Take on the Senior Researcher role at the University of Toronto, exploring energy-efficient 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 workloads
- Architect AI accelerators for improved energy performance
- Research co-design approaches across hardware and software layers




- Develop models for simulation and evaluation
- Present findings at leading conferencesRequirements:
- Ph.D. or equivalent in Computer Engineering or related areas
- Background in AI/ML, computer architecture, or VLSI design
- Familiarity with efficiency optimization and simulation tools
- Solid publication record in relevant research
- Collaborative 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)
🏢 Fujitsu
📍 Toronto