Internship, Industrial Machine Vision Software Development Engineer, Cell Engineering (Fall 2025)

Consider before submitting an application:

This position is expected to start August/September 2025 and continue through the entire Fall term (i.e. through approx December 2025) or into Winter/Spring 2026 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most 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.

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.

Actively participate in the development of the Tesla industrial machine vision software. The intern will work ondeveloping new features for this highly optimized Tesla built software used on the cell manufacturing production lines. This software must efficiently grab, analyze, and save images of cells in milliseconds, 24/7. On top of fixing bugs and adding new features, the intern will be tasked with optimizing certain vision inspections.

Location: Fremont, CA or Austin, TX

• Build high-speed PLC communication interfaces

• Build modern UIs in WPF

• Build software automation tools

• Fix production critical bugs

• Optimize machine vision algorithms

• Build new camera communication interfaces

• Pursuing a Degree in a relevant program such as Software Engineering or related field

• C#/.NET proficiency

• Experience with software development: GitHub, Jira

• Industrial machine vision experience highly valued (especially with the MVTec Halcon library)

• Experience working with industrial machine vision cameras

• Experience coding hardware communication interfaces