Aumovio Logo

Aumovio

Embedded AI Engineering Intern [IDA:00021]

Posted 10 Hours Ago
Be an Early Applicant
In-Office
Singapore, SGP
Internship
In-Office
Singapore, SGP
Internship
The intern will evaluate and optimize AI models for embedded platforms such as FPGA and microcontrollers, focusing on performance and deployability.
The summary above was generated by AI
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.​

Top Skills

Ai/Ml Models
C/C++
Fpga
Microcontrollers
Python

Similar Jobs

2 Hours Ago
In-Office
Singapore, SGP
Junior
Junior
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Shift Engineer will manage advanced packaging equipment stability, address equipment issues, support NPI processes, and collaborate with engineering teams for continuous improvement.
Top Skills: Ai-Enabled ToolsFab It SystemsFault Detection & ClassificationManufacturing AutomationRdaSpcStatistical Process Control
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
This role involves developing and executing reliability test plans, managing qualification processes, driving down defect rates, collaborating cross-functionally, and mentoring team members in the semiconductor industry.
Top Skills: Cmos TechnologyDram ArchitectureJmpPython
Entry level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
As a Yield Enhancement Engineer, you will monitor yields, analyze defects, and collaborate for continuous improvements, integrating AI tools for efficiency.
Top Skills: Ai-Assisted ToolsAuto-Diagnostics SoftwareData Analysis Tools

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account