Lead Researcher: Energy-Efficient AI Systems

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 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.
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