Cell Engineering Intern
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Job Description
About Tesla’s Internship Program:
Tesla’s Internship Recruiting Team focuses on identifying and developing emerging talent. Their year-round program places students in positions for technical, professional, and personal growth. Interns work closely with managers, mentors, and teams on projects critical to the team’s success, experiencing life at Tesla firsthand.
About the Cell Engineering Internship:
The Cell Engineering team at Tesla seeks a highly motivated intern to contribute to fundamental improvements in understanding battery cell function. This is a demanding, fast-paced role within a world-class team developing Tesla’s battery technology. The position centers on analyzing and interpreting battery test and image data. Responsibilities include:
• Data Analysis and Interpretation: Identifying, analyzing, and interpreting trends and patterns in complex datasets; creating dashboards and reports to illustrate findings.
• Software Development: Writing efficient SQL/Python code and complex queries for extensive datasets; developing software to improve workflows; automating analyses and creating pipelines using SQL, Python, and Airflow-based ETL frameworks.
• Collaboration: Working effectively with engineers to conduct end-to-end analyses, from data requirement gathering to data processing and modeling.
• Improving Analysis: Enhancing the robustness of automated analysis pipelines.
• Driving Recommendations: Designing tests and analyzing data to explore fundamental battery degradation modes and provide actionable recommendations to improve vehicle performance and quality.
Job Requirements:
• Currently pursuing a degree in Computer Science, Data Science, or a related field.
• Significant, demonstrated technical contributions to past projects.
• Programming experience with Python (preferred), MATLAB, and/or JavaScript.
• Experience with continuous integration/continuous deployment.
• Familiarity with dev-ops tools (Git, Jenkins, Docker, Kubernetes, Splunk, Redis).
• Experience with distributed computing (Spark/Hive/Hadoop).
• Experience creating data products and dashboards in Tableau, R Shiny, or D3.
• First-principles understanding of engineering concepts with relevant project/research experience.
• Excellent communication skills (verbal and written).
• Ability to work independently on multiple projects with complex requirements.
