Meta(Meta Platforms)岗位:DPU Networking Architect, Infrastructure Silicon Responsibilities
Architect the Networking datapath for our DPUs - packet processing and offloads, Network virtualization and overlays,
RDMA and storage transports, and inline security - from early path-finding through silicon bring-up
Decide what runs in the datapath engines, what runs in firmware, and what stays in host software, and design the interfaces between them
Define how software programs and controls the datapath - match-action tables, rule and flow programming, register and descriptor interfaces, and the offload interfaces firmware and drivers build on
Work closely with firmware, driver, and software teams so the datapath and its interfaces are clean, efficient, and genuinely usable, and evolve them as needs change
Work closely with design, DV, and PD teams on feature definition and PPA tradeoff;
refine architecture to meet the design and PD constraints.
Define architecture to maximize DV complexity including defining specific features to help ease DV
Weigh the performance, power, and area trade-offs behind your choices and back them with data, partnering with performance modeling where deeper analysis is needed
Support Design, DV and PD to resolve interface and integration issues as they come up. Support post-silicon bring-up of the Networking functionality
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of relevant industry experience architecting Networking datapaths and packet-processing pipelines and their hardware/software interfaces for NIC/DPU or comparable ASICs
Experience with SmartNIC/IPU/DPU architectures and their usages: Network virtualization, storage disaggregation, overlay networking, virtual switch, firewall/ACLs, and PSP gateways, including offload mechanisms
Experience with datacenter Networking technologies and protocols such as Ethernet, IPv6, TCP/UDP, Geneve, PSP, and SRv6, including offload mechanisms for TCP segmentation, reassembly, checksum, and receive-side scaling
Experience with RDMA and storage protocols and fabrics, including RoCEv2 and NVMe/NVMe-over-Fabric (TCP and RDMA)
Experience with congestion control (e.g., DCQCN) and emerging transports such as UET and comparable next-generation RDMA transports
Experience with on-chip scheduling and arbitration architectures and quality-of-service mechanisms -- transaction/packet schedulers, arbiters, traffic shapers, and rate limiters (meters/policers, token buckets) -- and their impact on latency, fairness, bandwidth partitioning, and throughput
Experience with datacenter network topologies and fabric architectures (e.g., Clos/fat-tree, rail-optimized fabrics) and their performance implications, including oversubscription, ECMP/load balancing, and end-to-end latency and congestion behavior
Experience with symmetric and asymmetric cryptography concepts and inline data encryption (e.g., IPSec, PSP)
Experience with domain-specific dataplane languages such as P4
Experience with data center workloads and their networking characteristics
Experience with analytical performance-modeling methods (e.g., queueing theory, Little's Law, bandwidth-delay/outstanding-transaction sizing)
Experience driving analysis independently and influencing architectural direction through data
Preferred Qualifications
PhD in Computer Science, Computer Engineering or Electrical Engineering
15+ years of relevant industry experience architecting networking datapaths and packet-processing pipelines and their hardware/software interfaces for NIC/DPU or comparable ASICs
Experience designing high-performance offload architectures for NVMe-over-Fabric
Experience designing data-plane offload/acceleration architectures using programmable processors/engines (programmable parsers, match-action, etc.)
Experience designing high-performance inline data encryption engines, such as for IPSec and PSP
Experience with hardware description languages (e.g., SystemVerilog, VHDL) and simulation environments used in ASIC development flows
Experience with GPU, machine learning, multi-threaded programming paradigm
Experience with emerging RDMA transports such as UET and comparable next-generation RDMA protocols
Experience with post-silicon performance validation and model-to-hardware correlation methodologies
Experience with performance modeling and workload characterization for networking architectures, including analytical methods (e.g., queueing theory, Little's Law) and frameworks such as SystemC
Experience with high-level synthesis, power-performance-area trade-off analysis, or PPA-driven microarchitectural optimization
Experience designing scheduling, arbitration, or rate-limiting/traffic-management hardware (e.g., hierarchical schedulers, WRR/DWRR/strict-priority arbiters, shapers/policers)
Experience developing Python-based automation pipelines for simulation orchestration, regression testing, and performance data analysis
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United States of America:$178,000/year to $250,000/year + bonus + equity + benefits
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