Embedded AI Engineer Intern [IDA: 00051]

Posted 5 Hours Ago
Be an Early Applicant
Singapore, SGP
In-Office
Internship
Automotive • Hardware • Information Technology • Software
The Role
Work with the R&D innovation team to design, implement, and optimize computer vision and perception algorithms. Develop and test object detection, tracking, and recognition models, conduct literature reviews and benchmarking, experiment with novel approaches, train and evaluate models on large datasets, and collaborate to integrate vision algorithms into production embedded systems.
Summary Generated by Built In
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

As a team member of the Innovation team, you will be involved in the software development of innovative system solutions. This role offers hands-on experience in developing algorithms and systems that enable intelligent visual understanding for real-world applications, along with opportunities to contribute to research and innovation.

Intern would be working together with the R&D innovation team in the following tasks:
a)    Assist in designing, implementing, and optimizing computer vision and perception algorithms.
b)    Develop and test object detection, tracking, and recognition models using state-of-the-art techniques.
c)    Conduct research on emerging computer vision methods, including literature reviews and benchmarking new algorithms.
d)    Experiment novel approaches for object detection and perception.
e)    Work with large datasets to train and evaluate models.
f)    Collaborate with senior engineers and researchers to integrate vision algorithms into production systems.
 

Qualifications

a) Familiar with programming languages such as Python, C/C++, and embedded software development concepts.
b) Understanding of embedded systems, including microcontrollers, embedded Linux, hardware-software integration, and real-time systems.
c) Understanding of AI/ML fundamentals, including deep neural networks, model training, inference, and performance evaluation.
d) Exposure to computer vision and perception systems, including image processing, object detection, and feature extraction techniques.
e) Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and experience with model deployment pipelines is an advantage.
f) Understanding of Edge AI concepts, including model optimization, quantization, pruning, and deployment on resource-constrained devices.
g) Exposure to AI acceleration technologies such as CUDA, TensorRT, OpenVINO, ONNX Runtime, or NPU-based platforms will be an advantage.
h) Familiarity with embedded AI hardware platforms such as NVIDIA Jetson, Raspberry Pi, STM32, ESP32, Qualcomm RB platforms, or similar edge computing devices is an advantage.

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.​

Skills Required

  • Familiar with programming languages such as Python, C/C++, and embedded software development concepts.
  • Understanding of embedded systems, including microcontrollers, embedded Linux, hardware-software integration, and real-time systems.
  • Understanding of AI/ML fundamentals, including deep neural networks, model training, inference, and performance evaluation.
  • Exposure to computer vision and perception systems, including image processing, object detection, and feature extraction techniques.
  • Understanding of Edge AI concepts, including model optimization, quantization, pruning, and deployment on resource-constrained devices.
  • Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and experience with model deployment pipelines.
  • Exposure to AI acceleration technologies such as CUDA, TensorRT, OpenVINO, ONNX Runtime, or NPU-based platforms.
  • Familiarity with embedded AI hardware platforms such as NVIDIA Jetson, Raspberry Pi, STM32, ESP32, Qualcomm RB platforms, or similar edge computing devices.

Aumovio Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aumovio and has not been reviewed or approved by Aumovio.

  • Healthcare Strength Health, dental, and vision offerings in the U.S. are described as very good or affordable, with HSA contributions enhancing coverage. This establishes a strong medical foundation even when cash pay is middling.
  • Retirement Support A 401(k) match in the U.S. is characterized as pretty good or high, strengthening total compensation. This bolsters long‑term savings beyond base salary.
  • Leave & Time Off Breadth PTO starting around 17–18 days plus holidays, and instances of extra paid time at year‑end, indicate generous time off. This breadth can offset average base pay for some employees.

Aumovio Insights

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The Company
HQ: Frankfurt am Main
12,908 Employees

What We Do

AUMOVIO – ready for the automotive transition We are the Adaptive Powerhouse for Future Mobility, making it safe, exciting, connected, and autonomous. To achieve this goal, we offer innovative hardware and software, modern mobility solutions, and a wide range of mobility services. We act in the here and now while thinking far ahead. We are reliable, no matter what, utterly focused, and passionate team players. With nearly 93,000 employees (as of December 31, 2024), we generated revenue of almost EUR 20 billion in the business year 2024. We have more than 100 locations globally, with headquarters in Frankfurt, Germany. Inspired by Future. Driven by Technology. Learn more about our social media data protection policy here: https://www.aumovio.com/some-data-protection

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