DPU Networking Architect, Infrastructure Silicon

Minimum Qualifications: 8+ years of relevant industry experience architecting Networking datapaths and packet-processing pipelines and their hardware/software interfaces for NIC/DPU or comparable ASICsExperience 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 P4Experience 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 ASICsExperience 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 PSPExperience 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 SystemCExperience 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 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. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.$178,000/year to $250,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.