DPU Networking Architect, Infrastructure Silicon

Onsite$178,000 - $250,000/yrPosted today

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Job details

Location: Sunnyvale or Austin
Work type: Onsite
Compensation: $178,000 - $250,000/yr
Posted: today
Apply on: metacareers.com

About this role

Meta's Infrastructure Silicon organization designs custom silicon that powers our data center infrastructure — SmartNICs/IPUs/DPUs, AI accelerators, and networking ASICs. We are looking for a Data Processing Unit (DPU) Network Architect to own how our DPUs handle networking: packet processing and offloads, network virtualization and overlays, RDMA and storage transports, and inline security. You'll decide how the networking datapath is built and where each function belongs - in hardware, in firmware, or in host software - define how software programs it, and carry those decisions from early path-finding through implementation and silicon bring-up. You'll work hand in hand with the firmware, driver, and RTL teams, backing your calls with performance and PPA analysis where deeper study is needed.

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

Compensation

$178,000/year - $250,000/year; Country: US; Bonus eligible; Equity eligible

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

California Notice

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Equal Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Accommodations

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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