Solution & Technical Manager

Key Responsibilities:

·      Top-Level Architecture &Technology Selection: Gain deep insights into customer needs and collaboratewith stakeholders to design holistic GPU infrastructure platform architectures,covering IDC infrastructure planning, hardware topology, high-performancenetworking, and technology stack selection.

·      Technical Leadership &Governance: Provide comprehensive technical leadership for platform design anddelivery. Maintain efficient communication with customer CTOs and coretechnical teams to make strategic decisions on holistic solutions and key technicalchallenges.

·      Complex TechnicalProblem-Solving: Lead the resolution of high-difficulty technical issuesthroughout the project lifecycle. Coordinate with customers, NVIDIA, andthird-party partners to precisely identify and overcome technical bottlenecks,ensuring system stability.

·      Project Execution &Technical Control: Oversee the technical aspects of project implementation, including site surveys, hardware rack-and-stack, cabling, software/hardware testing, stress testing, and performance tuning, ensuring delivery quality meet stop-tier industry standards.

·      Knowledge Management &Enablement: Drive project retrospectives and technical knowledge accumulation. Establish a robust knowledge base and conduct internal technical training and knowledge transfer.

Qualifications:

·      Education: Bachelor’s degree or higher in Computer Science, Electronic Engineering, Automation, or related fields.

·      Experience: 8+ years of experience in cloud platforms, AI infrastructure, or large-scale data center construction, with proven track records in building enterprise-grade Cloud& AI platforms from scratch.

·      Technical Expertise:

·         - GPU Architecture: Deep understanding of NVIDIA GPU architectures, especially Blackwell series and NVLink interconnect technologies.

·         - HPC Networking: Proficiency in High-Performance Computing networks, particularly InfiniBand.

·         - Distributed Systems: Solid theoretical foundation and practical knowledge of distributed systems.

·      Infrastructure Knowledge: Familiarity with mainstream server/network equipment, Linux OS, virtualization, containerization, and data center infrastructure (power, cooling, layout).

·      Soft Skills: Strong resilience and technical leadership skills, capable of leading teams through end-to-end platform delivery.