Top Tech Jobs & Startup Jobs in Vancouver

Develop and implement visual effects shaders and procedural textures/geometry; create graphics demos and prototypes; optimize mobile graphics pipelines for performance and power; build tools to streamline shading creation; contribute research-quality work and maintain a strong visual/technical portfolio.

Conduct research and engineering on VFX and procedural shape/texture/VFX generation, develop AI/CG prototypes, transfer solutions into Huawei products, and publish findings as papers or patents.

The role involves optimizing AI training and inference systems, focusing on low-precision training, reinforcement learning, and developing software frameworks for AI accelerators to enhance performance and scalability.

This role involves optimizing AI systems for large model training and inference, focusing on performance, efficiency, and usability using low-precision training and reinforcement learning techniques.

Conduct AI/ML literature and technology trend research, produce technology reports, evaluate and recommend cutting-edge AI/ML methods, collaborate with cross-functional teams to plan and implement AI projects, and promote innovation and continuous improvement within the AI/ML team.

Develop and propose enhancements to graphics API specifications (Vulkan, OpenGL, WebGL/WebGPU, SPIR-V, glTF), apply computer graphics and GPU computing techniques, engage in KHRONOS/W3C standard activities, and contribute ML and parallel computing expertise with a strong publication record.

Develop and optimize RL post-training pipelines for LLMs, run experiments to improve performance and alignment, build scalable training/evaluation/data-generation systems, and collaborate with researchers and engineers on cutting-edge LLM projects while staying current with RL and post-training research.

The Co-op Software Engineer will work on AI infrastructure projects, optimizing systems for scalability and performance while collaborating with teams.

The role involves conducting research in graphics technology, applying machine learning solutions in real-world applications, and publishing high-quality papers or patents.

Lead the development of AI training cluster frameworks and optimization technologies, enhancing efficiency and performance for large model training scenarios.