Software Development Graduate Intern

About the role

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.

Responsibilities

• 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.

Qualifications

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.

• 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 the 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

• 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.

Skills

• 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.

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.

Pay

Annual Salary Range for jobs which could be performed in the US: $94,500.00 - 127,800.00 USD. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.

Schedule

• This role will require an on-site presence.
• Full-time for the duration of a 6+ month internship (Shift 1).

Primary Location: US, California, Folsom