Internship, Software Compiler Engineer, AI Inference (Spring 2027)

Consider before submitting an application:

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.

Tesla is building a fully vertical AI inference stack-from custom silicon through compilers and runtimes to production models-because the highest performance comes from co-designing software and hardware so that every circuit is used as effectively as possible. Elon has noted that AI is already superhuman at many things and that we are in the singularity; the systems that turn that capability into real-world autonomy and robotics will run on the inference stack you help build.

In this role you will work on the compiler and runtime that execute neural networks in millions of Tesla vehicles and Optimus. Production deployment and analysis of live models drive the team's direction, so your work has immediate impact on latency, efficiency, and the ability to ship more complex models. With full control of the hardware and a co-designed MLIR-based architecture, the compiler can exploit features that conventional stacks never see-enabling aggressive optimization, simplification of software layers, and exact mapping of models to silicon. This is high-leverage systems work at the intersection of compilers, machine learning, and custom AI hardware.

• Take ownership of parts of the AI Inference stack (Export / Compiler / Runtime), flexible based on skills, interests, and team needs
• Collaborate closely with the AI team to guide design and development of neural networks for production deployment
• Collaborate with the Hardware team to understand current architecture and propose future improvements
• Develop algorithms that improve performance and reduce compiler overhead
• Debug functional and performance issues on massively parallel systems
• Work on architecture-specific neural network optimization algorithms for high-performance computing

• Pursuing a degree in Computer Science, Computer Engineering, or a relevant field of study with an expected graduation day 2028 or earlier
• Strong C++ programming skills and familiarity with Python
• Solid understanding of machine learning concepts and fundamentals
• Capable of delivering results with minimal oversight
• Experience with quantization, MLIR, CUDA, and LLMs is a huge plus

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Medical plans > plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D
• Short-term and long-term disability insurance (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

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.