Asks for

The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”

Values

The ad says“Solid understanding of Agentic AI infrastructure patterns: MCP (Model Context Protocol), A2A (Agent-to-Agent) protocol, LangChain/CrewAI/AutoGen runtime architecture, Agent tool-calling traffic patterns, and multi-agent communication topology. Experience designing disaggregated inference serving architectures where network plays a critical role: prefill-decode separation, remote KV-Cache access over RDMA/RoCE, and N-S token routing for mixture-of-experts models.”
The ad says“Solid understanding of Agentic AI infrastructure patterns: MCP (Model Context Protocol), A2A (Agent-to-Agent) protocol, LangChain/CrewAI/AutoGen runtime architecture, Agent tool-calling traffic patterns, and multi-agent communication topology. Experience designing disaggregated inference serving architectures where network plays a critical role: prefill-decode separation, remote KV-Cache access over RDMA/RoCE, and N-S token routing for mixture-of-experts models.”
The ad says“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.”
The ad says“In-depth experience building or operating large-scale API Gateway / L7 proxy systems at CSP-level traffic volumes (1M+ RPS), with proven optimization for latency-sensitive AI inference traffic. Proven contribution to cloud-native networking open-source projects (Envoy, Cilium, Istio, Kubernetes SIG-Network, or Gateway API) with public upstream records.”
The ad says“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.”
The ad says“Solid understanding of Agentic AI infrastructure patterns: MCP (Model Context Protocol), A2A (Agent-to-Agent) protocol, LangChain/CrewAI/AutoGen runtime architecture, Agent tool-calling traffic patterns, and multi-agent communication topology. Experience designing disaggregated inference serving architectures where network plays a critical role: prefill-decode separation, remote KV-Cache access over RDMA/RoCE, and N-S token routing for mixture-of-experts models.”
The ad says“Hands-on experience with BlueField DPU / DOCA dataplane development, including DPA (Data Path Accelerator) programming, hardware steering rules, and crypto/compression offload for N-S traffic.”
The ad says“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.”
The ad says“Hands-on experience with BlueField DPU / DOCA dataplane development, including DPA (Data Path Accelerator) programming, hardware steering rules, and crypto/compression offload for N-S traffic.”
The ad says“In-depth experience building or operating large-scale API Gateway / L7 proxy systems at CSP-level traffic volumes (1M+ RPS), with proven optimization for latency-sensitive AI inference traffic. Proven contribution to cloud-native networking open-source projects (Envoy, Cilium, Istio, Kubernetes SIG-Network, or Gateway API) with public upstream records.”
The ad says“In-depth experience building or operating large-scale API Gateway / L7 proxy systems at CSP-level traffic volumes (1M+ RPS), with proven optimization for latency-sensitive AI inference traffic. Proven contribution to cloud-native networking open-source projects (Envoy, Cilium, Istio, Kubernetes SIG-Network, or Gateway API) with public upstream records.”
The ad says“Hands-on experience with BlueField DPU / DOCA dataplane development, including DPA (Data Path Accelerator) programming, hardware steering rules, and crypto/compression offload for N-S traffic.”
The ad says“In-depth experience building or operating large-scale API Gateway / L7 proxy systems at CSP-level traffic volumes (1M+ RPS), with proven optimization for latency-sensitive AI inference traffic. Proven contribution to cloud-native networking open-source projects (Envoy, Cilium, Istio, Kubernetes SIG-Network, or Gateway API) with public upstream records.”
The ad says“In-depth experience building or operating large-scale API Gateway / L7 proxy systems at CSP-level traffic volumes (1M+ RPS), with proven optimization for latency-sensitive AI inference traffic. Proven contribution to cloud-native networking open-source projects (Envoy, Cilium, Istio, Kubernetes SIG-Network, or Gateway API) with public upstream records.”
The ad says“Solid understanding of Agentic AI infrastructure patterns: MCP (Model Context Protocol), A2A (Agent-to-Agent) protocol, LangChain/CrewAI/AutoGen runtime architecture, Agent tool-calling traffic patterns, and multi-agent communication topology. Experience designing disaggregated inference serving architectures where network plays a critical role: prefill-decode separation, remote KV-Cache access over RDMA/RoCE, and N-S token routing for mixture-of-experts models.”
The ad says“Solid understanding of Agentic AI infrastructure patterns: MCP (Model Context Protocol), A2A (Agent-to-Agent) protocol, LangChain/CrewAI/AutoGen runtime architecture, Agent tool-calling traffic patterns, and multi-agent communication topology. Experience designing disaggregated inference serving architectures where network plays a critical role: prefill-decode separation, remote KV-Cache access over RDMA/RoCE, and N-S token routing for mixture-of-experts models.”
The ad says“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.”
The ad says“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.”

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.

What you'll be doing:

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.

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.
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.

Ways to stand out from the crowd:

Hands-on experience with BlueField DPU / DOCA dataplane development, including DPA (Data Path Accelerator) programming, hardware steering rules, and crypto/compression offload for N-S traffic.
In-depth experience building or operating large-scale API Gateway / L7 proxy systems at CSP-level traffic volumes (1M+ RPS), with proven optimization for latency-sensitive AI inference traffic. Proven contribution to cloud-native networking open-source projects (Envoy, Cilium, Istio, Kubernetes SIG-Network, or Gateway API) with public upstream records.
Solid understanding of Agentic AI infrastructure patterns: MCP (Model Context Protocol), A2A (Agent-to-Agent) protocol, LangChain/CrewAI/AutoGen runtime architecture, Agent tool-calling traffic patterns, and multi-agent communication topology. Experience designing disaggregated inference serving architectures where network plays a critical role: prefill-decode separation, remote KV-Cache access over RDMA/RoCE, and N-S token routing for mixture-of-experts models.
Familiarity with DPU-based security and observability: inline AI traffic inspection, token-level metering and billing, Agent identity/authentication offload, and zero-trust micro-segmentation for multi-tenant Agent platforms.Proven track record of independently leading CSP network infrastructure PoC, pilot verification and large-scale production deployment projects with measurable business outcomes (latency, throughput, TCO).Familiar with semiconductor and data center technology export compliance requirements in China market.