# Senior Solutions Architect, CSP System **Company**: NVIDIA **Location**: Shanghai **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Technology **Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Senior-Solutions-Architect--CSP-System_JR2023079?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_f1aa1499-aed ## Description As a Senior Agent Infrastructure Network Expert focusing on Cloud Service Providers (CSPs) in China, you will be a core technical pillar in NVIDIA’s CSP SA team, responsible for driving DPU/SmartNIC-based North-South network architecture strategy, Agent-aware traffic optimization, and high-value customer engagement for next-generation Agentic AI datacenter networking. You will work closely with major Chinese CSPs to address their critical demands on Agent API Gateway acceleration, N-S inference traffic orchestration, multi-agent communication infrastructure, and cloud-native network dataplane offload. You will accelerate the mass deployment and performance maximization of NVIDIA BlueField DPU and DOCA software stacks for Agentic AI N-S networking use cases, and bridge technical gaps between CSP Agent infrastructure evolution and NVIDIA global networking product roadmap. This role requires deep expertise in datacenter N-S network architecture, DPU/SmartNIC dataplane programming, cloud-native networking, and AI inference serving infrastructure, with strong capability to deliver high-value technical outcomes for hyperscale Agentic AI workloads. **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 architectures. - 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. Mentor junior SA team members on DPU/networking domains, standardize CSP Agent networking technical engagement and solution delivery processes, and drive the precipitation of high-value technical best practices. **Requirements:** - Bachelor's/Master's/PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Networking, or a related field; equivalent industry experience is highly valued. - 7+ years of hands-on experience in datacenter network architecture, cloud-native networking, DPU/SmartNIC development, or large-scale L4-L7 traffic management systems, with solid experience in North-South dataplane design, API Gateway systems, or service mesh infrastructure. - Deep understanding of datacenter N-S network architecture: load balancing, reverse proxy, API Gateway (Envoy, Nginx, HAProxy), service mesh (Istio, Cilium), and cloud-native networking (CNI, Kubernetes networking model, Gateway API). - Strong programming proficiency in C/C++ and Python; familiar with dataplane programming (DPDK, eBPF/XDP, P4, or DOCA), network protocol stacks (TCP/IP, RDMA, HTTP/2, gRPC), and high-performance packet processing. Proven hands-on experience working with major Chinese CSPs or global hyperscalers on network infrastructure projects, with in-depth knowledge of their cloud networking architecture, traffic management mechanisms, and N-S dataplane evolution. Understanding of AI inference serving architecture (vLLM, TensorRT-LLM, Triton) and how network infrastructure supports inference traffic patterns including: prefill/decode disaggregation, KV-Cache transfer, token streaming, and multi-model Agent orchestration. Excellent technical communication and presentation skills, capable of explaining complex network system and DPU acceleration 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 networking products (BlueField DPU, ConnectX SmartNIC, DOCA SDK, Spectrum switches, NetQ) 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. Committed, proactive, and capable of sustaining high-quality technical output for long-term strategic CSP projects. ## Skills ### Required - datacenter network architecture - cloud-native networking - DPU/SmartNIC development - large-scale L4-L7 traffic management systems - North-South dataplane design - API Gateway systems - service mesh infrastructure - C/C++ - Python - dataplane programming - network protocol stacks - high-performance packet processing ### Nice to have - BlueField DPU - DOCA dataplane development - DPA programming - hardware steering rules - crypto/compression offload - large-scale API Gateway/L7 proxy systems - optimization for latency-sensitive AI inference traffic - cloud-native networking open-source projects - Agentic AI infrastructure patterns - MCP protocol - A2A protocol - LangChain/CrewAI/AutoGen runtime architecture - disaggregated inference serving architectures --- Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Senior-Solutions-Architect--CSP-System_JR2023079?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)