Researcher – Cloud and AI Infrastructure, Microsoft Research

Microsoft Research (MSR) is a world-renowned industrial research laboratory with over 1,000 computer scientists working across the United States, United Kingdom, China, India, Canada, and the Netherlands.

 
We are seeking highly skilled Researchers - Cloud and AI Infrastructure in  Vancouver, British Columbia, with a keen interest in advancing cloud and Artificial Intelligence (AI) infrastructure architecture, and chip design using AI technologies. 

Over the past 30 years, our scientists have conducted world-class computer science research, leading to advancements in our products and services that have positively impacted millions of people’s lives and positioned Microsoft at the forefront of digital transformation. 

Required Qualifications:

• Master's Degree in relevant field AND 1+ year(s) related research experience 
   OR equivalent experience. 

Preferred Qualifications:

• Doctorate in relevant field 
  OR equivalent experience. 
  
• Experience publishing academic papers as a lead author or essential contributor. 
  
• Experience participating in a top conference in relevant research domain. 
  
• Experience in optimizing or designing hardware components and architectures to enhance performance, reliability, efficiency, and etc.  

Research Sciences IC3 - The typical base pay range for this role across Canada is CAD $79,600 - CAD $153,000 per year.

Research Sciences IC4 - The typical base pay range for this role across Canada is CAD $104,000 - CAD $193,200 per year.

Find additional pay information here:

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

• In this role, you will investigate and analyze emerging hardware technologies, trends, and advancements to stay ahead of the industry. 
• Design and optimize hardware 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. 
• Collaborate with cross-functional teams, including software researchers, designers, and engineers, to identify hardware 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 to facilitate knowledge sharing and collaboration within the organization.