Machine Learning & Artificial Intelligence Engineering Internship – Summer 2026 at Qualcomm Technologies, Inc.

On-site - San Diego, California, United States of America

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The internship will involve working in a dynamic research environment with a multi‑disciplinary team of researchers and software developers to build best‑in‑class solutions and tools that enable state‑of‑the‑art technologies for next‑generation mobile and embedded machine learning platforms. The intern will design, develop, and test software for machine learning tools and frameworks that make models smaller and more efficient for edge devices, collaborate with internal teams, work with popular neural network frameworks, and gain exposure to Qualcomm’s SOC compute and ML hardware accelerators.

Salary

Up to USD 98/hour

Requirements

Education

  • Bachelor’s degree in computer engineering, computer science, electrical engineering or related field
  • Master’s degree in same field
  • Ph.D. in same field

Experience

  • 1+ years of experience with programming languages such as C, C++, Python

Skills

  • deep neural networks
  • machine learning algorithms
  • CNNs
  • RNNs
  • LSTMs
  • deep learning
  • model compression
  • quantization
  • optimization
  • reinforcement learning
  • neural architecture search
  • kernel optimization
  • Bayesian optimization
  • on‑device training
  • transfer learning
  • personalization
  • federated learning
  • NLP
  • ML security/privacy
  • deep generative models
  • audio/speech processing
  • computer vision
  • wireless communication
  • ML data pipelines
  • data management
  • backend/frontend applications
  • object‑oriented software design

Responsibilities

  • Design, develop, and test software for machine learning tools and frameworks to make models smaller and more efficient for edge devices
  • Collaborate with internal teams and researchers
  • Work with popular neural network frameworks such as TensorFlow, TFLite, PyTorch
  • Gain exposure to Qualcomm’s SOC compute and ML hardware accelerators

Technologies

CC++PythonTensorFlowTFLitePyTorchLLVMGCCTVMXLA

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