Senior Software and System Architect

NVIDIA is looking for an outstanding Senior Networking Software Architect to join the NIC/DPU Software and Firmware Architecture group. In this role, you will help define the next generation of NVIDIA datacenter and AI networking platforms, with focus on DPU management, QoS, performance, telemetry, and software architecture across stacks. You will work closely with hardware designers, firmware/kernel driver teams, system engineers, validation, product management and customers. The role spans early architecture definition, pre-silicon design, bring-up, and production readiness for large-scale AI and cloud datacenter deployments. 

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  Own software and system architecture for next-generation DPU management, QoS, performance, telemetry, and observability features. 

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  Define end-to-end control and management flows across DOCA, host drivers, embedded firmware, BMC, management controllers and external management systems. 

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  Specify telemetry and observability requirements, including counters, logs, traces, events, health monitoring, debug data, and streaming telemetry. 

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  Define management interfaces and APIs for configuration, provisioning, lifecycle operations, diagnostics, and field serviceability. 

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  Write clear architecture specifications, interface definitions, flow diagrams, and design documents for software, firmware, and system teams. 

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  Partner with R&D teams to translate high-level architecture into implementable designs and guide features through development, validation, silicon bring-up, and production. 

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  Analyze system performance bottlenecks, interoperability issues, telemetry gaps, and customer-reported issues, then feed learnings into future architecture. 

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  Collaborate with system and cluster architects to ensure NIC/DPU features fit end-to-end AI datacenter and cloud networking designs. 

• B.Sc. or M.Sc. in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience. 

• 9+ years of experience in networking, system software, embedded software, firmware, or datacenter infrastructure. 

• Proven experience in software architecture, or technical leadership roles. 

• Deep understanding of networking concepts and protocols such as Ethernet, TCP/IP, RDMA/RoCE, congestion control, QoS, virtualization overlays, and traffic management. 

• Strong background with DPUs, SmartNICs, or other high-performance networking devices. 

• Experience with system management, provisioning, monitoring, telemetry, diagnostics, or lifecycle-management flows. 

• Familiarity with management protocols and frameworks such as Redfish, PLDM, MCTP, IPMI, gNMI, SNMP, Netconf, REST, or gRPC-based APIs. 

• Ability to lead cross-functional architecture discussions across software, firmware, hardware, validation, product, and customer-facing teams. 

• Excellent written and verbal communication skills, including the ability to create clear architecture documents and present trade-offs. 

• Experience defining software architecture for DPU products, including management, telemetry, QoS, performance, security, virtualization, or offload features. 

• Hands-on background with Linux networking, device drivers, firmware, embedded Linux, BMC software, DOCA, DPDK, OVS or Kubernetes networking. 

• Experience with performance counters, profiling tools, eBPF, Prometheus, Grafana, dashboards, heat maps, or large-scale telemetry systems. 

• Experience in defining and developing GAI-based analysis tools to extract insights from telemetry data and streams. 

• Background in RAS, diagnosability, serviceability, field failure analysis, production debug, or customer escalation handling. 

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the industry working with us, and we are building the networking platforms that power the AI revolution. If you are passionate about NICs, DPUs, system software, and large-scale AI networking, and you want to shape the management, telemetry, QoS, and performance architecture of future NVIDIA platforms, we want to hear from you.