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Internship, Data Analytics & Test Engineer, Cell Engineering (Fall 2024)

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Posted : Friday, September 15, 2023 02:31 AM

Tesla participates in the E-Verify Program What to Expect Consider before submitting an application: This position is expected to start around August 2024 and continue through the entire Fall term (i.
e through December 2024).
We ask for a minimum of 12 weeks, full-time (40 hours/week) 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.
Many students will be limited to part-time depending on their academic standing.
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.
Multiple Locations Possible: Palo Alto, CA; Fremont, CA; Austin, TX; Reno, NV; Toronto, ON What You’ll Do Qualified applicants may be reviewed by one or more of the following teams: Data and Test Engineering As part of the cell modeling tema, this person will be working on battery pouch cell testing and analysis to improve fundamental understanding of different materials.
Specifically, said person will be responsible for building robust data pipelines to aggregate test input parameters, execute and manage on-going testing and provide preliminary data analysis to highlight data quality.
Experience with databasing and/or data analysis in Python and/or SQL languages.
Document and communicate data pipeline packages Data Engineering Tesla is looking for a data engineering intern to help build the data infrastructure required for running the formation process within Tesla Cell Manufacturing.
In this role, you will develop the applications and data pipelines which collect and store data from millions of cells, calculate metrics from the raw data to be used for determining cell quality/performance, and provide observability into the process.
In particular, you would be responsible for building out data pipelines which support equipment, process, and data health monitoring as well as support the development of services which determine cell quality through the process.
You will collect and analyze data in real time to deliver cell metrics that ensure quality and performance limits are measured and enforced for cells leaving the factory.
Proficiency in SQL and the scientific Python stack (e.
g.
NumPy, SciPy, pandas, Matlotlib, Jupyter) Experience with Git or other source control software.
Familiarity with data pipelines (e.
g.
Airflow), REsT APIs, database, concetps, CI/CD is preferred Formation Quality Data Engineering As an intern on a multi-disciplinary team, your projects will involve the whole life cycle of cells, from manufacturing, to beginning-of-life and long-term characterization, to usage in fleet.
Specifically, this role involves modeling of highvolume manufacturing data to extract the most information-rich metrics from cells, improve the accuracy of cell performance predictions, and support data-driven decisions on formation development.
Basic knowledge of electrochemistry and/or batteries.
Demonstrated programming experience with Python and familiar with the scientific Python stack (scipy, pandas, scikit-learn, etc.
) Data Analytics Engineer As part of the Cell Manufacturing Analytics team, you will get to: Define critical components of the data architecture that will support Tesla’s cell manufacturing gigafactories across the world.
Leverage the vast amounts of data generated throughout the cell manufacturing process and data from the global Tesla vehicle fleet to help Tesla design and produce safer, lower-cost, and high-performance cells.
Data pipelines/automated ETL processes (MySQL, Spark, Airflow, Kafka) Data visualization experience (e.
g.
, Tableau, Grafana, Matplotlib, JavaScript, Python, JMP) Cell Qualification The cell qualification team at Tesla is looking for a highly motivated intern to contribute to further the understanding of lithium-ion cell performance through cell testing and data analysis.
They will develop cell test plans to characterize initial cell performance and their capacity fade and impedance growth over life, develop test methods and test protocols/schedules, help plan test resources and execute to the plan, and consume and analyze the results.
Prior experience in battery/cell technology is preferred.
Experience in programming and data analysis is preferred What You’ll Bring Currently pursuing a degree in Computer Science, Mathematics, Statistics, Physics, Data Science, Chemical Engineering, Electrical Engineering, or a related field Compensation and Benefits 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) LGBTQ+ care concierge services 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 Expected Compensation $20.
00 - $60.
00 + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
The total compensation package for this position may also include other elements dependent on the position offered.
Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities.
Please let your recruiter know if you need an accommodation at any point during the interview process.

• Phone : NA

• Location : Palo Alto, CA

• Post ID: 9098376055


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