ML/AI Engineering Intern — Edge AI & Embedded Systems

Qualcomm

New Jersey

On-site

USD 23,000 - 135,000

Full time

8 days ago
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Benefits offered by this job

Relocation coverage
Furnished housing during internship

Job summary

Qualcomm Technologies, Inc. is seeking a Machine Learning / AI Engineering Intern to help build cutting-edge software for mobile and embedded ML platforms.

You will collaborate with researchers and engineers in a dynamic, multi-disciplinary environment, applying your C/C++ and Python skills to real-world AI workloads on SOC compute and hardware accelerators. The internship runs for 11–14 weeks in Summer 2027, with opportunities to work across multiple projects in AI inference, model

Qualifications

  • 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

Responsibilities

  • Assist in building ML/AI tooling for mobile and embedded platforms.
  • Collaborate with researchers and software developers across disciplines.
  • Work with neural network frameworks and ML hardware accelerators.
  • Design, develop, and test software for ML tools and frameworks.
  • Contribute to edge-device model compression and optimization

Skills

C
C++
Python

Education

Bachelors/Masters/PhD program

Tools

TensorFlow
TFLite
PyTorch

Job description

Qualcomm Technologies, Inc. is seeking a Machine Learning / AI Engineering Intern to help build cutting-edge software for mobile and embedded ML platforms.

You will collaborate with researchers and engineers in a dynamic, multi-disciplinary environment, applying your C/C++ and Python skills to real-world AI workloads on SOC compute and hardware accelerators. The internship runs for 11–14 weeks in Summer 2027, with opportunities to work across multiple projects in AI inference, model

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