Internship, SI Software Engineer, Core Infrastructure (Winter/Spring 2027)
teslaPalo Alto (CA)
$125000.00
Apply (opens in a new tab)Internship, SI Software Engineer, Core Infrastructure (Winter/Spring 2027)
Posted 7 days ago
teslaPalo Alto (CA)
SENIORITY
Intern
SALARY
$125000.00
About the role
Core Infrastructure InternThis 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.
About the Team:
The Core Infrastructure team empowers our Autonomy organization in accelerating the iteration, validation, and release of Robotaxi & Optimus features. This includes orchestrating millions of jobs across distributed compute clusters, managing thousands of Tesla AI computers, designing & maintaining CI/CD pipelines for deployment and release, enabling "developer" sessions for our custom FSD hardware, and advancing software development through AI Agentic workflows. The team also focuses on building resilient backend systems with high-availability, high-throughput and low end-to-end latency.
Responsibilities:
- Design & bring up AI Agentic workflows that spans across all stages of development from triaging issues to shipping features
- Design & implement backend infrastructure to handle iteration and batch processing of inference, simulation, and evaluation workloads based on real-world sensor data
- Influence architectural decisions with focus on security, scalability, reliability and high performance
- Setup & maintain monitoring, metrics and reporting systems for fine-grained observability/actionable alerting
- Work closely with the other Autopilot teams to design & implement backend components required for future features/processes
Requirements:
- Currently pursuing a degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering or a related field of study with a graduation date between May 2027 – May 2028 Proficiency with Python and/or Golang
- Experience with Linux especially in networking, virtualization and filesystems
- Experience with container orchestration tools like Kubernetes and deployment tools like Ansible or similar
- Experience with concurrency programming
- Experience with data stores like PostgreSQL and Redis
- Familiarity with CI/CD systems such as Teamcity or Github Actions is a plus
Compensation & 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 HSAHealthcare 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.
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