AI Software Engineer Graduate Intern

Intel CorporationVirtual - USA AZ, AZ
$113,500 - $153,600Remote

About The Position

Join Intel as an AI Software Engineering Graduate Intern, where you will contribute to the development and optimization of cutting-edge AI software solutions. In this role, you will work on designing algorithms, frameworks, and AI software architectures to solve complex engineering challenges. You will collaborate with Memory Design teams to implement and fine-tune models, conduct applied research, and integrate hardware and software components seamlessly. As an intern, you will gain hands-on experience, deepen your technical expertise, and build valuable skills while exploring potential career paths in a collaborative and innovative environment. Your contributions will directly support Intel's business goals and help shape the future of scalable AI solutions.

Requirements

  • Pursuing Master's in Computer Science or any related field.
  • 1+ years of experience in programming languages such as Python, C and C++.
  • Knowledge of machine learning engineering fundamentals and frameworks.
  • Familiarity with AI principles, computer architecture, and software debugging techniques.
  • Experience with scripting and technical documentation.
  • Enthusiasm for innovation and a passion for advancing AI technologies.
  • Demonstrated ability to solve complex technical problems effectively.
  • Strong communication skills and ability to collaborate with cross-functional teams.

Nice To Haves

  • Exposure to DDR memory interfaces, JEDEC standards.
  • Proficiency in machine learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with CI/CD processes and tools such as Jenkins.

Responsibilities

  • Participate in the design, development, and optimization of AI algorithms and frameworks.
  • Assist in the implementation and tuning of AI models for performance and accuracy across various domains.
  • Collaborate with internal product teams and validation partners to create AI software solutions for system-level deployment.
  • Support hardware and software integration to enable efficient and scalable AI solutions.
  • Conduct applied research and contribute to the advancement of AI methodologies.
  • Perform technical documentation to ensure clarity and accuracy in project deliverables.
  • Evaluate and debug AI software to improve its functionality and reliability.
  • Work within CI/CD processes, leveraging tools like Jenkins to support development workflows.

Benefits

  • Competitive pay
  • Stock bonuses
  • Health benefits
  • Retirement benefits
  • Vacation benefits
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