Internship, Audio & Sensor Software Engineer, Vehicle Engineering (Winter/Spring 2027)

What to Expect

Consider before submitting an application:

This position is expected to start January 2027 and continue through the Spring term (ending approximately May 2027 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 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.

This is a cross functional internship working with the Tesla Audio and Sensing teams. In this role you will be helping to develop next generation features of Tesla cars utilizing existing sensors and hardware.

You are motivated, self-starting and thrive in a fast-paced development environment. You have ability to absorb technical documentation and learn quickly. You are comfortable developing both hardware and software. You have strong debug skills and have experience working on large codebases. You are familiar with testing and validating complex software systems.

What You’ll Do

• Debug and maintain software for data capture and storage
• Large-scale ML model training for CV and object tracking. Validate models using ground truth from mechanical test jigs and real-world datasets
• Support audio DSP algorithm development

What You’ll Bring

• Currently pursuing a aegree in Electrical Engineering, Software Engineering, Computer Engineering, Computer Science, or a related field
• Deep learning fundamentals, understanding neural networks, especially CNNs, and their application to spatial data
• Strong Python coding skills (numpy, pandas, scientific libraries); strong C/C++ coding skills; familiarity with MATLAB
• Audio DSP / audio processing and algorithm development experience
• Familiarity with audio DSP principles, acoustics principles, and human hearing
• Py Torch: ability to read, modify, and train models using Py Torch, including custom architecture and data pipelines
• Model Training & Evaluation: experience with training, validation, and metrics (MAE, Huber loss), preferably using Py Torch Lightning
• Computer Vision experience, ideally with 3D point cloud data
• Experience with camera hardware, calibration techniques

Preferred Skills:

• Experience with embedded Audio related projects
• Communicating mechanical designs, CAD
• History of DIY / self-starter projects in your free time