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Software Development Graduate Intern

Intel · Folsom, CA

I
Intel

Software Development Graduate Intern

Software EngineeringInternshipFolsom, CA$94.5K–$127.8K/yr8 days ago

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.

What You'll Experience:

Key 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.

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.

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. 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.

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location:

US, California, Folsom

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

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: $94,500.00-127,800.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. 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.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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