AI Software Engineering Undergraduate Intern

Intel Intel · Semiconductors · Oregon, Hillsboro, United States

Undergraduate intern role focused on designing, developing, and optimizing AI software solutions, with a specific emphasis on computer vision, machine learning, deep learning, and robotics applications. Responsibilities include implementing and tuning AI models, conducting applied research, exploring hardware-software integration, and contributing to VLA model training and fine-tuning, as well as data preprocessing.

What you'd actually do

  1. Assist in designing and developing advanced AI algorithms, frameworks, and software architectures.
  2. Implement and optimize machine learning and deep learning models to meet performance and accuracy benchmarks.
  3. Contribute to research and experimentation in AI, including physical AI and robotics applications.
  4. Collaborate with internal product teams, external partners, and cross-functional teams to develop AI solutions.
  5. Support system-level deployment of AI solutions to ensure scalable, efficient, and robust performance.

Skills

Required

  • Enrollment in a Bachelor's degree program in Computer Science, Electrical Engineering, or a related field.
  • 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 have

  • 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.

What the JD emphasized

  • physical AI and robotics applications
  • VLA (Vision-Language-Action) model training and fine-tuning

Other signals

  • AI software solutions
  • implementing and tuning AI models
  • applied research
  • hardware-software integration
  • VLA (Vision-Language-Action) model training and fine-tuning
  • data collection and preprocessing