New

Internship, Software Engineer, AI Hardware Infrastructure (Fall 2026)

Tesla Motors, Inc.
40.00 - 65.00 USD
paid holidays, flex time, 401(k)
United States, California, Palo Alto
Jun 03, 2026
What to Expect Consider before submitting an application: This position is expected to start August or September 2026 and continue through summer term (ending approximately December 2026) or continuing into Winter/Spring 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. As a member of the AIHW Infra team, you will play a critical role in supporting Tesla's AI hardware initiatives by developing automation, infrastructure, and services. Join a dynamic team of engineers dedicated to accelerating workloads through collaboration with AI HW design teams and High-Performance Computing (HPC) groups. Your primary focus will be building robust infrastructure solutions, while also assisting in debugging performance bottlenecks and root-causing cluster issues as needed. The ideal candidate is a proactive engineer with a passion for creating scalable, efficient systems. What You'll Do Developing Python libraries to automate, monitor, measure, and troubleshoot workflows on AI hardware infrastructure Spending approximately 50% of time building automation and infrastructure, primarily in Python and other languages, with the remaining time focused on debugging, experimentation, and resolving infrastructure challenges and performance bottlenecks Creating and maintaining tools for infrastructure, automation, observability, and reporting to ensure system reliability and performance Collaborating with AI HW design and HPC teams to identify, debug, and resolve performance bottlenecks and cluster issues Supporting internal users by triaging errors, root-causing issues, and providing effective, maintainable solutions Proactively addressing potential infrastructure challenges to minimize user impact and enhance scalability and efficiency of AI hardware workloads What You'll Bring Currently pursuing a degree in Computer Science, Physics, Computer Engineering, Mechatronics or related fields with a graduation date between December 2026- August 2027 Strong proficiency in Python and adaptability to learn new languages and frameworks Extensive familiarity with Linux administration and internals Experience or strong interest in automation, observability, and infrastructure development and deployment Ability to collaborate effectively with cross-functional teams to debug and optimize complex systems 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 $40.00 - $65.00/hour + 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.