Embedded AI intern [IDA: 00062]

Job description

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.

• Evaluate 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.
• Analyze trade-offs between different hardware platforms and optimization approaches.
• Document results and provide clear technical summaries.

Qualifications

• Bachelor’s in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• Programming experience in C/C++, Verilog/VHDL, Python is a plus.
• Basic knowledge of FPGA-based AI acceleration 4..Basic understanding of machine learning and embedded systems. 5.Strong analytical and documentation skills.