Senior Solutions Architect, CSP System

Responsibilities

• Partner with Sales, BD and CPM teams to land NVIDIA BlueField DPU and DOCA Agent networking technologies into top-tier Chinese CSP accounts (Tencent, Baidu primary), drive technical penetration and sustainable business growth in the emerging Agent infrastructure market.
• Serve as the primary technical authority for NVIDIA Agent N-S network infrastructure solutions for Chinese CSPs, providing end-to-end consultation on DPU-accelerated API Gateway architecture, Agent traffic routing & orchestration, N-S telemetry, and inline AI inspection pipeline design.
• Design and deliver BF4/DOCA 3.0 Agent-specific N-S solutions including: hardware-accelerated Agent API Gateway (replacing Envoy/Nginx software dataplanes), inline token-level Agent traffic metering, multi-agent communication mesh acceleration, and N-S KV-Cache access optimization for disaggregated inference…
• Lead open-source network architecture contributions for NVIDIA Agent infrastructure stacks, upstream optimized integrations with cloud-native ecosystems (Kubernetes Gateway API, Envoy xDS, Cilium, eBPF), build China-localized best practices and shape industry technical standards for Agent networking.
• Conduct in-depth N-S traffic pattern analysis for Agentic AI workloads (tool-calling, RAG retrieval, multi-agent orchestration, human-agent interaction), implement DPU-level and DOCA-level dataplane optimizations, deliver production-ready reference designs and tuning guidelines for CSP mass deployment.
• Act as the key technical liaison between Chinese CSP customers and NVIDIA Networking BU (NBU) global engineering, product and R&D teams, collect high-value local Agent networking requirements, drive BlueField/DOCA product roadmap iteration, and ensure alignment with NVIDIA global technical policies.
• Lead technical workshops, hands-on training, PoC and production pilot projects for key CSP accounts, quantify and demonstrate DPU-accelerated Agent networking business value (latency reduction, throughput improvement, TCO savings vs software-only solutions), accelerate technology adoption and large-scale replication.
• Monitor cutting-edge industry trends including Agentic AI infrastructure patterns, LLM serving network topology evolution, MCP/A2A protocol standardization, disaggregated inference architecture, and next-gen cloud-native service mesh, output strategic technical insights to support team and product strategy formulation.…
• What we need to see
• Bachelor's/Master's/PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Networking, or a related field; equivalent industry experience is highly valued.

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