Internship, Software Engineer, SI Hardware Infrastructure (Winter/Spring 2027)

About the role

Internship, Software Engineer, SI Hardware Infrastructure (Winter/Spring 2027) | Tesla (Tesla SI)

Location: Palo Alto, California | Req ID: 285076 | Job Type: Intern/Apprentice

What to Expect

Consider before submitting an application

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.

As a member of the AIHW Infra team, you will play a critical role in supporting Tesla's SI hardware initiatives by developing automation, infrastructure, and services. Join a dynamic team of engineers dedicated to accelerating workloads through collaboration with SI 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 SI 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 SI 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 SI 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 May 2027- May 2028
• 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

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$40.00 - $65.00 + benefitsPay 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.