Embedded AI Intern (Automotive)

TL;DR

Embedded AI Intern (Embedded/AI): Evaluating, optimizing, and deploying AI models on resource-constrained embedded platforms with an accent on robustness, efficiency, and deployability for automotive use cases. Focus on benchmarking AI inference on FPGA-based systems and MCUs, and analyzing trade-offs between hardware platforms and optimization approaches.

Location: hirify.global is headquartered in Frankfurt, Germany

Company

hirify.global is an independent technology and electronics company specializing in safe, connected, and autonomous mobility solutions for software-defined vehicles.

What you will do

• Evaluate AI/ML model performance under embedded constraints including latency, memory, power, and accuracy.
• Propose and implement embedded AI solutions tailored for FPGA or MCU platforms.
• Deploy and benchmark AI inference on state-of-the-art MCUs and FPGA-based systems.
• Analyze trade-offs between various hardware platforms and optimization strategies.
• Document technical results and provide comprehensive summaries.

Requirements

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Basic understanding of machine learning and embedded systems.
• Basic knowledge of FPGA-based AI acceleration.
• Strong analytical and documentation skills.

Nice to have

• Programming experience in C/C++, Verilog/VHDL, and Python.

Culture & Benefits

• Opportunity to work on the future of autonomous mobility and software-defined vehicles.
• Experience within a large-scale international organization with a global footprint.