Microsoft Principal Researcher - Cloud AI Infrastructure Microsoft Research 

Taiwan, Taoyuan City 

846809987

in the vibrant city of Vancouver, BC, Canada, our labon a mission to transform the future of artificial intelligence by bridging the gap between

a highly skilled
Principal Researcher - Cloud and AI Infrastructurewith a keen interest in advancing cloud and Artificial Intelligence (AI) infrastructure architecture, and chip design using AI technologies.

At the Vancouver lab, we focus on deeply integrating intelligent systems across every layer of computing—from infrastructure to the physical environment. Our goal is to solve complex, real-world challenges with precision, scalability, and cost-efficiency. This means working at the intersection of AI, human interaction, and environmental context through a dynamic, co-evolutionary process.

Required Qualifications:

• Doctorate in relevant field AND 3+ years related research experience

• OR equivalent experience.

• 3+ years experience in research related to infrastructure design, computer architecture, or artificial intelligence.

Preferred Qualifications:

• Doctorate in relevant field AND 5+ years related research experience

• OR equivalent experience.

• Experience publishing academic papers as a lead author or essential contributor.

• participatingin a top conference in relevant research domain.

• Experience inoptimizingor designing hardware components and architectures to enhance performance, reliability, efficiency, etc.

Research Sciences IC5 - The typical base pay range for this role across Canada is CAD $142,400 - CAD $257,500 per year.

Find additional pay information here:

• In this role, you will investigate and analyze emerging hardware technologies, trends, and advancements to stay ahead of the industry.

• Design andoptimizehardware components, systems, and architectures to enhance performance, reliability, and efficiency.

• Conduct simulations, tests, and validations to ensure hardware designs meet required specifications and performance goals.

• Develop prototypes and proof-of-concept models to demonstrate new hardware technologies and applications.

• Identify opportunities for hardware improvements and cost reductions by staying informed about industry best practices and standards.

• identifyhardware requirements and develop innovative solutions.

• Partner with manufacturing vendors and production teams to transition innovative designs and concepts into deployable systems.

• Document research findings, design decisions, and technical specifications tofacilitateknowledge sharing and collaboration within the organization.

• Embody our and .