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Randstad Canada
3+ ansCandidates need a college or university degree in marketing, business or a related field, 3-5 years of sales coordination or marketing experience, and CRM and Microsoft Office skills. Medical device or B2B technical experience is strongly preferred.
CRM system, Microsoft Excel, Microsoft PowerPoint, Microsoft Office, Company website
adecco
8+ ansCandidates need 8+ years of UX or product design experience, a strong portfolio of enterprise or regulated-industry work, and expertise in Figma and design systems. They must be legally eligible to work and live in Canada.
Figma, Figma Make, Claude Code, Replit, Angular, Microsoft Teams
Huawei Technologies Canada Co., Ltd.
5+ ansCandidates need a degree in computer science, mathematics, statistics or engineering and deep knowledge of AI theory and large models. They also need 5+ years of AI experience, experience leading large-scale training or inference systems, and strong knowledge of AI chip architecture and distributed computing.
Megatron, vLLM, SGLang
Huawei Technologies Canada Co., Ltd.
5+ ansCandidates need a Master's or Doctoral degree in Computer Science or Electronic Engineering and at least 5 years of experience in low-level computing algorithms, AI accelerators or high-performance computing. Deep knowledge of large language models, AI software stacks and large-model training and inference is required.
GPU, Compilers
Huawei Technologies Canada Co., Ltd.
20+ ansCandidates need a Master's or PhD in computer science or a related field, a research record in data management, storage or AI infrastructure, and strong C/C++ and Python systems skills. First-author publications at top-tier conferences are expected.
FAISS, ScaNN, Ray, Kubernetes, Slurm, NVMe
Huawei Technologies Canada Co., Ltd.
5+ ansCandidates need a degree in a related field, more than 5 years of large model training R&D, and deep expertise in LLM, MoE and multimodal training optimization. Familiarity with GPU and NPU hardware and cluster or cloud scheduling architecture is also required.
GPU, NPU, Deepseek, Llama
Huawei Technologies Canada Co., Ltd.
Candidates need a Bachelor's, Master's or PhD in Computer Science or Computer Engineering. They need experience building large, high-performance distributed systems, plus skills in GPU, container and AI serving technologies and in one or more programming languages.
Kubernetes, TensorRT-LLM, NVIDIA TensorRT, NVIDIA Triton, PyTorch, CUDA
Huawei Technologies Canada Co., Ltd.
Candidates need a Master's or PhD in computer science, computer engineering or a related field, and familiarity with large models such as DeepSeek and Llama. Experience with GPU/NPU hardware and Python, C or C++ is expected, and experience with AI training frameworks or inference engines is an asset.
Ascend NPU, GPU
Huawei Technologies Canada Co., Ltd.
Candidates need to be enrolled in a Bachelor's or Master's program in computer science, electrical engineering or a related field. They need internship experience with C++ and Python, a solid grasp of data structures and algorithms, and knowledge of machine learning and at least one deep learning framework.
Python, C++, TensorFlow, PyTorch, OpenCV, ffmpeg
Huawei Technologies Canada Co., Ltd.
Candidates need to be a PhD or Masters student in computer science, computer engineering or a related field. They should know large model architectures such as Llama and DeepSeek, have hardware and software experience with GPU or NPU accelerators, and be proficient in Python, C or C++.
Ascend NPU, GPU, Python, C++
Huawei Technologies Canada Co., Ltd.
Candidates need a PhD or Master's in electrical and computer engineering, computer science or a related field. They must show strong knowledge of multi-agent networks, AI ecosystems, wireless and computer networks, and 3GPP, plus strong software design skills.
Communication skills, Research, Computer engineering, Computer science, Analytical skills, Troubleshooting
Huawei Technologies Canada Co., Ltd.
Candidates need to be pursuing a degree in computer science, computer engineering, AI, electronics, or a related field. They should know large model architectures such as Llama and DeepSeek and have experience with GPU or NPU hardware and Python, C or C++.
Ascend NPU, GPU, Python, C, C++
Huawei Technologies Canada Co., Ltd.
Candidates need a Master's or PhD in computer science, computer engineering or a related field, plus knowledge of large-model architectures and training optimization. Familiarity with GPU/NPU hardware and Python, C or C++ is expected.
Ascend NPU, GPU, Python, C++
Huawei Technologies Canada Co., Ltd.
Candidates need a PhD in computer science, software engineering or AI, plus hands-on experience with code agent tools and multi-agent systems for software engineering. Proficiency in Python (or TypeScript, Go, C/C++) and strong research communication are required.
Research, Software development, Collaboration, Decision making, Debugging, Workflow
Huawei Technologies Canada Co., Ltd.
Huawei Technologies Canada needs candidates pursuing a BSc or MSc in computer science or engineering. They need strong modern C++ and Unreal Engine internals knowledge, plus experience debugging and profiling.
Unreal Engine, Unreal Insights, RenderDoc, CANN
Keywords Studios
Multiple shipped games or comparable real-time projects; Exceptional environment-art portfolio; Expertise in modular environments, materials and optimization
Unreal Engine 5, Maya, Blender, 3ds Max, ZBrush, Substance 3D Painter
EY
Candidates need hands-on experience running cybersecurity maturity or risk assessments and leading workstreams on their own. EY also wants working knowledge of frameworks such as NIST CSF 2.0 and strong written and presentation skills.
Cybersecurity, Stakeholder management, Regulatory compliance, Reporting, Documentation, Presentation skills
Valsoft Corporation
2+ ans2+ années d'expérience en développement logiciel; Excellente maîtrise de JavaScript et TypeScript; Expérience concrète avec React et/ou Next.js
Next.js, React, TypeScript, Bun, Elysia, PostgreSQL
Deloitte
5+ ansCandidates need 5+ years managing enterprise learning platforms, LMS/LXP products or learning technology roadmaps, plus hands-on Cornerstone experience and knowledge of SCORM, xAPI, LTI and Agile processes. A bachelor's degree in a related field is required; an advanced degree is an asset.
Cornerstone LMS, EdCast, Cornerstone Learn+, LinkedIn Learning, Udemy, Articulate
12 entreprises