Principal Architect - Large Model and Training System Performance Optimization

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

• Lead the architecture design of Ascend training products, driving the continuous evolution of architectural competitiveness.

• Analyze mainstream scenario requirements and industry technology trends for Ascend, introducing innovative technologies to ensure sustained leadership in architectural competitiveness.

• Identify requirements for MindX, AI frameworks, acceleration libraries, and chip hardware, building a robust software-hardware architecture for Ascend training to achieve ongoing commercial success.

• Collaborate with other departments/teams from Huawei’s global research centers to align on strategic goals

• Spearhead project planning and define the technology/product development roadmap to guide long-term innovation

The base salary for this position ranges from $121,000 to $230,000 depending on education, experience and demonstrated expertise.