As an AI Software Engineering Undergraduate Intern at Intel, you will contribute to the design, development, and optimization of advanced AI software solutions. This role offers hands-on experience in implementing AI models and conducting applied research across various domains, including computer vision and machine learning. You will collaborate with experts and work on innovative projects that advance Intel's leadership in AI technology. This internship provides a unique opportunity to develop your skills and make a meaningful impact in the field of artificial intelligence.

• Enrollment in a Bachelor's degree program in Computer Science, Electrical Engineering, or a related field.
• 6+ months of experience in foundational knowledge of artificial intelligence and machine learning engineering principles.
• Proficiency in programming languages such as Python.
• Experience with data collection, data preprocessing, and data analysis.
• Hands-on experience or coursework in robotics, robotics simulation, or physical AI.
• Knowledge of creating and fine-tuning vision-language-action models.

• Assist in designing and developing advanced AI algorithms, frameworks, and software architectures.
• Implement and optimize machine learning and deep learning models to meet performance and accuracy benchmarks.
• Contribute to research and experimentation in AI, including physical AI and robotics applications.
• Collaborate with internal product teams, external partners, and cross-functional teams to develop AI solutions.
• Support system-level deployment of AI solutions to ensure scalable, efficient, and robust performance.
• Develop code using programming languages such as Python and contribute to robotic simulations and VLA model training and fine-tuning.
• Participate in data collection and preprocessing to enhance datasets for training and validation.

• Intel offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.