrive underlying data systems improvement by working with key cross-functional stakeholdersPerform data quality validations to ensure data creationProactively identify improvement opportunities (potential gaps between process and system) across all business functions, developing tools that allow for visibility into process bottlenecks and inconsistenciesWork closely with controls, process, and quality engineers to develop and improve data collection activities and reporting tools within a high volume manufacturing environmentWork with management to prioritize business and information needs
What You'll Bring
Degree in quantitative discipline (e.g. Computer Science, Computer Engineering, Business Analytics, Mathematics, Physics, Engineering, Statistics) or the equivalent in experience and evidence of exceptional abilityPython Programming: Strong proficiency in Python for agent development, data processing, and system integrationMachine Learning & AI: Familiarity with LLMs, prompt engineering, and AI agent architectures and popular frameworksDatabase Experience: Working knowledge of SQL databases and vector databases. Understanding of vector database principles and semantic searchData Integration: Experience connecting to data sources (e.g., APIs, databases)Version Control: Proficiency with Git and collaborative development workflowsA passion and curiosity for data, machine learning and data-driven decision makingBe a team player and have the ability to collaborate well across diverse functional groupsStrong verbal and written communication skills to manage and communicate the health and integrity of the data and systems
Benefits
Compensation and Benefits
As a full-time Tesla Intern, you will be eligible for:
Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k), Employee Stock Purchase Plans, and other financial benefits Company Paid Basic Life, AD&D, and short-term disability insurance Employee Assistance Program Sick time after 90 days of employment and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Commuter benefits Employee discounts and perks program
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