What To Expect
Consider before submitting an application:    

This position is expected to start May 2026 and continue through summer term (ending approximately August 2026 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 internship.

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. to experience life at Tesla by giving them ownership over projects that are critical to their team’s success.

As an Integration Engineer on the Autonomy team, you’ll be working at the intersection of AI, robotics, and systems integration, bringing Tesla’s cutting edge technology to life across both vehicle and robotic platforms. This role blends software development, system level problem solving, and cross functional collaboration to ensure seamless performance across our full autonomy stack. You’ll work closely with teams spanning hardware, AI, controls, and safety to develop and implement features that push the boundaries of what’s possible in autonomous systems.

What You'll Do

Write, debug, and maintain robust C/C++ software for the Autopilot and humanoid robot software stack

Integrate Autopilot features and controls with user interfaces and other vehicle systems

Develop and iterate on new features through simulation, validation, and fleet data analysis

Optimize feature effectiveness while minimizing power consumption

Bring up Autonomy features on new vehicle and compute platforms

What You'll Bring

Industry experience developing in C/C++, including modern standards (C++14/17/20), multithreading, and Python; familiarity with CUDA or OpenCL is a strong plus

Solid understanding of embedded systems architecture and real time software design principles

Working knowledge of computer vision, machine learning, and their practical applications in real world systems is a strong plus

Experience with automotive communication protocols such as CAN, Ethernet, and TCP/IP

Proficient in Linux based software development, with additional experience in embedded Linux environments and cross compilation toolchains considered a plus

Currently pursuing a degree in Computer Science, Physics, Computer Engineering or related fields with a graduation date between December 2026- August 2027

Benefits
Compensation and 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

$100,000 - $150,000/annual salary + 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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