About this role
Full Time Entry-level Embedded AI Engineering Intern [IDA:00021] in AI at AUMOVIO in Singapore, Singapore. Apply directly through the link below.
At a glance
- Work mode
- Office
- Employment
- Full Time
- Location
- Singapore, Singapore
- Experience
- Entry-level
Core stack
- Computer Engineering
- Machine Learning
- Computer Science
- System Design
- Documentation
- Optimization
- Architecture
- Performance
- Efficiency
- Electrical
- Python
- Sales
- ML
- AI
Quick answers
What are the qualifications?
Qualifications 1. Bachelor’s or Master’s student in Electrical Engineering, Computer Engineering, Computer Science, or related field.
What skills are required?
Computer Engineering, Machine Learning, Computer Science, System Design, Documentation, Optimization, Architecture, Performance, Efficiency, Electrical, and more.
AUMOVIO is hiring for this role. Visit career page
Singapore, Singapore
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
We are seeking a highly motivated Embedded Resilient AI Engineer Intern to support the evaluation, optimization, and deployment of AI models on resource-constrained embedded platforms, including FPGA-based systems and state-of-the-art microcontrollers (MCUs).
The intern will work at the intersection of AI performance evaluation, embedded system design, and hardware-aware AI optimization, with a strong emphasis on robustness, efficiency, and deployability for automotive embedded use cases.
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.
Qualifications
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.
4.Strong analytical and documentation skills.
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.
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