Internship, Software Engineer, Automated Diagnostics Intern (fall 2026)

Tesla Tesla · Auto · PALO ALTO, CA · Vehicle Software

This internship focuses on building and improving diagnostic tools and procedures for Tesla vehicles, with a specific emphasis on automating remote diagnostics and service appointments. The role involves owning the customer experience from the Tesla App entry point to providing self-service solutions or automating service appointments. It requires hands-on experience with Applied Machine Learning, including model deployment and inference pipelines, within a backend development context.

What you'd actually do

  1. Committed to building out the capabilities for quickly and accurately diagnosing vehicle issues remotely with limited customer interaction
  2. Owning the entire customer experience, from the entry point in the Tesla App to the providing solutions for self-service
  3. Automating service appointments when a repair is necessary

Skills

Required

  • Python
  • API Development
  • Distributed Systems principles and architectures
  • Applied Machine Learning (model deployment, inference pipelines, or ML system integration)
  • Backend development expertise with production-grade services
  • event-driven systems (e.g., Kafka, RabbitMQ, or similar)
  • databases (SQL and NoSQL)
  • observability (monitoring, logging, tracing)

Nice to have

  • Computer Engineering
  • Computer Science
  • customer experience
  • user-facing systems
  • critical thinking
  • problem solving
  • communication skills
  • troubleshooting failures
  • improving code quality
  • optimizing system efficiency

What the JD emphasized

  • Applied Machine Learning
  • model deployment
  • inference pipelines
  • ML system integration
  • observability

Other signals

  • Applied Machine Learning
  • model deployment
  • inference pipelines
  • ML system integration