Embedded AI Engineering Intern [IDA:00058]

AUMOVIO; Singapore; On-site; SGD 22,000 - 36,000; Full time

Job summary

AUMOVIO in Singapore seeks a motivated student to work on embedded AI acceleration for sensors and mobility systems. You will evaluate AI/ML models under constraints and help deploy FPGA/MCU-based inferences.

You will gain hands-on experience with C/C++, Python, and embedded hardware while contributing to performance benchmarking and documentation.

Qualifications

• Bachelor's or Master's student in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• Programming experience in C/C++; Python is a plus.
• Basic understanding of machine learning and embedded systems.
• Interest or exposure to FPGA or MCU-based AI acceleration.

Responsibilities

• 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.

Skills

C/C++

Python

Education

Bachelor's or Master's student in Electrical Engineering, Computer Engineering, Computer Science, or related field

Tools

FPGA

MCU tooling

Job description

Company Description

Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide.

Job Description

• 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 or Master's student in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• Programming experience in C/C++; Python is a plus.
• Basic understanding of machine learning and embedded systems.

Interest or exposure to FPGA or MCU-based AI acceleration.

Additional Information

Ready to take your career to the next level? The future of mobility isn't just anyone's job. Make it yours! Join AUMOVIO. Own What's Next.