Internship

Job Description

Consider before submitting an application:    

This position is expected to start around August or September 2025 and continue through the Fall term (ending approximately December 2025) or continuing into Winter/Spring 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time 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 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.  

About the Team

As an intern on the Dojo Performance Modeling team, you will play an integral part in efficiently running Tesla’s neural networks on our in-house custom-silicon supercomputer system. You will be involved in tasks like running ML benchmarks to analyze and debug performance bottlenecks, develop new tests and build the infrastructure to automate these processes. We are looking for a motivated engineering student that is excited by the work Tesla is doing in pushing the envelope of real-world AI. The ideal candidate will have a strong background in computer architecture, analytical and cycle-based simulation, and AI workloads, with a passion for high-performance computing and complex systems modeling.   

Job Responsibilities

• Develop and validate microarchitecture simulations of a massively parallel machine for AI training, including system architecture, core architecture, memory hierarchy, and interconnects   

• Write, debug and maintain robust infrastructure code for validating the Dojo performance

• Create and maintain performance dashboards on the Dojo system 

• Collaborate with architects and engineers to understand the requirements of the simulation and ensure that it accurately models the behavior of the system  

• Develop and maintain software frameworks and tools to support testing and deployment   

• Participate in code reviews, testing, and debugging to ensure high-quality software   

Job Requirements

• Currently pursuing a degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field 
• Strong proficiency in C/C++ and Python 
• Understanding of CPU and/or GPU microarchitecture, including pipelining, caching, and memory hierarchy 
• Experience in design, verification or validation disciplines, system/platform level debug and root cause isolation, methodology and tools