Embedded AI Engineer Intern — Edge AI on FPGA/MCU

Aumovio SE

Singapore

On-site

SGD 67,000 - 100,000

Part time

14 days+

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Job summary

AUMOVIO SE in Singapore is seeking an Embedded Resilient AI Engineer Intern to support evaluation, optimization, and deployment of AI models on resource-constrained embedded platforms, including FPGA-based systems and MCUs.

You will evaluate performance, propose and implement embedded AI solutions, deploy and benchmark AI inference, analyze hardware trade-offs, and document results with clear technical summaries. Join us to help advance mobility safety and autonomous systems.

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
  • Basic understanding of machine learning and embedded systems.
  • Strong analytical and documentation skills.

Responsibilities

  • Evaluate performance of AI/ML models under embedded constraints.
  • 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.

Skills

C/C++
Verilog/VHDL
Python
FPGA AI acceleration
ML basics
Embedded systems
Analytical skills
Documentation skills

Education

Bachelor's in Electrical Engineering, Computer Engineering, Computer Science

Job description

AUMOVIO SE in Singapore is seeking an Embedded Resilient AI Engineer Intern to support evaluation, optimization, and deployment of AI models on resource-constrained embedded platforms, including FPGA-based systems and MCUs.

You will evaluate performance, propose and implement embedded AI solutions, deploy and benchmark AI inference, analyze hardware trade-offs, and document results with clear technical summaries. Join us to help advance mobility safety and autonomous systems.

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