What Youll Be Doing:
Own software and system architecture for next-generation DPU management, QoS, performance, telemetry, and observability features.
Define end-to-end control and management flows across DOCA, host drivers, embedded firmware, BMC, management controllers and external management systems.
Specify telemetry and observability requirements, including counters, logs, traces, events, health monitoring, debug data, and streaming telemetry.
Define management interfaces and APIs for configuration, provisioning, lifecycle operations, diagnostics, and field serviceability.
Write clear architecture specifications, interface definitions, flow diagrams, and design documents for software, firmware, and system teams.
Partner with R&D teams to translate high-level architecture into implementable designs and guide features through development, validation, silicon bring-up, and production.
Analyze system performance bottlenecks, interoperability issues, telemetry gaps, and customer-reported issues, then feed learnings into future architecture.
Collaborate with system and cluster architects to ensure NIC/DPU features fit end-to-end AI datacenter and cloud networking designs.
What We Need To See:
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.
Ways To Stand Out From The Crowd:
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.
