Embedded AI Engineering Intern [IDA:00058]

1.Evaluate performance of common AI/ML models under embedded constraints (latency, memory, power, accuracy).

2.Propose and implement embedded AI solutions suitable for FPGA or MCU platforms

3.Deploy and benchmark AI inference on FPGA-based systems and/or up-to-date MCUs.

4.Analyze trade-offs between different hardware platforms and optimization approaches.

5.Document results and provide clear technical summaries.

• Bachelor’s or Master’s student in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• Programming experience in C/C++; Python is a plus.

3.Basic understanding of machine learning and embedded systems.

Interest or exposure to FPGA or MCU-based AI acceleration.

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