Embedded AI intern [IDA: 00062]

We are seeking a highly motivated Embedded Resilient AI Engineer Intern to support the evaluation, optimization, and deployment of AI models on resource-constrained embedded platforms, including FPGA-based systems and state-of-the-art microcontrollers (MCUs).

The intern will work at the intersection of AI performance evaluation, embedded system design, and hardware-aware AI optimization, with a strong emphasis on robustness, efficiency, and deployability for automotive embedded use cases.

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.

1.Bachelor’s in Electrical Engineering, Computer Engineering, Computer Science, or related field.

2.Programming experience in C/C++, Verilog/VHDL, Python is a plus.

3.Basic knowledge of FPGA-based AI acceleration

4..Basic understanding of machine learning and embedded systems.

5.Strong analytical and documentation skills.

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