Embedded Software Engineering Intern – Chassis Controls

Job Description

Internship, Software Engineer, Torque Path & Chassis Controls (Fall 2026) | Tesla

The Tone:
This is a full-time, on-site internship at Tesla, a company recognized globally for its advancements in electric vehicles, energy storage, and solar technology. This role is within the Torque Path and Chassis Controls team, which is dedicated to developing and calibrating real-time software for critical vehicle dynamics systems, including traction control, vehicle stability control, braking, and propulsion. The position is vital as it involves contributing to solutions across the entire software development lifecycle, from concept and simulation to embedded implementation and validation, directly impacting vehicle performance, safety, and the driving experience by integrating both core controls and advanced autonomous functions.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: In-person, on-site
• Pay: $42.07–$58.89 hourly
• Team: Torque Path and Chassis Controls team develops and calibrates real-time software for critical vehicle dynamics systems.
• Mission: Develop, calibrate, and integrate real-time software for critical vehicle dynamics and autonomous functions, managing the full software development lifecycle to deliver high-performance, safety-critical solutions.
• Tech Stack: C, Python, CAN communication protocols, Vector CAN tools (CANoe, CANalyzer)

What You’ll Actually Do
• Develop: Develop and calibrate traction and stability control software.
• Collaborate: Collaborate with cross-functional teams to define and implement new chassis controls features.
• Build: Build and maintain closed-loop simulations for chassis control systems.
• Implement: Implement chassis controls features in embedded C and simulation environments.
• Create: Create tools to evaluate vehicle-level metrics in both simulation and vehicle testing.

The Must-Haves
• Background: Currently pursuing a degree in Mechatronics, Electrical Engineering, Computer Engineering, Systems Engineering, or a related field of study, with a projected graduation date between December 2026 and December 2027. This position is suitable for students actively enrolled in an academic program.
• Experience: Candidates should possess demonstrated experience in software development and debugging, coupled with experience in control systems development, calibration, or real-time embedded software. Relevant experience can stem from academic projects, FSAE participation, or prior internships in the automotive domain.
• Skills: Proficiency in C and Python is required for software development and debugging tasks. A strong knowledge of vehicle dynamics and automotive fundamentals is essential. Familiarity with automotive safety standards, including MISRA C, HARA, and FMEA, is expected. Hands-on experience with CAN communication protocols and Vector CAN tools such as CANoe and CANalyzer will be highly beneficial for this role.