Job Description

What to Expect

Consider before submitting an application:

This position is expected to start around January 2027 and continue through the Winter/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 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.

About the Team

Tesla’s AI Data Infrastructure team is charged with collecting and processing the data that fuels the development of Full-Self-Driving (FSD) and our Humanoid robot. Every car and robot includes a sophisticated sensor suite and internet connectivity. This allows us to gather data from our fleet of millions of vehicles around the world to feed the training of our Neural Networks, providing Tesla with a significant competitive advantage in the race to full autonomy. The Telemetry team is responsible for the full lifecycle of this data: from specifying interesting events for data collection, to efficiently recording as much relevant data as possible on our embedded autopilot computer, to processing the data in the cloud.

What You’ll Do

• Influence architectural decisions with a focus on security, scalability, reliability, and high performance, contributing to the enhancement of our data processing infrastructure
• Choose technologies that will allow us to scale with our growing fleet of vehicles while efficiently utilizing cloud infrastructure and managing costs
• Collaborate closely with the other Autonomy teams to design and implement backend components required for future Autonomy features and processes
• Setup monitoring, metrics & reporting systems for fine-grained observability and actionable alerting, from car to cloud
• Author bullet-proof automated tests that will allow us to continue to merge and deploy with confidence

What You’ll Bring

• Currently pursuing a degree in Computer Science, Computer Engineering, or relevant field of study with a graduation date between May 2027 - May 2028
• Must be able to relocate and work on site in Palo Alto, CA
• Practical experience using application layer languages like C++, Go, Python, Scala, Java
• Experience with Linux, networking, storage, and virtualization automation with tools like Kubernetes, Terraform, Ansible, Puppet or similar
• Experience with databases and search indexes like PostgreSQL, DynamoDB, ElasticSearch, Redis

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

$125000.00 - $125000.00 + 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.