Top Tech Jobs & Startup Jobs in Toronto

Assist with creating and deploying networking solutions for AI and cloud infrastructure. Analyze industry trends and technical challenges, contribute to strategic roadmaps, and collaborate with academic and industry professionals. The role focuses on AI infrastructure, HPC and data-center networking, including RDMA, protocol optimization, traffic engineering, congestion control, topology design, resource allocation, networking architectures, software architecture, and distributed systems.

Design and develop core openJiuwen AI Agent Platform capabilities, including agent frameworks, workflows, tool calling, MCP, and multi-agent collaboration. Build AI agents for coding, research, data, and software engineering use cases. Contribute to JiuwenSwarm and open-source projects through feature development, issue resolution, documentation, examples, and community collaboration while exploring LLMs, memory, planning, evaluation, and agentic systems.

Conduct frontier research on data-efficient agentic AI, including model architectures, meta-learning, test-time adaptation, and reinforcement learning. Train deep learning models at scale, deploy agentic pipelines, design experiments and evaluations, analyze results, communicate findings, participate in brainstorming, support academic papers and technical reports, and stay current with machine learning publications.

Conduct research and design AI data-security and privacy architectures for endpoint devices. Prototype and build privacy-preserving defenses, analyze emerging attack vectors and regulations, and collaborate with global labs and product teams to transition research into production-grade endpoint security solutions.

Research and analyze state-of-the-art AI model architectures and training/inference workloads; map workloads to hardware requirements; develop performance models and deployment strategies; profile hardware/software, evaluate algorithm-hardware tradeoffs, and provide quantitative recommendations for next-generation AI accelerators.

The Co-op Engineer will analyze source code, implement new features on demo apps for Android or HarmonyOS, and deploy AI models on Huawei devices, collaborating across teams.

The Principal Engineer will architect frameworks for serverless computing, innovate vector database storage engines, and advance vector indexing and retrieval technologies.

Conduct fundamental research in video generation, video editing, and 3D computer vision. Develop state-of-the-art AI and computer vision algorithms, create research prototypes, solve real-world problems, publish in leading conferences, integrate innovations into Huawei products, and supervise interns within collaborative R&D projects.

Conduct research and development in computer vision, deep learning, LLMs, and VLMs. Develop image and video understanding or synthesis systems, multimodal reasoning and agentic applications, and optimize models for mobile computing constraints. Responsibilities include prompt engineering, model adaptation, fine-tuning, evaluation, and reinforcement-learning-based post-training. The role also involves academic research and applying machine learning techniques to real-world problems.

Conduct research and develop state-of-the-art speech and audio AI technologies. Responsibilities include literature reviews, algorithm implementation, data collection and analysis, deep learning and signal processing, and documenting, presenting, and publishing results while collaborating with researchers under supervision.