Description
AUMOVIO is seeking an Embedded Resilient AI Engineer Intern to evaluate, optimize, and deploy AI models on resource-constrained embedded platforms, including FPGA-based systems and microcontrollers. The intern will assess latency, memory, power, and accuracy; propose and implement embedded AI solutions; benchmark inference; analyze hardware and optimization trade-offs; and document technical results. The role requires a bachelor’s degree in a relevant engineering or computer science field, basic knowledge of FPGA-based AI acceleration and embedded systems, and strong analytical and documentation skills; C/C++, Verilog/VHDL, and Python experience are advantageous.
