Embedded AI Engineering Intern [IDA:00058]
At a glance
Junior AI Engineering role at Aumovio. Singapore, , Singapore · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Measure AI and machine-learning models against embedded limits for speed, memory use, power draw and accuracy
- Build AI approaches for FPGA or MCU hardware, then run and benchmark inference on those platforms
- Compare hardware choices and optimization methods, and explain the trade-offs
- Record results and turn them into clear technical summaries
What you bring
- You are studying toward a bachelor’s or master’s in electrical engineering, computer engineering, computer science or a related area
- You can program in C or C++; Python is an added advantage
- You understand the basics of machine learning and embedded systems
Who this fits
This junior internship suits a student interested in embedded AI acceleration, particularly on FPGA or MCU platforms. The role is onsite.
From the employer
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.
1.Evaluate performance of common AI/ML models under embedded constraints (latency, memory, power, accuracy).
2.Propose and implement embedded AI solutions suitable for FPGA or MCU platforms
3.Deploy and benchmark AI inference on FPGA-based systems and/or up-to-date MCUs.
4.Analyze trade-offs between different hardware platforms and optimization approaches.
5.Document results and provide clear technical summaries.
1. Bachelor’s or Master’s student in Electrical Engineering, Computer Engineering, Computer Science, or related field.
2. Programming experience in C/C++; Python is a plus.
3.Basic understanding of machine learning and embedded systems.
Interest or exposure to FPGA or MCU-based AI acceleration.
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.