Tesla is looking to leverage large-scale data and models to help engineers design and validate compelling and reliable products for their customers. The intern will work with real-time test, factory, and fleet data to develop statistical models that inform decision-making on prognostics and targeted design actions, ultimately impacting millions of Tesla customers.
Requirements
- Excellent SW skills and proficiency in writing production-quality code in Python
- Excellent understanding of linear algebra, probabilistic theory, numerical optimization, and deep learning, with hands-on implementation experience
- Practical experience with a low-level (C, Rust) and database (SQL) programming languages
- Familiarity with PySpark and Big Data frameworks
- Familiarity with CI/CD
- Ability to code robust apps (potentially interfacing with data streams)
- General knowledge of physics and engineering principles
Responsibilities
- Design, develop, train, and deploy predictive / control models of physical degradation, usage and system performance
- Build robust, flexible and automated software tools to enable complex analysis of real-time fleet
- Design scalable and reliable data pipelines to productionize and monitor both new and existing models
- Answer complex questions on fleet usage and behavior to enable proactive monitoring, grow reliability, and minimize field failures
- Build visualizations to effectively communicate results
Other
- Pursuing a degree in Computer Science or Engineering in a related field
- Minimum of 12 weeks, full-time and on-site
- Must be able to work 40 hours per week on-site
- International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying.