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

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 grante