AI Software Engineer Graduate Intern

Intel Intel · Semiconductors · United States · Remote

AI Software Engineering Graduate Intern role at Intel, focusing on developing and optimizing AI software solutions. Responsibilities include designing algorithms, frameworks, and architectures, implementing and fine-tuning models, conducting applied research, and integrating hardware/software. The role involves collaboration with Memory Design teams and internal product teams, with a focus on system-level deployment and scalable AI solutions. Interns will gain hands-on experience in a collaborative environment, contributing to Intel's business goals.

What you'd actually do

  1. Participate in the design, development, and optimization of AI algorithms and frameworks.
  2. Assist in the implementation and tuning of AI models for performance and accuracy across various domains.
  3. Collaborate with internal product teams and validation partners to create AI software solutions for system-level deployment.
  4. Support hardware and software integration to enable efficient and scalable AI solutions.
  5. Conduct applied research and contribute to the advancement of AI methodologies.

Skills

Required

  • 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

Nice to have

  • Exposure to DDR memory interfaces, JEDEC standards
  • Proficiency in machine learning frameworks such as TensorFlow or PyTorch
  • Strong communication skills and ability to collaborate with cross-functional teams
  • Familiarity with CI/CD processes and tools such as Jenkins

What the JD emphasized

  • implement and fine-tune models
  • applied research
  • AI software architectures
  • scalable AI solutions

Other signals

  • designing algorithms
  • implement and fine-tune models
  • conduct applied research
  • integrate hardware and software components
  • AI software architectures
  • scalable AI solutions