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Internship, Rendering Engineer, AI Simulation (Summer 2025)

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Tesla

Feb 6, 2025

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Software Engineering
    IT & Cybersecurity
  • Palo Alto

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

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

FAQs

What is the duration of the internship?

The internship is expected to start in May/June and continue through August/September, lasting a minimum of 12 weeks.

Is the internship in-person or remote?

The internship is in-person, requiring interns to work on-site for 40 hours a week.

Are international students eligible to apply?

Yes, international students can apply, but they must consult their school regarding work authorization through CPT. They must also be able to work 40 hours per week.

What academic background is required for this internship?

Candidates must be pursuing a degree in Computer Science, Computer Engineering, or a relevant field of study, with graduation dates between 2025 and 2026.

What programming languages are required for this position?

Excellent software development skills in C++ and Python are required for this internship.

Is experience in hardware-in-the-loop simulation necessary?

Yes, experience with hardware-in-the-loop simulation is one of the preferred qualifications for this position.

What are the expected responsibilities of this internship?

Interns will contribute to the development of a modular, scalable simulation platform, understand simulation requirements of the Autopilot team, and contribute to team member development through leadership.

What compensation can interns expect?

Interns can expect a salary in the range of $100,000 - $150,000 per year, plus benefits.

What type of benefits are included with the internship?

Benefits include medical, dental, and vision plans, flexible spending accounts, 401(k), paid holidays, sick time, and various voluntary benefits among others.

What skills are important for this role?

Important skills include strong mathematical skills (including linear algebra and numerical methods), comfort with Linux and Git, and experience in modeling vehicle dynamics, sensors, control systems, or stochastic systems.

Tesla’s mission is to accelerate the world’s transition to sustainable energy.

Automotive
Industry
10,001+
Employees
2003
Founded Year

Mission & Purpose

Tesla’s mission is to accelerate the world’s transition to sustainable energy through increasingly affordable electric vehicles in addition to renewable energy generation and storage. California-based Tesla is committed to having the best-in-class in safety, performance, and reliability in all Tesla cars. There are currently over 275,000 Model S, Model X and Model 3 vehicles on the road worldwide. To achieve a sustainable energy future, Tesla also created infinitely scalable energy products: Powerwall, Powerpack and Solar Roof. As the world’s only vertically integrated energy company, Tesla continues to innovate, scale and reduce the costs of commercial and grid-scale systems, with the goal of ultimately getting us to 100% renewable energy grids.