Internship, Software Engineer, SI ML Platform (Winter/Spring 2027)

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.

- 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

- 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

Benefits

As a full-time Tesla Intern, you will be eligible for:

- Medical plans > plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution
- Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k), Employee Stock Purchase Plans, and other financial benefits
- Company Paid Basic Life, AD&D, and short-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Commuter benefits
- Employee discounts and perks program
- Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)
Expected Compensation $100000.00 - $150000.00 + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.