Consider before submitting an application:

This position is expected to start around January 2025 and continue through the entire Spring/Winter term (i.e through April 2025) or into Summer 2025 if available. We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most internships.

International Students: If your work authorization is through CPT, please consult your school before applying. You must be able to work 40 hours per week. 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.

Location: Palo Alto, CA

You will get an opportunity to use fundamental EE / DSP / Match skills in finding and developing best in class software implementations for various applications such as self-driving cars, in-vehicle sensors, audio signal processing. The candidate is also expected to get their hands dirty in digging through source code, testing prototype firmware and propose solutions to complex problems.

Your application for the Audio Software Algorithms Engineering - Electronic Devices Internship will be considered across all opportunities for the teams listed below:

• The DSP (Digital Signal Processing)-SW team deliver a high-quality, robust, rigorously tested, and maintainable production grade embedded application SW for various sensing systems covering various sensors in a car assisting the autopilot system. A strong depth in linear algebra and digital signal processing will be a key requirement for this role, as well as experience in a high-level prototyping language such as Matlab or Python
• The Embedded DSP Firmware Implementation team is focused on implementing the algorithms in embedded firmware in C or C++. Ability to optimize algorithms for compute limited scenarios, exploiting machine level parallelism and familiarity/interest in embedded programming is a key requirement
• The Electronic Systems teams develop machine learning techniques using high level languages such as Python or Matlab and translate these high level algorithms into embedded code in C or C++ in order to research and create new signal processing.

• Currently pursuing a Degree in Electrical Engineering, Software Engineering, Computer Science / Engineering, or a related field
• Strong Matlab or Python programming skills, familiarity with common python packages
• Familiarity with machine learning algorithms, familiarity with robotics algorithms such as Kalman Filter, Particle Filter, SLAM. Strong training of math (probability, statistics, linear algebra)
• Experience in embedded C/C++ programming, board bring-up, profiling, optimization, simulation, and various levels of testing (SW only, HW/SW integration, etc.)
• Very strong mathematical skills in probability, advanced linear algebra and calculus
• Good data analysis and data visualization skills would be a huge plus
• Experience with Ethernet or CAN communication protocols is preferred