Software Development Graduate Intern
Listed on 2026-08-20
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Details:
Job Description:
Role 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.
- 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 Tensor Flow, 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.
- 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
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.
Benefits- 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.
- We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
- Annual Salary Range for jobs which could be performed in the US: $94,.00 USD
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.
- 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 Tensor Flow and/or PyTorch.
- Reinforcement Learning and/or Generative AI technologies including Large Language Models (LLMs) and Diffusion Models.
- 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.
Student /…
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