Landscape Architect

Join AECOM as a Landscape Architect where you will play a pivotal role in designing and managing innovative landscape projects. Collaborate with multidisciplinary teams to create sustainable outdoor environments that enhance community well-being. Your expertise in landscape design will contribute to various projects, ensuring aesthetic appeal and environmental harmony.

Join AECOM as a Senior Landscape Architect, where you will leverage your expertise to create sustainable and innovative landscape designs. You will collaborate with multidisciplinary teams to deliver exceptional projects that enhance the built environment while promoting ecological balance.

Join Huawei Canada as a Senior Principal Architect and lead groundbreaking innovations in window systems and graphics.About the Team:Be part of a dynamic web, windowing, and graphics team dedicated to developing advanced architectures that enhance the rendering capabilities of ArkUI and web platform content. Engage in pioneering research to customize GPU drivers tailored for web rendering needs, streamline Chrome rendering architectures for TBDR GPU targets, and explore concurrent web layout techniques, leveraging the unique vertical integration possibilities offered by Huawei’s HarmonyOS.Job Responsibilities:Deliver expert insights into OS graphics software stacks and evolving hardware trends, focusing on GUI, display, and input technologies.Spearhead the identification of critical technologies and guide the team in researching and implementing proof of concepts (PoCs).Lead collaboration efforts between the Canadian team and the engineering team based in China to ensure seamless production processes.

Join Huawei Canada as a Senior Principal Architect and be at the forefront of innovation in web technologies.About Our Team:The Web, Windowing, and Graphics team is dedicated to pioneering unique architectures aimed at enhancing the rendering capabilities of ArkUI and web platform content. Our research encompasses customizing GPU drivers tailored for web rendering, streamlining the Chrome rendering architecture for TBDR GPU targets, and optimizing concurrent web layouts to leverage the full potential of Huawei’s HarmonyOS.Your Role:Stay ahead of web engine and web application framework technology trends.Identify critical technologies and lead the team in researching and implementing proof of concepts (PoCs).Guide the Canadian research team to collaborate effectively with the engineering department for successful production outcomes.

Join Cloudpipe as a QA Architect/Consultant, where you will lead our Software Quality Assurance team and spearhead innovative QA initiatives. This senior role encompasses managing QA processes, optimizing testing strategies, conducting risk analyses, and overseeing resource planning for client projects.We seek a candidate with a robust background in designing QA architecture across various development methodologies, including Agile, Waterfall, Kanban, and Hybrid Software Development Life Cycles.

Join Huawei Canada as a Principal Architect and shape the future of AI.About Our Team:At the Computing Data Application Acceleration Lab, we are dedicated to pioneering a global data analytics platform through three specialized teams harnessing cutting-edge programming technologies. Our focus encompasses full-stack innovations, emphasizing software-hardware co-design and optimizing data efficiency across both storage and runtime layers. We are also at the forefront of developing next-gen GPU architectures tailored for gaming, cloud rendering, VR/AR, and Metaverse applications.Our lab strives to enhance algorithm performance and training efficiency across various sectors, ensuring sustained competitive advantage.Job Responsibilities:Collaborate with internal and external stakeholders to spearhead the design of foundational model architectures for LLM, Code, and Multimodal subfields through innovations in post-training and continual training methodologies, aiming to develop foundational models that exhibit state-of-the-art performance and hardware efficiency.Define technical specifications for large-scale distributed training and inference infrastructures, including parallelization and operator fusion, while analyzing the computational characteristics of standard architectures to guarantee the precision and advancement of AI hardware and infrastructure evolution.