Embedded AI Engineer Intern [IDA: 00051]

Aumovio SE; Singapore; On-site; SGD 13,000 - 20,000; Part time

Job summary

AUMOVIO is seeking an intern to contribute to innovative computer vision and perception system development. You will work with the R&D innovation team on algorithm design, testing, and benchmarking, focusing on real-world intelligent visual understanding.

You will explore deep learning models, training on large datasets, and collaboration with senior engineers to integrate vision components into production systems.

Qualifications

• Proficiency in Python and C/C++ with embedded software concepts.
• Knowledge of AI/ML fundamentals and computer vision basics.
• Familiarity with edge AI, hardware-software integration and real-time systems.

Responsibilities

• Assist in designing and optimizing computer vision algorithms.
• Develop and test object detection, tracking, and recognition models.
• Conduct literature reviews and benchmark new methods.
• Experiment with novel approaches for perception tasks and dataset handling.
• Collaborate with senior engineers to deploy vision algorithms into production.

Skills

Python

C/C++

Embedded software

Deep learning

Edge AI

CUDA / CUDA-X

Tools

PyTorch

TensorFlow

OpenVINO

CUDA

Job description

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:

• Assist in designing, implementing, and optimizing computer vision and perception algorithms.
• Develop and test object detection, tracking, and recognition models using state-of-the-art techniques.
• Conduct research on emerging computer vision methods, including literature reviews and benchmarking new algorithms.
• Experiment novel approaches for object detection and perception.
• Work with large datasets to train and evaluate models.
• Collaborate with senior engineers and researchers to integrate vision algorithms into production systems.

Qualifications

• 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.
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and experience with model deployment pipelines is an advantage.
• Understanding of Edge AI concepts, including model optimization, quantization, pruning, and deployment on resource-constrained devices.
• Exposure to AI acceleration technologies such as CUDA, TensorRT, OpenVINO, ONNX Runtime, or NPU-based platforms will be an advantage.
• 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.

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.