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Senior Solutions Architect, CSP System

NVIDIA· Architect
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Shanghai, ShenzhenFull-timePosted 1mo ago

About the role

Senior Agent Infrastructure Network Expert focusing on Cloud Service Providers (CSPs) in China, driving DPU/SmartNIC-based North-South network architecture strategy, Agent-aware traffic optimization, and engagement with Chinese CSPs for next-generation Agentic AI datacenter networking.

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.

Qualifications

  • 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 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:DPU/SmartNIC development and dataplane programmingAPI Gateway and service meshCloud-native networkingProgramming
Nice to have:AI inference serving understanding

Benefits

  • Not specified in description
Last updated Aug 28, 2026. Interested? Apply on the company site.

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