Embedded Software Engineer Intern - AI Platforms

Job Description

Consider before submitting an application:

This position is expected to start August or September 2026 and continue through fall term (ending approximately December 2026) or continuing into Winter/Spring 2027 if available and there is an opportunity to do so. 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 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.

Internship Program at Tesla:

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

About the Team:

This team builds critical tools and infrastructure that enable Tesla to develop software with precision and agility. Our mission is to enhance productivity, minimize the potential for human error, and optimize development processes. The team’s core technology is an infrastructure that describes how our complex control systems communicate, and augments the engineering process with analysis, visualization, and code generation tools.

As a member of this team, you will shape the landscape for how Tesla designs future systems. This is a software development role that requires someone who likes to think about the big picture. You will work with component owners across vehicle, robot, and energy organizations to develop new technologies that act as an engineering force multiplier. You will excel on this team if you thrive on autonomy and enjoy the freedom (and responsibility) of driving your own projects from concept to completion. 

Job Responsibilities

• Interface with key leaders of components spanning all Tesla products including energy, autopilot, robot, powertrain and vehicle controls, and service  
• Develop code generators for highly efficient embedded code and work with component teams to integrate with their microcontrollers  
• Advance our developer tooling to scale up with the rapidly increasing number of products and variants  
• Identify opportunities to improve organizational efficiency and reduce cost  
• Design, develop and deploy tools and services to augment the development process 

Job Requirements

• Currently pursuing a degree in Computer Science, Computer Engineering, Software Engineering, or a related field of study with a graduation date between December 2026 – December 2027      
• Rust experience 
• Python experience 
• Excitement to develop internal tools  
• Experience in data structures and algorithms 
• A demonstrated understand of system design principles including scalability and maintainability 
• The ability to write clean, well-documented code and debug for performance and reliability 
• Excellent interpersonal, communication, and collaboration skills    
• Autonomy and resourcefulness to drive solutions from initially ambiguous requirements