Top Tech Jobs & Startup Jobs in Vancouver

Lead Huawei’s graphics standards team and define enhancements for future graphics APIs. Propose performance-focused API improvements, collaborate with standards organizations and internal product teams, and develop maintainable graphics solutions. The role requires deep computer graphics and API expertise, Khronos/W3C standards experience, technical leadership, knowledge of emerging rendering and machine learning technologies, parallel or distributed computing experience, and strong publications and communication skills.

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

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 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.

The role involves leading the development of rendering systems, mentoring team members, and optimizing key features for rendering engines, focusing on advanced techniques for real-time 3D rendering.

The intern researcher will optimize AI systems, develop solutions for training and inference, and improve performance on the Ascend platform, focusing on multimodal and reinforcement learning strategies.

The role involves conducting research on AI security, designing LLM approaches for malware classification, and building scalable data pipelines.

Lead advanced AI research projects focused on computer graphics and rendering techniques, mentoring junior engineers and translating ideas into research prototypes.

The role involves leading AI/ML technical planning, evaluating new technologies, collaborating with stakeholders, and fostering innovation in the team.