Senior Technical Expert - Distributed Data Systems

Huawei Canada has an immediate permanent opening for a Senior Technical Expert - Distributed Data Systems.

About the team:

The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.

About the job:

• Responsible for leading innovation in large-scale distributed data systems and AI + big data technologies, with the goal of building industry-leading capabilities into the company’s core products and driving commercial success through concept, architecture, and technical innovation.

• Responsible for driving technological breakthroughs in distributed data systems by integrating cutting-edge ideas from academia, industry, and the open-source community, and leading the planning of technology direction, architecture design, and key innovations.

• Responsible for implementing critical technologies in the company’s mainstream business scenarios, supporting the creation of flagship products across various domains, and exploring new business opportunities and monetization models.

• Responsible for developing the ecosystem around distributed data systems, defining ecosystem development strategies and execution plans to build strong industry influence.

The base salary for this position ranges from $190,000 to $350,000 depending on education, experience and demonstrated expertise.

About the ideal candidate:

• Master's or PhD Degree in Computer Science or related fields such as Mathematics, Computer Engineering.

• 8+ years of work experience in the related fields such as Distributed Systems.

• Strong capability in system architecture and technological innovation, with a deep understanding of the latest industry advancements in distributed data systems.

• Proven track record of successful projects and professional expertise in related domains, with the ability to lead complex initiatives to success.

• Familiar with the current trends, challenges, and applications in the field of distributed data systems and AI data infrastructure.

• Excellent strategic thinking, cross-team collaboration, and problem-solving skills, with the ability to transform advanced technologies into competitive business solutions.