Software Development Graduate Intern

Overview Join Intel's Software team and contribute to the development of next-generation technologies that power advances in Artificial Intelligence, machine learning, and computing platforms. As a Software Development Graduate Intern , you will contribute to the design, development, testing, and optimization of system software across one or more layers of the software stack, including firmware, drivers, operating systems, middleware, and AI software frameworks. You will collaborate with experienced engineers to develop innovative solutions that enable Intel platforms and technologies while gaining hands-on industry experience. What You'll Experience:

Design, develop, test, and optimize software solutions using C, C++, and Python. Support AI, machine learning, and deep learning initiatives across software and hardware platforms. Develop and enhance workflows supporting MLOps and Deep Learning CI/CD pipelines. Contribute to software performance analysis, debugging, and optimization. Work with machine learning frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras. Support research, development , and deployment efforts involving Generative AI, Large Language Models (LLMs), Diffusion Models, and Reinforcement Learning. Collaborate with engineers across software, hardware, architecture, and AI disciplines. Gain practical experience through real-world projects that support Intel business objectives and future technology innovations. Behavioral Traits that we are looking for:  Curiosity: Eager to learn new technologies and explore unfamiliar problems Initiative: Takes proactive steps to contribute and ask questions Collaboration: Works well in team environments and values diverse perspectives Analytical Thinking: Able to break down complex problems into manageable parts Adaptability: Comfortable navigating ambiguity and evolving priorities Communication: Clearly communicates technical ideas and findings Growth Mindset: Open to feedback and continuously developing skills What You Will Gain Hands-on experience applying AI to real-world security challenges. Mentorship from experienced engineers and researchers. Exposure to industry tools, workflows, and best practices. Opportunity to contribute to meaningful, impactful projects. Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.  See  Intel Benefits  for more details.

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and/or internship experience.  For information on Intel’s immigration sponsorship guidelines, please see Intel U.S. Immigration Sponsorship Information Minimum Qualifications and Experience : You should be pursuing a Master or PhD in Computer/Electrical Engineering, Computer Science or related STEM degree. Must be available to work full-time for the duration of a 6+ month internship. 3+ months of academic or professional experience in following: Software development in Linux and/or Windows environments. Programming using C, C++, and/or Python. Machine learning and/or deep learning development. AI framework usage including TensorFlow and/or PyTorch. Reinforcement Learning and/or Generative AI technologies including Large Language Models (LLMs) and Diffusion Models. Preferred Qualifications and Experience : Hands-on experience with triage/debug hardware-software issues. Development or support of Deep Learning CI/CD or MLOps workflows. Experience with creating robust, reliable Deep Learning deployment solutions.