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-effective 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 conferences
Requirements:
• 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
• Strong publication record in relevant research
• Collaborative experience in international research environments
Engage 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