Qualcomm
Multimedia Engineering Internship – Summer 2027
San Diego, California +1 · On-site · Internship · Posted Sep 18, 2026
- Location
- San Diego, California
Santa Clara, California - Experience
- 1+ years of academic experience with programming languages such as C, C++, Python.
- Education
- Currently enrolled in a bachelor’s, master’s, or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field.
- Visa sponsorship
- An export license may be required for candidates with citizenship in certain listed countries; if required, it must be granted before work can start and may affect internship participation.
About the job
Supports system-level architecture, analysis, budgeting, and optimization of multimedia technologies and use cases for Snapdragon devices, with project placement determined by the candidate’s background.
What you'll do
- Work on multimedia technologies such as camera, video, audio, speech, GPU, modem, CPU, and computer vision.
- Contribute to system-level architecture, analysis, budgeting, and optimization to improve power efficiency and performance.
What they ask for
- Currently enrolled in a bachelor’s, master’s, or Ph.D. program in computer engineering, computer science, electrical engineering, or a related field.
- Available for 11–14 weeks during Summer 2027 (May–September).
- Expected graduation date of November 2027 or later.
- 1+ years of academic experience with programming languages such as C, C++, Python.
Nice to have
- Currently enrolled in a Master’s or PhD program in a related field.
- Experience with machine learning frameworks (TensorFlow, PyTorch), deep learning, neural networks; strong understanding of signal processing; or effective programming in C/C++, Python, and/or Matlab.
Pay
$17.00 - $98.00 (hourly pay; currency not stated)
Tools
C, C++, Python, Matlab, OpenCL, Vulkan/DX, TensorFlow, PyTorch
AI focus
Preferred experience includes machine learning frameworks, deep learning, and neural networks; computer vision work may include DNNs.
Model-written summary · the original posting is authoritative