New

Internship, Fullstack Software Engineer, Machine Learning Platform, AI Infrastructure (Summer 2026)

Tesla Motors, Inc.
100,000 - 150,000 USD
paid holidays, flex time, 401(k)
United States, California, Palo Alto
Feb 19, 2026
What to Expect Consider beforesubmittingan application: This position is expected to start May 2026 and continue through summer term (ending approximately August 2026 or later, if available). 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. As an Intern within the Autopilot AI Infrastructure team, you will work on reinforcing, optimizing, and scaling our infrastructure components supporting AI research activities for Autopilot and the Optimus. At the core of our autonomy capabilities are neural networks that the research team is 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, manage and monitor machine learning experiments, data pipelines and artifacts. What You'll Do Architect and implement scalable, user-friendly tools for AI workflows to track and visualize the lifecycle of machine learning experiments and models Build robust tools and infrastructure to improve the machine learning team's velocity. This includes training and evaluation code in Python to back-end and front-end work in JavaScript Collaborate closely with ML engineers to ensure tools are aligned with research needs Design dashboards to provide real-time insights into performance and progress for our ML engineers and leadership Coordinate required hardware resources with the team managing the cluster hardware to maintain high availability What You'll Bring Pursuing a degreein Computer Science, Computer Engineering, or related field of study with a graduation date between December 2026- August 2027 Strong knowledge of Python, React, 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 Knowledge of machine learning, computer vision, or neural networks Compensation and Benefits 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 Expected Compensation $100,000 - $150,000/annual salary + 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.