About the role#
As a member of the AI Hardware Infrastructure team, you will support AI initiatives by building automation, infrastructure, and services. You will work with AI hardware design and High-Performance Computing teams to accelerate workloads, debug performance bottlenecks, and resolve cluster issues. This is a full-time, on-site internship.
What you'll do#
- Develop Python libraries to automate, monitor, measure, and troubleshoot AI hardware infrastructure workflows.
- Spend approximately half of your time building automation and infrastructure in Python and other languages.
- Debug, experiment, and resolve infrastructure challenges and performance bottlenecks.
- Create and maintain tools for infrastructure, observability, and reporting.
- Triage errors and provide maintainable solutions for internal users.
- Proactively address infrastructure challenges to enhance the scalability and efficiency of AI hardware workloads.
What you'll need#
- Currently pursuing a degree in Computer Science, Physics, Computer Engineering, Mechatronics, or a related field.
- Graduation date between May 2027 and May 2028.
- Strong proficiency in Python and the ability to learn new languages and frameworks.
- Extensive familiarity with Linux administration and internals.
- Experience or a strong interest in automation, observability, and infrastructure development.
- Ability to collaborate with cross-functional teams to debug and optimize complex systems.
Location & details#
- Location: Palo Alto, California.
- Terms: Winter 2027, Spring 2027, or Summer 2027.
- Commitment: Minimum of 12 weeks, full-time (40 hours per week), on-site.
- Compensation: $40.00 - $65.00 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
Applying early at Tesla provides a distinct advantage because recruiters review candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and get seen before the pile grows. Reaching out to the right people often yields better results than submitting to a general queue. Intern Insider surfaces the recruiters behind the company roles so you can contact them directly to ask about the position or a referral, which materially improves your response rates.
