Take on the Senior Researcher role at the University of Toronto, exploring energy-effective AI platforms. Collaborate globally to advance AI accelerator research and innovation.This position situated in Toronto invites candidates to work within our Advanced Computing R&D team. Your mission will be to enhance the performance-per-watt of AI systems through algorithmic and architectural innovations. Collaborate with academic and industrial leaders across North America and Japan for a truly impactful research experience.Key Responsibilities:Investigate energy-efficient algorithms for advanced workloadsArchitect AI accelerators for improved energy performanceResearch co-design approaches across hardware and software layersDevelop models for simulation and evaluationPresent findings at leading conferencesRequirements:Ph.D. or equivalent in Computer Engineering or related areasBackground in AI/ML, computer architecture, or VLSI designFamiliarity with efficiency optimization and simulation toolsStrong publication record in relevant researchCollaborative experience in international research environmentsEngage with cutting-edge research to shape the future of AI energy efficiency at the University of Toronto.#J-18808-Ljbffr

📌 Lead Researcher: Energy-Efficient Ai Systems (Toronto)
🏢 University of Toronto
📍 Toronto