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<p>Consider before submitting an application:</p> <p>This position is expected to start around January 2026 and continue through the Winter/Spring term (ending approximately May 2026) or continuing into Summer 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.</p> <p>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.</p> <p>Internship Program at Tesla</p> <p>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 provide an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their teams success.</p> <p>The Cell Engineering team at Tesla is looking for a highly motivated intern to contribute to fundamental improvements on our knowledge of how cells work. Tesla is a demanding and fast-paced environment where you will work with a world-class team developing Teslas battery technology. This role is focused on analysis and interpretation of battery tests and image data. Your work may include developing software to improve workflows, analyzing large datasets generated from our test labs, creating data visualizations, and improving the robustness of our automated analysis pipeline. The ideal candidate will combine strong knowledge of engineering fundamentals with software programming. Teamwork, analytical ability, organizational skills, and attention to detail are all highly valued skills. Individuals at every level carry a tremendous amount of responsibility and should look forward to learning an incredible amount on the job.</p> <ul> <li> <p>Designing tests and analyzing data to explore fundamental battery degradation modes or drive actionable recommendations to improve vehicle product performance/quality</p> </li><li> <p>Identify, analyze, and interpret trends of patterns in complex data sets and depict the story via dashboards and reports</p> </li><li> <p>Write efficient SQL/Python code and complex queries across extensive data sets</p> </li><li> <p>Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling</p> </li><li> <p>Automate analyses and author pipelines using SQL, Python, and Airflow based ETL framework</p> </li><li> <p>Currently pursuing a degree in Computer Science, Data Science or a related field</p> </li><li> <p>Significant, demonstrated technical contributions towards past projects</p> </li><li> <p>Programming experience with Python (preferred), MATLAB, and/or JavaScript</p> </li><li> <p>Experience with continuous integration / continuous deployment</p> </li><li> <p>Some familiarity with dev-ops tools: Git, Jenkins, Docker, Kubernetes, Splunk, Redis</p> </li><li> <p>Experience with distributed computing (Spark/Hive/Hadoop)</p> </li><li> <p>Experience creating data products and dashboards in Tableau, R Shiny, or D3</p> </li><li> <p>First principles understanding of engineering concepts with relevant project/research experience</p> </li><li> <p>Excellent communication skills, both verbal and written</p> </li><li> <p>Ability to work independently on multiple projects with complex requirements</p> </li></ul>
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The first step is to SIGN UP so that you can manage all your job postings under your profile.
If you already have an account, you can LOGIN to post a job or manage your other postings.
Thank you for helping us get Americans back to work!