Senior Researcher, Energy-Efficient AI Platform (Algorithm, Architecture and Unconventional Computing Devices)
Location

University of Toronto (St. George Campus), Toronto, Canada

Overview
We are seeking highly motivated researchers and engineers to join our Advanced Computing R&D; team working on next‑generation AI accelerators. As AI continues to scale, improving energy efficiency has become a critical challenge. Our goal is to increase performance per watt through co‑design across algorithms, architecture, and emerging device technologies. This position offers a unique opportunity to conduct cutting‑edge research in collaboration with leading academic and industrial partners in North America, Japan, and beyond.

Key Responsibilities

Conduct research on energy‑efficient AI algorithms for next‑generation workloads

Design and evaluate AI accelerator architectures optimized for performance‑per‑watt

Explore co‑design methodologies across algorithms, hardware architectures, and emerging technologies

Develop simulation, modeling, and benchmarking frameworks for accelerator evaluation

Collaborate with researchers at the University of Toronto and partner institutions in Japan and the United States

Contribute to and present research results at top‑tier conferences (e.g., DAC, ISSCC, NeurIPS)

Work closely with global teams, including a Japan‑based research group, to drive joint research initiatives

Qualifications

Ph.D. (or equivalent experience) in Computer Engineering, Electrical Engineering, Computer Science, or related fields

Strong background in one or more of the following:

AI/ML algorithms and model optimization

Computer architecture (especially accelerators, GPUs, or domain‑specific architectures)

VLSI design or hardware‑software co‑design

Emerging devices and technologies for computing





Experience with performance, power, and efficiency optimization

Familiarity with simulation tools, ML frameworks, or hardware design environments

Strong publication record or demonstrated research capability

Preferred Qualifications

Experience in cross‑layer co‑design (algorithm and architecture)

Knowledge of low‑power design techniques or advanced semiconductor technologies

Experience in collaborative international research projects

Work Environment

Located within the University of Toronto campus, enabling close collaboration with world‑class faculty and researchers

Hybrid work model: combination of on‑site collaboration and work from home flexibility

Active engagement with global research communities, especially in North America

Opportunities to participate in leading international conferences and workshops

Close collaboration with a Japan‑based research team, enabling global‑scale innovation

Why Join Us

Tackle one of the most critical challenges in AI: energy‑efficient scaling

Work at the intersection of AI, hardware, and emerging technologies

Collaborate with top researchers across academia and industry worldwide

Contribute to breakthrough innovations shaping the future of computing

Benefits & Compensation
Salary range: $103,312 to $165,300 USD. Short‑term incentive may be available. Full range of health, 401k, and other benefits available.

Relocation
Supported: Yes.

Visa Sponsorship
Approved: No.

Diversity & Inclusion
At Fujitsu, we are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity or expression, genetic information, or veteran status.

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📌 Senior Researcher (Ontario)
🏢 Fujitsu
📍 Ontario