Edge AI & Computer Vision Intern (Embedded)

Aumovio; Singapore; On-site; SGD 20,000 - 31,000; Full time

Job summary

AUMOVIO invites an Embedded AI Engineer Intern to contribute to the innovation team, focusing on computer vision and perception algorithms for real-world applications. The role offers hands-on experience in developing and evaluating models, with opportunities to research new methods and benchmark approaches.

You will design and test object detection and tracking, work with large datasets, and collaborate with senior engineers to integrate vision algorithms into production systems on embedded

Qualifications

• Familiar with programming languages such as Python and C/C++ and embedded software concepts.
• Understanding of embedded systems including microcontrollers, embedded Linux, and real-time systems.
• Understanding of AI/ML fundamentals including deep neural networks, training, inference, and evaluation.
• Exposure to computer vision including image processing, object detection, and feature extraction.
• Familiarity with PyTorch or TensorFlow and model deployment pipelines is an advantage.
• Knowledge of Edge AI concepts including model optimization and deployment on resource-constrained devices.

Responsibilities

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

Skills

Python

C/C++

Embedded software

Embedded systems

AI/ML fundamentals

Computer vision

PyTorch

TensorFlow

Tools

CUDA

TensorRT

Job description

AUMOVIO invites an Embedded AI Engineer Intern to contribute to the innovation team, focusing on computer vision and perception algorithms for real-world applications. The role offers hands-on experience in developing and evaluating models, with opportunities to research new methods and benchmark approaches.

You will design and test object detection and tracking, work with large datasets, and collaborate with senior engineers to integrate vision algorithms into production systems on embedded