About the role#
This is a full-time, on-site internship based in Fremont, California. You will join the Cell Engineering team to work on projects that impact our manufacturing lines. We expect a minimum commitment of 12 weeks during the Winter and Spring 2027 terms, with potential for extension into Summer 2027.
What you'll do#
- Build predictive models and simulation tools that combine physics-based principles with data-driven methods.
- Use machine learning and statistical techniques to analyze production data, identifying trends and ways to improve quality.
- Create automation tools that monitor our cell manufacturing lines in real time.
- Partner with cross-functional teams to deploy analytical solutions that improve product quality and manufacturing efficiency.
What you'll need#
- Current pursuit of a degree in Mechanical Engineering, Chemical Engineering, Data Science, or a related field.
- Proficiency in SQL, JMP, MATLAB, and Python, including libraries like scikit-learn, TensorFlow, and PyTorch.
- Understanding of data analysis, battery technology, energy storage, or electrochemical systems.
- Experience with computational modeling or physics-informed machine learning.
- Familiarity with quality control methodologies or manufacturing processes.
- Strong problem-solving skills and attention to detail.
- Ability to work independently and explain technical concepts to others.
- Previous project or internship experience in a manufacturing environment is a plus.
Location & details#
- Location: Fremont, California.
- Term: Winter 2027 and Summer 2027.
- Modality: On-site, full-time (40 hours per week).
- Compensation: $20.00 - $50.00 per hour plus benefits.
About Tesla
Tesla produces electric vehicles, battery storage systems, and solar energy products. Founded in 2003, the company operates six vertically integrated factories across three continents. It is headquartered in Austin, Texas, and employs over 10,000 people. The organization designs, manufactures, sells, and services its products internally.
How to get in at Tesla
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