AI Software Engineering Undergraduate Intern
Core
Design, develop, and optimize AI software solutions, specifically focusing on computer vision, machine learning, deep learning, robotics, and Vision-Language-Action (VLA) models.
Role type
Undergraduate AI Software Engineering Intern
Builds
Scalable and efficient AI solutions for hardware-software integration
Domain
Semiconductor / AI / Robotics
Deliverable
production ML models
Required skills
Python programming, AI and machine learning engineering principles, data collection and preprocessing, robotics simulation, VLA model training and fine-tuning
Preferred skills
TensorFlow, PyTorch, computer vision, convolutional neural networks, natural language processing
Technologies
Python, TensorFlow, PyTorch
Responsibilities
Design and develop advanced AI algorithms and software architectures; Implement and optimize machine learning and deep learning models; Contribute to research in physical AI and robotics; Support system-level deployment of AI solutions; Participate in data collection and preprocessing for training datasets
Seniority
Undergraduate Intern