Category	Tesla SI
Location	Palo Alto, California
Requisition ID	289478
Type	Intern/Apprentice

Job Description

This position is expected to start January 2027 and continue through Spring term (ending approximately May 2027) or continuing into Summer 2027 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time (40 hours/week) 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. 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. Internship Program at Tesla 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 are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success.About the team: As an Intern within the Tesla SI Infrastructure team, you will work on reinforcing, optimizing, and scaling our infrastructure components that support SI development for FSD and Optimus. At the core of our autonomy capabilities are neural networks that the ML engineers are designing to train on very large amounts of data, across large-scale GPU clusters. Robustly training these models at scale and in the shortest amount of time is critical to our mission. We are building out the Machine Learning Platform that our engineers and leadership use to schedule, monitor and manage machine learning experiments, data pipelines and artifacts.

Job Responsibilities

Develop and deploy solutions to scale our infrastructure effectively in response to rapidly growing demands
Build robust tools and infrastructure to improve the machine learning team's velocity. This ranges from running model training and evaluation code to back-end infrastructure and front-end work
Drive implementation of best practices and monitoring systems to proactively detect and address issues in our production environment
Collaborate closely with ML engineers to ensure tools are aligned with their daily workflow needs

Job Requirements

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 working with backend infrastructure components (relational databases, in-memory caches, message brokers)
Experience building modern web applications using Flask/Django and React/Redux or similar component-based libraries
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

Tesla

Software Engineer Intern - SI ML Platform

About the Job

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Job Description

Job Responsibilities

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About the Company

Tesla

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