About the job
We are seeking a highly skilled Principal Researcher - Cloud and AI Infrastructure with 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.
Responsibilities
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.
Embody our culture and values.
Qualifications
Minimum
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
Doctorate in relevant field AND 5+ years related research experience 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, etc.