AI & Systems Software Intern

Intel Corporation

Folsom (CA)

On-site

USD 95,000 - 128,000

Part time

3 days ago
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Job summary

Intel Corporation in the United States is seeking a Software Development Graduate Intern to contribute to design, development, testing, and optimization of system software across firmware, drivers, OS, middleware, and AI frameworks.

You will work with C, C++, and Python to advance AI, ML, and computing platforms, gain hands-on experience, and collaborate with engineers across software, hardware, architecture, and AI disciplines on real-world projects that align with Intel's objectives.

Qualifications

  • Pursuing a Master or PhD in Computer/Electrical Engineering, Computer Science or related STEM degree.
  • Available to work full-time for 6+ month internship.
  • 3+ months of academic or professional experience in Linux/Windows software development, C/C++, Python, ML/DL development, AI frameworks (TensorFlow and/or PyTorch), RL and/or Generative AI including LLMs and diffusion models.

Responsibilities

  • Design, develop, test, and optimize software across the stack using C, C++, and Python.
  • Support AI/ML and DL initiatives across software and hardware platforms.
  • Develop and enhance workflows supporting MLOps and DL CI/CD pipelines.
  • Collaborate with engineers across software, hardware, architecture, and AI disciplines.
  • Contribute to performance analysis, debugging, and optimization.

Skills

C/C++
Python
Machine learning
Deep learning
TensorFlow
PyTorch
Reinforcement Learning
MLOps
Linux/Windows
Academic research

Education

Master's or PhD in CS/EE or related STEM

Job description

Intel Corporation in the United States is seeking a Software Development Graduate Intern to contribute to design, development, testing, and optimization of system software across firmware, drivers, OS, middleware, and AI frameworks.

You will work with C, C++, and Python to advance AI, ML, and computing platforms, gain hands-on experience, and collaborate with engineers across software, hardware, architecture, and AI disciplines on real-world projects that align with Intel's objectives.

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