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, enrichinglivesand fortifying societies. Our solutions are pivotal in crafting a smarter, interconnected world. Building on ournearly 40-yearhistory of era-defining technology breakthroughs, we deliver leading-edge AI, high performance, lower-power computing, and unrivaled connectivity.We’reproud 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'recommitted to engineering human progress by delivering intelligent computing everywhere.We'repassionate 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'llbe part of a communitythat'spushing the boundaries ofwhat'spossible in AI, computing, and connectivity. With a global footprint spanning over 30 countries,you'llhave the chance to collaborate with diverse talent and contribute to projects that are shaping the future of technology.





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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 up-to-date 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

Generat

📌 Intern (Winnipeg)
🏢 Qualcomm
📍 Winnipeg