英伟达Senior Solutions Architect, CSP System

工作描述

任职要求
• Bachelor’s/Master’s/PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field; equivalent industry experience is highly valued.
• 8+ years of hands-on experience in GPU architecture, AI system optimization, large-scale data center infrastructure, or hyperscale cloud computing, with solid experience in AI training/inference, distributed computing or HPC workloads.
• Deep understanding of GPU microarchitecture, CUDA programming model, GPU memory hierarchy and system scheduling mechanisms; proficient in performance profiling, bottleneck analysis and end-to-end AI workload tuning.
• Strong programming proficiency in C/C++ and Python; familiar with CUDA kernels, compiler toolchains, AI framework optimization (PyTorch/TensorRT) and large-scale distributed system tuning.
• Proven hands-on experience working with major Chinese CSPs or global hyperscalers, with in-depth knowledge of their public cloud AI service architectures, cluster operation mechanisms and core workload characteristics.
• Excellent technical communication and presentation skills, capable of explaining complex GPU system and AI infra technologies to technical engineers, architecture teams and business stakeholders.
• Strong cross-functional collaboration capability, able to work efficiently in a global matrix team and prioritize multiple high-value technical projects under fast-paced business demands.
• Familiar with NVIDIA full-stack products (GPU data center hardware, TensorRT-LLM, Dynamo, NCCL, CUDA software stack) is a significant plus.
• Hands-on engineering capability is mandatory; candidate must be result-oriented, self-driven and able to independently own end-to-end technical project delivery.
• Co…