Embedded AI Engineer Intern

About the role

Aumovio is looking for a highly motivated Embedded AI Engineer Intern to evaluate, optimise and deploy AI models on resource‑constrained embedded platforms such as FPGA‑based systems and modern microcontrollers. The role sits at the intersection of AI performance evaluation, embedded system design and hardware‑aware optimisation, focusing on robustness, efficiency and deployability for automotive use cases.

Key responsibilities

• Assess performance of common AI/ML models under embedded constraints (latency, memory, power, accuracy).
• Propose and implement embedded AI solutions suitable for FPGA or MCU platforms.
• Deploy and benchmark AI inference on FPGA‑based systems and/or up‑to‑date MCUs.
• Analyse trade‑offs between different hardware platforms and optimisation approaches.
• Document results and provide clear technical summaries.

Required profile

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science or a related field.
• Programming experience in C/C++, Verilog/VHDL; Python is a plus.
• Basic knowledge of FPGA‑based AI acceleration.
• Fundamental understanding of machine learning and embedded systems.
• Strong analytical and documentation skills.

Required skills

• C/C++ programming
• Verilog/VHDL hardware description
• Python scripting
• FPGA AI acceleration concepts
• Machine learning fundamentals
• Embedded systems development