Company:Qualcomm Canada ULC

Job Area:Interns Group, Interns Group > Interim Engineering Intern - HW

Qualcomm Overview:

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

General Summary:

 

Deep Learning Research Internship (4 months Summer 2025)  

 

Qualcomm AI Research looking for talented machine learning algorithm evaluation engineers with experience in machine learning to enable embedded deep learning.

Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, and user friendly model optimization tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit (https://github.com/quic/aimet) to enable state-of-the-art networks to run on devices with limited power, memory, and computation.

We solve challenging problems to improve speed, accuracy, and power-consumption of ML models. We optimize state-of-the-art networks to run on mobile platforms in real-time through advanced quantization and compression techniques, and cover a variety of deep learning technology areas, e.g. Convolutional neural networks, deep generative models, Large language vision, and multimodal models.

 

Programming Languages:   

Python 

Pytorch

ONNX

 

Minimum Qualifications:  

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field

Great at software development with excellent analytical, development, and debugging skills

Strong understanding of Machine Learning fundamentals

Understanding of generative AI and its usage in various application

Knowledge of machine learning libraries such as TensorFlow, PyTorch is essential

Excellent interpersonal, written, and oral communications skills

Preferred Qualifications:

MS or PhD in Computer Science/Engineering with 1+ years of professional experience or equivalent experience

2+ years of proven experience in software development for machine learning or high-performance computing with strong programming skills in Python and software design

Proficiency in designing, implementing and training DL/RL algorithms in high-level languages/frameworks (PyTorch and TensorFlow)

Strong background in at least one of the following fields: Large Language models; Diffusion models; Model compression / quantization / optimization for embedded devices; Computer vision; Audio and speech / NLP; Deep Generative

Experience with improving efficiency of AI algorithms for deployment, including familiarity with open source solutions such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit (https://github.com/quic/aimet)

LLM or Diffusion model training, finetuning.

 

Educational Requirements:  

In study towards a Masters or PhD in the following:  

Computer Science, Computer Engineering, Electrical Engineering with a graduation date of December-2025 or later

Looking 1 Summer Co-op (May - August) 

 

 

 

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.