About the role#
As an intern on the SI Infrastructure team, you will help reinforce, optimize, and scale the infrastructure that supports development for FSD and Optimus. You will build the platform used to schedule, monitor, and manage machine learning experiments, data pipelines, and artifacts. This work is central to training neural networks at scale across large GPU clusters.
What you'll do#
- Develop and deploy solutions to scale infrastructure in response to growing demands.
- Build tools to improve the machine learning team's velocity, covering model training, evaluation code, back-end infrastructure, and front-end development.
- Implement monitoring systems to proactively detect and address issues in the production environment.
- Collaborate with ML engineers to align tools with their daily workflow needs.
What you'll need#
- Currently pursuing a degree in Computer Science, Computer Engineering, or a related field, with a graduation date between May 2027 and December 2027.
- Strong knowledge of Python, TypeScript, and Linux.
- Experience with backend infrastructure components like relational databases, in-memory caches, and message brokers.
- Experience building modern web applications using Flask, Django, React, or Redux.
- Experience deploying services on Kubernetes and setting up CI/CD flows.
- Solid understanding of security principles and best practices.
- UI and graphic design sensibilities.
- Experience working with HPC clusters.
- Familiarity with modern agentic workflows and harnesses.
- Knowledge of machine learning, computer vision, or neural networks.
Location & details#
- Location: Palo Alto, California, United States.
- Term: Winter 2027 (January through May 2027).
- Modality: Full-time, on-site.
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.
