✨ About The Role
- The intern will work with a cross-functional team to evaluate the motion control performance of autonomous vehicles.
- Responsibilities include conducting system safety analyses, such as fault injection simulations and log data analysis.
- The role involves developing requirements and detailed designs to support hardware-in-the-loop (HIL) and on-vehicle testing activities.
- The intern will directly contribute to constructing the Safety Case for vehicle deployment.
- This position offers a unique opportunity to engage in hands-on work that impacts the safety of autonomous driving technology.
⚡ Requirements
- The ideal candidate is currently pursuing a Master's or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or Computer Science with a focus on Controls engineering.
- A strong knowledge of control theory and experience with mechanical and electrical control systems is essential for success in this role.
- Familiarity with vehicle dynamics simulation tools such as Carmaker and/or Carsim will be beneficial.
- Proficiency in Python programming is required, and experience with CAN logging tools like CANalyzer is a plus.
- The candidate should be hands-on and eager to contribute to the safe deployment of autonomous vehicles.