Internship, Rendering Engineer, Ai Simulation (Summer 2025)

Consider before applying:

This position is expected to start in May/June and continue through Aug/Sep. Internships are in-person for 40 hours a week for a minimum of 12 weeks.

International Students: If your work authorization is through CPT, please consult your school before applying. You must be able to work 40 hours per week. Many students will be limited to part-time depending on their academic standing.

The Internship Recruiting Team is driven by the passion to recognize emerging talent. Our year-round program places the best students in positions that they will grow both technically and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows for the intern to experience life at Tesla by giving them ownership over projects that are critical to their team's success.

About The Team

Full Self-Driving (FSD) is of critical importance to Tesla's mission. It is safer, makes driving more enjoyable, and will ultimately deliver on the promise of self-driving cars. As a member of Tesla's Autopilot Simulation team, you will be in a unique position to accelerate the pace at which Autopilot improves over time. The main ways in which the simulation team realizes this is through building tools that enable Autopilot software developers to perform virtual test drives instead of real ones, testing all FSD software releases for regressive behavior and generating synthetic data sets for neural network training.

As a Software Engineer on the Simulation team, you will contribute to the development of the simulation by building models and simulation tools that are capable to virtually prototype the system for fast, iterative development and robust validation. Your responsibilities will be split between feature creation and tool development to allow for quicker workflow across the team.

Responsibilities

• Contribute to the development of a modular, scalable simulation platform
• Work with all members of the Autopilot team to understand the simulation requirements and develop tools to meet those needs
• Keep up to date with the latest research/technologies in the fields of autonomous driving and simulation
• Contribute to team member development through leadership
  
  

Requirements

• Pursuing a degree in Computer Science, Computer Engineering, or relevant field of study with a graduation date between 2025 -2026
• Must be able to relocate and work on site in Palo Alto, CA
• Excellent software development skills in C++ and Python
• Experience developing and delivering applications/simulation tools in an engineering application
• Experience of hardware-in-the-loop simulation
• Experience with raytracing, surface appearance models
• Strong mathematical skills including linear algebra and numerical methods
• Comfortable with Linux & Git
• Experience in modeling one or more of: vehicle dynamics, sensors, control systems, stochastic systems
  
  

Benefits

Compensation and Benefits

As a full-time Tesla Intern, you will be eligible for:

• Aetna PPO and HSA plans > 2 medical 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
• Employee Assistance Program
• Sick time after 90 days of employment 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

$100000.00 - $150000.00 + 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.