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 techSurvey emerging hardware designs for key insightsCollaborate with researchers on AI workload performanceConduct performance modeling for diverse AI workloadsLead algorithm breakthroughs focused on efficiencyRequirements:Master's/Doctoral degree in relevant fields5+ years in AI accelerator and high-performance computingIn-depth knowledge of large language modelsFamiliarity with AI chip microarchitecture preferredUnderstanding of current algorithm-hardware co-design technologiesApply your high-level skills in AI performance and hardware to drive transformative results.#J-18808-Ljbffr

📌 Principal Scientist In Ai And Hardware Co-Design (Markham)
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📍 Markham