Internship, Fleet Management Algorithms Engineer, Vehicle Software (Winter/Spring 2027)

Description

What to Consider before Applying

This position is expected to start around January 2027 and continue through the entire Spring term (ending approximately May 2027 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.

International Students: If your work authorization is via CPT, consult your school regarding your ability to work 40 hours per week before applying. You must be able to work 40 hours per week onsite. Many students will be limited to part-time during the academic year.

About the Team

As a member of the Vehicle Controls team, you will work closely with our Fleetnet Team on advancing the capability of Tesla’s in-house fleet-management algorithms that will optimally manage day-to-day operations of our fleet of Robotaxis to maximize customer happiness and operational efficiency.   

You will apply a combination of strong skills in statistical analysis and operations research, to help develop state-of-the-art systems. You will work on problems including developing optimal matching and dispatching policies, and real-time fleet management logic for the Tesla Robotaxi experience.  

Responsibilities

• Analyze large-scale data from our fleet to identify opportunities to improve operational efficiency of the Robotaxi fleet (pickup times, deadhead miles, etc.)  
• Design and implement optimization algorithms to manage Robotaxi fleet operations   
• Collaborate with Tesla Fleetnet Software Engineers to implement and deploy these algorithms at scale  
• Design and implement test plans and tools to measure efficacy and ensure quality of fleet management algorithms  
• Collaborate with Validation teams to ensure regression are prevented and rollouts are successful  
• Technical communication of analysis results and tradeoffs to decision makers and cross-functional teams    

Requirements

• Currently pursuing a degree in Computer Science or a related field with a gradation date between May 2027 – May 2028 
• Fluency with exploratory statistical analysis and testing on large data sets  
• Strong fundamental background and experience in operations research techniques used to solve fleet management/logistics problems  
• Strong evidence of ability to ground-up design, analyze, and implement an optimization scheme for any real-world system  
• Strong understanding of operations research toolchains and their trade-offs  
• Strong evidence of ability to collaborate cross-functionally, work hands-on, and execute on open-ended projects in a fast-paced, resource-constrained environment  
• Proficiency in Python and Golang, and experience in collaborative code development   

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

$50.06 - $58.89 + 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.