The Job

Machine Learning & Artificial Intelligence Engineering Internship – Summer 2027

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Artificial Intelligence · Software Engineering

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In short

Qualcomm is seeking Machine Learning/AI Engineering Interns for their Summer 2027 program. This role focuses on building state-of-the-art solutions for next-generation mobile and embedded ML platforms, working with researchers and software developers on cutting-edge AI technologies. Interns will gain exposure to Qualcomm's SOC compute, ML hardware accelerators, and various AI systems infrastructure projects.

Responsibilities

  • Help build best-in-class solutions and tools for next-generation mobile and embedded machine learning platforms.
  • Work in a dynamic research environment as part of a multi-disciplinary team of researchers and software developers.
  • Collaborate with internal teams and work with popular neural network frameworks.
  • Gain exposure to Qualcomm’s SOC compute and ML hardware accelerators.
  • Projects may focus on AI systems infrastructure, distributed inference platforms, compiler technologies, runtime systems, GPU acceleration, model serving, performance optimization, and large-scale deployment of machine learning workloads.
  • Design, develop, and test software for machine learning tools and frameworks that make models smaller and more efficient for edge devices.

Requirements

  • Currently enrolled in a bachelor’s, master’s, or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field.
  • Must be available for 11–14 weeks during Summer 2027 (May–September).
  • Expected graduation date of November 2027 or later.
  • 1+ years of experience with programming languages such as C, C++, Python.

Desired Qualifications

  • Currently enrolled in a Master’s or PhD degree program in computer engineering, computer science, electrical engineering, or a related field.
  • Candidates actively pursuing a degree with an anticipated graduation between November 2027 and June 2028.
  • Proficiency in deep neural networks, machine learning algorithms, and architectures (CNNs, RNNs, LSTMs).
  • Experience with ML frameworks like TensorFlow, TFLite, PyTorch.
  • Skills in neural network programming, video/image processing, and application development.
  • Knowledge of compiler frameworks (LLVM, GCC, TVM, XLA) and parallel computing.
  • Experience with AI infrastructure, inference systems, distributed computing, runtime systems, GPU programming, CUDA, Kubernetes, MLIR, or performance optimization of machine learning workloads.
  • Understanding of linear algebra operations and fast math libraries.
  • Theoretical knowledge of ML, deep learning, model compression, quantization, and optimization.
  • Experience with reinforcement learning, neural architecture search, kernel optimization, Bayesian optimization.
  • Familiarity with on-device training, transfer learning, personalization, federated learning, NLP, and ML security/privacy.
  • Experience with deep generative models, audio/speech processing, NLP, computer vision, and wireless communication.
  • Background in ML data pipelines, data management, backend/frontend applications.
  • Research excellence with publications in NeurIPS, CVPR, ICML, ICLR, ICCV.
  • Experience in object-oriented software design (OOSD).

Benefits

  • Competitive hourly pay.
  • Accrued vacation time.
  • Relocation coverage.
  • Furnished housing accommodations for the duration of the internship.
  • Pairing with a mentor.
  • Support from manager.
  • Access to the entire Qualcomm employee community.
  • Professional development workshops.
  • Social events.
  • Cross-functional speaker sessions.
  • Executive speaker series.
#Machine Learning#Artificial Intelligence#Engineering#Internship#Summer#2027#Software Development#Mobile#Embedded Systems#AI#Computing#Connectivity
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Company

Qualcomm

Job Posted

1 day ago

Employment Type

Internship

WorkMode

On Site

Experience Level

Entry

Locations

San Diego, United States of America

Austin, United States of America

Boulder, United States of America

Boxborough, United States of America

Bridgewater, United States of America

Chandler, United States of America

Irvine, United States of America

New York City, United States of America

Louisville, United States of America

Raleigh, United States of America

Santa Clara, United States of America

Seattle, United States of America

Qualification

Bachelor, Master, Doctoral

Applicants

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