AI Software Engineering Undergraduate Intern

IntelHillsboro, OR
Onsite

About The Position

As an AI Software Engineering Undergraduate Intern at Intel, you will play a pivotal role in shaping the future of artificial intelligence. You will have the unique opportunity to contribute to the design, development, and optimization of cutting-edge AI software solutions across diverse domains such as computer vision, machine learning, and deep learning. By working on innovative projects, you will gain hands-on experience in implementing and tuning AI models for performance and accuracy, conducting applied research, and exploring hardware-software integration to enable scalable and efficient AI solutions. This internship offers a platform to develop your skills, collaborate with world-class experts, and make a meaningful impact in advancing Intel's leadership in AI technology.

Requirements

  • Enrollment in a Bachelor's degree program in Computer Science, Electrical Engineering, or a related field.
  • 6+ months of experience in the following:
  • Foundational knowledge of artificial intelligence (AI) and machine learning engineering principles.
  • Proficiency in programming languages such as Python.
  • Experience with data collection, data preprocessing, and data analysis.
  • Hands-on experience or coursework in robotics, robotics simulation, or physical AI
  • Knowledge of creating and fine-tuning vision-language-action (VLA) models.

Nice To Haves

  • Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, or similar.
  • Understanding of computer vision, convolutional neural networks, or natural language processing concepts.
  • Interest in exploring innovative AI applications and real-world integration.
  • Eagerness to learn and grow in a fast-paced, technology-driven environment.

Responsibilities

  • Assist in designing and developing advanced AI algorithms, frameworks, and software architectures.
  • Implement and optimize machine learning and deep learning models to meet performance and accuracy benchmarks.
  • Contribute to research and experimentation in AI, including physical AI and robotics applications.
  • Collaborate with internal product teams, external partners, and cross-functional teams to develop AI solutions.
  • Support system-level deployment of AI solutions to ensure scalable, efficient, and robust performance.
  • Develop code using programming languages such as Python and contribute to robotic simulations and VLA (Vision-Language-Action) model training and fine-tuning.
  • Participate in data collection and preprocessing to enhance datasets for training and validation.
  • Gain exposure to Intel's innovative culture and future-focused technology initiatives.

Benefits

  • competitive pay
  • stock bonuses
  • health
  • retirement
  • vacation
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