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Qualcomm

FY27 Intern - Deep Learning Research Internship - Canada (4 Months)

Markham, ON, Canada

$54,600.00 - $103,350.00 · Full-time

Apply About employer

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Job details

Pay: $54,600.00 - $103,350.00
Job type: Full-time
Experience: 1+ years of academic experience with programming languages such as C, C++, Python, etc
Posting language: English
Posted: Oct 28, 2026

Original job description

Company:

Qualcomm Canada ULC

Job Area:

Interns Group, Interns Group > Interim Engineering Intern - Systems

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:

About Qualcomm

Qualcomm relentlessly innovates transforming businesses, enriching lives and fortifying societies. Our solutions are pivotal in crafting a smarter, interconnected world. Building on our nearly 40-year history of era-defining technology breakthroughs, we deliver leading-edge AI, high performance, lower-power computing, and unrivaled connectivity. We’re proud to be the partner of choice to many of the world’s largest enterprises. Together with our ecosystem partners, we enable next-generation digital transformation. At Qualcomm, we are engineering human progress.

Join Us in Shaping the Future

At Qualcomm, we're committed to engineering human progress by delivering intelligent computing everywhere. We're passionate about harnessing the power of technology to transform industries and improve lives. Our early career programs offer limitless opportunities for growth, mentorship, and meaningful work. By joining our team, you'll be part of a community that's pushing the boundaries of what's possible in AI, computing, and connectivity. With a global footprint spanning over 30 countries, you'll have the chance to collaborate with diverse talent and contribute to projects that are shaping the future of technology.

Our early career programs are designed to attract inventive minds, offering a platform to contribute to our long-term innovation pipeline. You'll be part of a community that values collaboration, creativity, and continuous learning. Our programs provide real-world experience, technical skills, and professional development opportunities, empowering you to make a meaningful impact and achieve your career goals. Join us for our 2027 intern class in Markham, Canada!

Maximize Your Opportunities:
Our internship hiring model routes candidates from this application into multiple project specific roles. Your "Profile Visibility" choice will guide how we manage your data across our systems. To be considered for the full breadth of internship opportunities, select the option to use your profile data for "Any Roles Globally".

If you choose to limit your data to "Only The Role I'm Applying For", it will restrict the opportunity for you to be considered across matching internship opportunities.

You can update your profile visibility preferences at any time through the Candidate Home Portal.

Steps:

Log Into Your Eightfold Candidate Home Account
Hover Over The "Profile" Dropdown
Open Settings
Edit "Profile Visibility"

Role Overview

Before there were smartphones or smart cities, before autonomous cars or 360° virtual reality videos, there was our technology. Headquartered in San Diego, for over 30 years Qualcomm inventions have inspired others to make the impossible, possible. From 5G to artificial intelligence, from IoT to automotive and extended reality applications, Qualcomm is inventing the technologies of an intelligently connected future, spearheading research efforts for the next global wireless standard, and collaborating with industry leaders in the wireless value chain to make this future a commercial reality. 

The field of computer graphics is being rapidly transformed by advances in generative AI. This internship will explore AI-driven techniques for neural rendering, interactive neural rendering, or world modeling, with a focus on improving visual quality, temporal consistency, controllability, and real-time rendering performance. The work will be inspired by recent developments in generative rendering, interactive graphics, and world simulation systems.

Responsibilities may include:

Research and develop novel generative AI techniques for neural rendering and computer graphics applications.

Investigate image and video generation, neural rendering, or interactive rendering.

Explore efficient approaches to improve rendering quality, temporal consistency, controllability, and real-time performance.

Implement and evaluate state-of-the-art methods from recent literature.

Design and conduct benchmarking, experimental evaluations, and ablation studies.

Develop scalable data generation, training, and evaluation pipelines for generative graphics systems.

Collaborate with researchers and engineers to advance next-generation AI-powered rendering technologies.

Research Impact:

The research conducted during this internship will advance the state of the art in neural rendering, interactive rendering, and world models, with the potential to contribute to publications at leading computer vision, graphics, and machine learning conferences.

Minimum Qualifications:

Experience developing deep learning models for image and video applications.

Strong foundation in deep learning fundamentals, including modern architectures, optimization, and training methodologies.

Experience with Python and PyTorch for deep learning research and development.

Prior experience with neural rendering, generative AI, computer graphics, or 3D reconstruction is a plus.

References:

DiffusionRenderer - https://arxiv.org/abs/2501.18590

RGBX-Next: Towards Realistic Generative Rendering from G-Buffers - https://arxiv.org/abs/2608.13929

Generative World Renderer - https://arxiv.org/abs/2604.02329

FrameDiffuser - https://arxiv.org/abs/2512.16670

Matrix-Game 4.0: Harnessing Video Models for Real-Time Playable Game Worlds - https://arxiv.org/abs/2610.27999

Magpie: Real-Time World Renderer for Interactive Games - https://arxiv.org/abs/2608.27168

SolarRenderer: Few-Step Generative Reference Rendering - https://arxiv.org/abs/2610.28630

StreamRender-H3: Interactive Coding Worlds with Real-time Streaming Diffusion Render - https://nvlabs.github.io/Sana/Sol-Engine/StreamRender-H3/

Education Requirements:

In study towards a bachelor’s, Master's, or PHD degree in one of the following: Electrical Engineering, Computer Engineering, Engineering Science, Computer Science, or related field
For 4-month internships: must be available May or June 2027 - August or September 2027
Expected graduation date of November 2027 or later.
1+ years of academic experience with programming languages such as C, C++, Python, etc

Qualcomm’s Internship Program

Our interns join world-class teams to help define and build what is next for mobility and the world. You’ll be paired with a mentor with visibility to your project and team, receive support from your manager, and have access to the entire Qualcomm employee community to ensure your success. To round out your internship, we host professional development workshops, social events, cross-functional speaker sessions, and an executive speaker series. In addition to competitive hourly pay and accrued vacation time, you will receive housing stipend to accommodate for the duration of your internship.

Application Process

We will review resumes on an ongoing basis, and a recruiter may reach out to you. Advancing candidates may be invited to complete a timed HackerRank challenge to evaluate their technical skill set.

Export Control Notice

This role may require an export license for candidates with citizenship in certain countries (see current country list below – subject to change). Qualcomm, like other companies, is experiencing significant delays in the export license process. Please be advised that if an export license is required, you may not be able to start work with Qualcomm until the license is granted, which may impact your ability to participate in the internship.

Countries requiring export: Armenia, Azerbaijan, Belarus, Burma (Myanmar), Cambodia, China, Cuba, Georgia, Hong Kong, Iran, Iraq, Kazakhstan, Kyrgyzstan, Laos, Libya, Macau, Moldova, Mongolia, Nicaragua, North Korea, Russia, Sudan, Syria, Tajikistan, Turkmenistan, Ukraine, Uzbekistan, Venezuela, Vietnam, and Yemen.

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.

Pay range and Other Compensation & Benefits:

$54,600.00 - $103,350.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.

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

Apply About employer

More about this job

Responsibilities

The intern will research and develop novel generative AI techniques for neural rendering and computer graphics applications. Responsibilities include designing experimental evaluations, developing training pipelines, and collaborating with researchers to advance AI-powered rendering technologies.

Requirements

Candidates must be pursuing a bachelor's, master's, or PhD degree in a relevant engineering or computer science field. Applicants should have experience developing deep learning models and proficiency in Python and PyTorch.

Skills

Deep learning
Python
PyTorch
Neural rendering
Computer graphics
Generative AI
3D reconstruction
Computer vision
Machine learning
C
C++
Data generation
Training pipelines
Benchmarking
Experimental evaluation

Benefits

Competitive hourly pay
Accrued vacation time
Housing stipend
Professional development workshops
Social events
Executive speaker series

Visa sponsorship

Not detected in the job text

Keywords

Deep Learning
Generative AI
Neural Rendering
Computer Graphics
Python
PyTorch
3D Reconstruction
World Modeling
Computer Vision
Machine Learning
C
C++
5G
Artificial Intelligence
IoT
Automotive
Extended Reality
Data Pipelines
Benchmarking
Research
Engineering
Software Development
Neural Architectures
Temporal Consistency
Interactive Rendering

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