AI & ML Engineering Intern: Edge & Embedded ML

Qualcomm; Santa Clara (CA); On-site; USD 23,000 - 135,000; Full time

Benefits offered by this job

Relocation coverage

Furnished housing accommodations

Job summary

Qualcomm Technologies, Inc. is seeking a Machine Learning / AI Engineering Intern for a 11–14 week summer program in Santa Clara. You will build and test ML tools and frameworks for edge devices as part of a multi-disciplinary team.

The role requires C/C++, Python proficiency, and knowledge of ML frameworks such as TensorFlow, PyTorch, and TFLite. Applicants should be pursuing a degree in related fields with graduation around 2027 or later.

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

Skills

C

C++

Python

Education

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

Tools

TensorFlow

TFLite

PyTorch

LLVM

GCC

Job description

Qualcomm Technologies, Inc. is seeking a Machine Learning / AI Engineering Intern for a 11–14 week summer program in Santa Clara. You will build and test ML tools and frameworks for edge devices as part of a multi-disciplinary team.

The role requires C/C++, Python proficiency, and knowledge of ML frameworks such as TensorFlow, PyTorch, and TFLite. Applicants should be pursuing a degree in related fields with graduation around 2027 or later.