Elevate data analytics capabilities as a Principal Scientist focused on AI and hardware co-design. Contribute to groundbreaking advancements in algorithm performance in a team-oriented team.
As part of the Computing Data Application Acceleration Lab, you will take on a leadership role as a Principal Scientist to enhance AI efficiency and performance. Your Master’s or Doctoral degree, combined with over 5 years of experience in computing algorithm development, will empower you to work alongside AI researchers. This position emphasizes cutting-edge innovations in AI workloads and next-generation chip development.
Key Responsibilities:
• Create universal AI performance models with acceleration tech
• Survey emerging hardware designs for key insights




• Collaborate with researchers on AI workload performance
• Conduct performance modeling for diverse AI workloads
• Lead algorithm breakthroughs focused on efficiency
Requirements:
• Master's/Doctoral degree in relevant fields
• 5+ years in AI accelerator and high-performance computing
• In-depth knowledge of large language models
• Familiarity with AI chip microarchitecture preferred
• Understanding of current algorithm-hardware co-design technologies
Apply your high-level skills in AI performance and hardware to drive transformative results.
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📌 Principal Scientist in AI and Hardware Co-Design (Ontario)
🏢 huaweicanada
📍 Ontario