Embedded AI Engineering Intern

About the role

Aumovio is seeking a motivated Embedded AI Engineering Intern to support the development of AI solutions for automotive mobility platforms. You will work on evaluating and optimizing machine learning models for resource‑constrained hardware such as FPGAs and microcontrollers. This role offers hands‑on experience in cutting‑edge embedded AI within a leading mobility technology company.

Key responsibilities

• Evaluate performance of AI/ML models under embedded constraints such as latency, memory, power consumption, and accuracy.
• Propose and implement AI solutions optimized for FPGA or MCU platforms.
• Deploy and benchmark AI inference on FPGA‑based systems and modern microcontrollers.
• Analyze trade‑offs between different hardware platforms and optimization techniques.
• Document results and produce clear technical summaries for the team.

Required profile

• Currently enrolled in a Bachelor’s or Master’s program in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline.
• Programming experience in C/C++; familiarity with Python is a plus.
• Basic understanding of machine learning concepts and embedded systems.
• Interest or prior exposure to FPGA or MCU‑based AI acceleration.

Required skills

• C/C++ programming
• Python programming
• FPGA development
• MCU programming